AI/ML is not Sexy

One would think that the new sexy in the startup capital of the world is self-driving cars, AI/ML… I got news for you! AI/ML (esp. Machine Learning) is not listed in Gartner’s hype cycle for 2018.

Source: https://commons.wikimedia.org/wiki/File:Hype-Cycle-General.png

This was corroborated on my recent trip to the valley and the US east coast, where I met several investors, founders, corp dev and other partners of the startup community. It was evident that the AI/ML hype which peaked in 2016 & 2017 is no longer considered a buzzword. It is assumed to be table stakes. What you do with AI/ML is something everyone is willing to listen to. Using AI/ML to solve a high-value B2B SaaS problem is Sexy! (Gartner trends for 2018).

As the hype with AI/ML settles down, B2B startups across the globe are discovering the realities of working the AI/ML shifts for SaaS. Many AI tools & frameworks in the tech stack are still evolving and early pioneers are discovering constraints in the stack and creatively building workarounds as they build their products.

Many entrepreneurs are watching from the sidelines the unfolding of the AI/ML hype, wondering on many valid questions like these (and more):

Q: Do I have to stop what we are building and jump onto the AI bandwagon? No.
Q: Are the AI/ML resources mature & stable to build better value products? No, they are still evolving.
Q: Do I need expensive investments in constrained resources? No, not until you have a high-value problem to solve.

B2B SaaS startups go through 2 key struggles. How to find market-fit and survive? And how to stay relevant and grow. And if you don’t evolve or reinvent as the market factors change, there are high chances for an upstart to come by and disrupt you. The iSPIRT entrepreneur playbooks look to help entrepreneurs get clarity on such queries and more. Our goal is to help our startups navigate such market shifts, stay relevant and grow. Our mini roundtables Playing with AI/ML are focused on WhyAI for SaaS discussions in multiple cities. If you or a startup you know may benefit do register

The MiniRT Agenda

Seeding & creating an active discussion on Why AI/ML? What is the higher order value being created? How to identify the value & opportunities to leverage AI? How to get started with an AI playground (if not already running)? How to think of data needs for AI/ML investments, How to address the impact on Product & Business… Insights from these sessions are meant to help refine our approach & readiness to leverage AI/ML for building higher order value products. And in doing so building a vibrant community focused around navigating this shift.

Upcoming PlaybookRTs on AI/ML

6-Oct (Chennai) 10 am – 1 pm – MiniRoundTable on WhyAI for B2B SaaS – Shrikanth Jagannathan, PipeCandy Inc
18-Oct (Bangalore) 6 pm – 8 pm MiniRoundTable with Dr Viral Shah on AI/ML Tools & discuss your ML/DeepLearning challenges
27-Oct (Delhi/Gurgaon) 2 pm – 6 pmMiniRoundTable on WhyAI for B2B SaaS, Adarsh Natarajan, CEO & Founder – Aindra Systems
TBD (Bangalore)MiniRoundTable on WhyAI for B2B SaaS, (based on registered interest)
TBD (Mumbai)MiniRoundTable on WhyAI for B2B SaaS, (based on registered interest)

The AI+SaaS game has just begun and it is the right time for our hungry entrepreneurs to Aspire for the Gold, on a reasonable level playing field.

Click to Register for the AI/ML Playbooks Track.

Please note: All iSPIRT playbooks are pro-bono, closed room, founder-level, invite-only sessions. The only thing we require is a strong commitment to attend all sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

Image source: https://commons.wikimedia.org/wiki/File:Hype-Cycle-General.png

Interesting Reads

The slow, light touch of AI in Indian Saas

SaaSy bear SaaSy bear what do you see?

Shifts for SaaS - SaaSy Bear

I see 3 shifts critical for me!

Taking a line from the popular Brown Bear children’s book, I believe that our SaaS startups have a real opportunity to leverage some leading shifts in the global SaaS evolution. While there are many areas of change – and none less worthy than the other – I am highlighting 3 shifts for SaaS (tl;dr) which our entrepreneurs can actually work with and help change their orbit:

  • Market shifts with AI/ML for SaaS to build meaningful product & business differentiation,
  • Platform Products shift to transform into a multi-product success strategy,
  • Leveraging Partnerships for strategic growth and value co-creation.

Some background

I joined iSPIRT with a goal to help our community build great global products. I believed (and still do) that many entrepreneurs struggle with the basics of identifying a strong value proposition and build a well thought out product. They need strong support from the community to develop a solid product mindset & culture. My intent was to activate a product thinkers community and program leveraging our lean forward playbooks model.

I had several conversations with community members & mavens on playbooks outcomes and iterating our playbook roundtables for better product thinking. I realized that driving basic product thinking principles required very frequent and deeper engagement with startups. But our playbooks approach model – working in a distributed volunteer/maven driven model – is not set up to activate such an outcome. Through our playbooks model, our mavens had helped startups assimilate best practices on topics like Desk Sales & Marketing, something that was not well understood some years back. This was not a basic topic. The power of our playbook RTs was in bringing the spotlight on gaps & challenges that were underserved but yet highly impactful.

As a product person, I played with how to position our playbooks for our entrepreneur program. I believe our playbooks have always been graduate-level programs and our entrepreneurs are students with an active interest to go deep with these playbooks, build on their basic undergraduate entrepreneurship knowledge, and reach higher levels of growth.

The product thinking and other entrepreneurial skills are still extremely relevant, and I am comforted by the fact that there are many community partners from accelerators like Upekkha to conclaves like NPC and event-workshop formats like ProductGeeks which are investing efforts to build solid product thinking & growth skills.

As the SaaS eco-system evolves, and as previous graduate topics like desk sales & marketing are better understood, we need to build new graduate-level programs which address critical & impactful market gaps but are underserved. We need to help startups with meaningful & rapid orbit shifts over the next 2-3 years.

Discovering 3 Shifts for SaaS

Having come to this understanding I began to explore where our playbooks could continue to be a vibrant graduate-level program and replicate our success from the earlier playbooks. Similar to an entrepreneur’s journey, these three shifts became transparent through the many interactions and explorations of SaaS entrepreneurs.

Market Shift with AI/ML for SaaS

There is no doubt that AI is a tectonic shift. The convergence of big data availability, maturity of algorithms, and affordable cloud AI/ML platforms, has made it easy for SaaS startups to leverage AI/ML. During a chance roundtable learning session on Julia with Dr. Viral Shah & Prof Alan Edelman, it was clear that many entrepreneurs – head down into their growth challenges – were not aware of the realities behind the AI hype. Some thought AI/ML should be explored by their tech team, others felt it required a lot of effort & resources. The real challenge, however, is to discover & develop a significantly higher order AI-enabled value to customers than was feasible 2 years ago. While AI is a technology-driven shift, the implications for finding the right product value and business model are even greater.

As I explored the AI trend I saw a pattern of “gold rush” – build a small feature with rudimentary AI, market your product as an AI product… – making early claims with small changes which do not move the needle. It became clear that a step-by-step pragmatic thinking by our SaaS startups was required to build an AI-based leapfrog value proposition. This could help bring our startups to be at “par” and potentially even leap ahead of our global brethren. Here was an opportunity to create a level playing field, to compete with global players and incumbents alike.

To validate my observations, I did quick small research on SaaS companies outside of India on their approach with AI. I found quite a few startups where AI was already being leveraged intrinsically and others who were still trying to make sense. Investments varied from blogging about the AI trend, branding one as a thought leader, to actually building and delivering a strongly differentiated product proposition. E.g.:

There are no successes, yet! Our startups like Eka, Wingify, FreshWorks, WebEngage… have all been experimenting with AI/ML, stumbling and picking themselves up to build & deliver a higher level of value. Some others are setting up an internal playground to explore & experiment. And many others are waiting on the shore unsure of how to board the AI ship.

How do we enable our companies to create new AI playgrounds to analyze, surface, validate and develop higher order customer values & efficiencies? To chart a fruitful journey with AI/ML there are many challenges that need to be solved. And doing it as a group running together has a better chance of success.

The AI+SaaS game has just begun and it is the right time for our hungry entrepreneurs to Aspire for the Gold on a reasonable level playing field.

Shift to Platform Products

As market needs change, the product needs a transform. As new target segments get added different/new product assumptions come into play. In both these scenarios existing products begin to age rapidly and it becomes important for startups to re-invent their product offerings. To deal with such changes startups must experiment and iterate with agility. They require support from a base “internal” platform to allow them to transform from a single product success strategy to scaling with multiple products strategy.

This “internal” base platform – an infrastructure & layout of technology components to interconnect data & horizontal functional layers – would help to build & support multiple business specific problem-solution products (vertical logics). The products created on such a platform provide both independent as well as a combined value proposition for the customers.

Many startups (Zendesk, Freshdesk, Eka, WebEngage…) have undertaken the painful approach of factoring an internal platform to transform their strategy & opportunity. Zoho has been constantly reinventing itself and launching new products on a common platform, some of which are upending incumbent rivals in a very short period of time. WebEngage transformed itself from a “tool” into an open platform product.

“As the dependency on our software grew, customers needed more flexibility to be able to use their data to solve a wide range of business problems…significant difference in the way we build products now. We have unlocked a lot of value by converting ourselves into an open platform and enabling customer data to flow seamlessly across many products.” – Avlesh Singh, WebEngage

The effort to build an internal platform appropriately architected to support growing business needs (many yet unknown) is non-trivial and requires a platform thinking mindset for increased business development. It must be architected to allow rapid co-creation of new & unique product values in collaboration with external or market platforms. This can help the startup be a formidable player in the growing “platform economy”.

Leveraging Potential Strategic Partnerships

A strategic partner offers 2 benefits for startups. First is the obvious ability to supercharge the startup’s GTM strategy with effective distribution & scale. How does one make a strategic partnership? Pitching to a strategic partner is very different from pitching to a customer or investor. PSPs look for something that is working and where they can insert themselves and make the unit economics even better. 

“I thought I knew my pitch and had the details at my fingertips. But then I started getting really valuable, thought-out feedback…I had to focus on pitching to partners, not customers.” – Pallav Nadhani, FusionCharts

The second leverage with a partner is the ability to innovate in the overlap of the partner’s products & offerings and the startup’s product values. A good partner is always looking for startups which can co-create a unique value proposition and impact an extremely large customer base.

“…we still have only three four percent market share when it comes to customers. So if we have to participate we have to recognize that we are not gonna be able to do it alone we’re going to have to have a strategy to reach out to the entire marketplace and have a proposition for the entire marketplace…you need to (do it) through partnerships.” – Shikha Sharma, MD Axis Bank

Both these partnership intents if nurtured well can bring deep meaningful relationship which can further transcend scale into a more permanent model (investment, M&A…).

Working with the 3 Shifts of SaaS

While each shift is independent in its own importance, they are also inter-related. E.g. an internal platform can allow a startup to co-create with a partner more effectively. Partners are always interested in differentiated leading-edge values such as what is possible with leveraging AI/ML. Magic is created when a startup leverages an internal platform, to co-create a strong AI-enabled value, in the overlap & gap with potential strategic partners.

And that’s what I see

I see a vibrant eco-system of SaaS startups in India working on creating leading global products. Vibrancy built on top of the basic product thinking skills and catapulted into a new orbit by navigating the 3 shifts.

“Reading market shifts isn’t easy. Neither is making mindset shifts. Startups are made or unmade on their bets on market/mindset shifts. Like stock market bubbles, shifts are fully clear only in hindsight. At iSPIRT, we are working to help entrepreneurs navigate the many overlapping yet critical shifts.” – Sharad Sharma, iSPIRT

Through our roundtables, we have selected six startups as the first running group cohort for our AI/ML for SaaS playbooks (Acebot, Artoo, FusionCharts, InstaSafe, LegalDesk & SignEasy).

If you are hungry and ready to explore these uncharted shifts, we are bringing these new playbooks tracks for you.

Please let us know your interest by filling out this form.

Also, if you are interested in volunteering for our playbook tracks, we can really use your support! There is a lot to be done to structure and build the playbook tracks and the upcoming SaaSx5 for these shifts for SaaS. Please use the same form to indicate your support.

Ending this note with a sense of beginning, I believe that our startups have a real opportunity to lead instead of fast-follow, create originals instead of clones. They need help to do this as a running group instead of a solo contestant. It is with this mission – bring our startups at par on the global arena – that I am excited to support the ProductNation.

I would like to acknowledge critical insights from Avlesh Singh (WebEngage), Manav Garg (Eka), Shekhar Kirani (Accel Partners), Sharad Sharma (iSPIRT). Also am thankful for the support from our mavens, volunteers & founders who helped with my research, set up the roundtables, and draft my perspective with active conversations on this topic: Ankit Singh (Wibmo/MyPoolin), Anukriti Chaudhari (iSPIRT), Arvi Krishnaswamy (GetCloudCherry), Ganesh Suryanarayanan (Tata GTIO), Deepa Bachu (Pensaar), Deepak Vincchi (JuliaComputing), Karthik KS (iSPIRT), Manish Singhal (Pi Ventures), Nishith Rastogi (Locus.sh), Pallav Nadhani (FusionCharts), Praveen Hari (iSPIRT), Rakesh Mondal (RakeshMondal.in), Ravindra Krishnappa (Acebot.ai), Sandeep Todi (Remitr), Shrikanth Jangannathan (PipeCandy), Sunil Rao (Lightspeed), Tathagat Varma (ChinaSoft), Titash Neogi (Seivelogic), and many other volunteers & founders.

All images are credited to Rakesh Mondal 

Are you ready to Jump with AI/ML? [Updated Session Dates]

[Update 6-Apr] New April Session Dates – Symposium RT is being scheduled on Saturdays for Bangalore & Chennai (21st & 28th April). 

Playbooks for Electrifying SaaS and more.

This is what we call the fourth industrial revolution…And companies are really transforming and bringing all these new technologies to connect with their customers in new ways.
Dreamforce 2017 Keynotes, Marc Benioff.

There is no doubt that Artificial Intelligence (AI), is one of the recent “tectonic” market shifts, creating a change in landscape, market, and opportunity. AI and  Machine Learning (ML), now in its eternal spring, has a deep impact on SaaS evolution. While the incumbent companies like Salesforce, Zendesk, Workday, have all invested heavily in AI, also global challengers across many verticals from Sales, BPM, CRM… to Security are focused on building higher order efficiencies and automation through AI/ML.

Over the last few years, our Indian SaaS entrepreneurs trumped the global SaaS growth by leveraging mobile first as there was no baggage of desktop, reduced sales & onboarding cost by perfecting the art of Inside Sales & Inbound Marketing, and efficient after sales support & service by leveraging remote success representatives. Our SaaS Mavens helped disseminate these leverages by sharing the best practices & modeling internal flywheels & experimentations. Many SaaS entrepreneurs successfully assimilated and got a significant boost in their growth journey. These levers are now basic table stakes for most SaaS startups.

AI has no breakthrough success stories, but it is helping create a level playing field – especially for our Indian entrepreneurs – to compete with global players and incumbents alikeStartups willing to make the jump, adapt AI into their products & business models to create meaningful differentiation, will experience a strong wind in their sails to leapfrog over the players who don’t.

Our entrepreneurs have a rare opportunity to be early adopters & global trailblazers. 

To take advantage of this our entrepreneurs ask very valid questions.

Q. Why & How should we entrepreneurs navigate this AI market shift? 
Q. How should we, given that we are untrained in AI, grapple with the 360° impact of AI on product, business, and technology?
Q. What AI leverage can we develop without requiring expensive investments for constrained resources? 

How do we enable our companies to create new AI playgrounds to analyze, surface, validate and develop higher order customer values & efficiencies?

AI Playbooks

Since adapting to the AI “tectonic” shift requires a new paradigm of thinking, we have launched a multi-step playbooks track focused on Playing with AI/ML for Indian entrepreneurs. In line with iSPIRT’s mission, our playbooks purpose is to help market players navigate market shifts. The goal is to bring the practitioner knowledge from AI Mavens AI-first entrepreneurs who are further ahead in their AI journey – to the AI-hungry startups and help them perfect the model of working with AI, get traction towards a meaningful AI-enhanced value, and become trailblazers for the community. If you are an AI-hungry startup who has either taken the plunge with AI/ML but early in your journey, or are actively looking to leverage AI/ML for your current products, then following the stepped approach below may help:

Step 1 – Attend an AI/ML Symposium RT – Getting prepared with Why AI and How AI. In our first kickoff session on 10-Mar, we had great discussions on AI data maturity, what can drive your AI approach, and more with our AI Mavens and ten startups (read more).

Step 2 – A cohort of startups from step 1 will be taken through multiple AI/ML Playbook RT for How AI – deep dives on topics to help with structuring an internal AI playground, competency with data product management, product positioning & branding, business model shifts, and more.
These playbook RTs will help the startups carve out a lean playground for rapid experimentation and analysis, with a 3-4 person team of a data PM, & engineers. The team, actively lead by the founder, runs regular sprints (business/product/engineering sprints) of experimentation and validation, and have review touchpoints at intervals with AI-Mavens and the cohort as a running group.
There is also an optional Tech Training Lab to build internal ML competency with a multi-day workshop with Julia experts.

Four startups have been initially selected for the cohort for the step 2 AI playbook RTs (Acebot, FusionCharts, InstaSafe & LegalDesk).

SaaSx5 – June 2018

We are working to set up the 5th version of our marquee SaaSx to engage with the larger SaaS startup community. We will definitely focus on the impact of AI/ML on SaaS and have workshops based on our momentum of the playbooks track on various topics above. Date & details to be announced shortly.

The AI+SaaS game has just begun and it is the right time for our hungry entrepreneurs to Aspire for the Gold, on a reasonable level playing field.

Click to Nominate or Register a startup for the AI/ML Playbooks Track.

Dates & Venue

AI/ML Symposium RT #1 – 10th Mar (Sat) 2p – 5p Done (read more)
AI/ML Symposium RT #2 – 21st Apr (Sat) 11a – 2p @ Bangalore TBD
AI/ML Symposium RT #3– 28th Apr (Sat) 10a – 1p @ Chennai TBD

May the force be with you!

* All iSPIRT playbooks are pro-bono, closed room, founder-level, invite-only sessions. The only thing we require is a strong commitment to attend all sessions completely, to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

Featured image modified from source: https://www.flickr.com/photos/jedimentat/7557276684

First AI/ML Playbook Roundtable – Playing With the New Electricity

This is a Guest post by Krupesh Bhat (LegalDesk) and Ujjwal Trivedi (Artoo).

AI is seen as the new electricity that will power the future. How do we make the best of the opportunity that advancements in AI technology brings about? With this thought in mind iSPIRT conducted a symposium roundtable at the Accel Partners premises in Bengaluru on March 10th. Accel’s Sattva room was a comfortable space for 20+ participants from 11 startups. There were deep discussions and a lot of learning happened through subject matter experts as well as peers discussion. Here’s a quick collection of some pearls, that some of us could pick, from the ocean of the deep discussions that happened there.

Products that do not use AI will die soon. Products that use AI without natural intelligence (read common sense) will die sooner.

– Manish Singhal, Pi Ventures

Starting with that pretext, it isn’t hard to gather that AI is not just a promising technology, it is going to be an integral part of our lives in near future. So, what does it mean for existing products? Should everyone start focusing on how they can use AI? Are you an AI-first company? If not, do you need to be one? After all, it does not make sense to build the tech just because it appears to be the next cool thing to do. If you are building AI, can you tell your value proposition without mentioning the word AI or ML? have you figured out your data strategy? Is the need driven by the market or the product?

Before we seek answers we must clarify that there are two types of products/startups in the AI world:

First, an AI-first startup – a startup which cannot exist without AI. Their solution and business model is completely dependent on use of Artificial intelligence (or Machine Learning at least). Some examples of such startups in local ecosystem are Artifacia and Locus.sh.

Second, AI-enabled startup – startups with existing products or new products which can leverage AI to enhance their offering by a significant amount (5x/10x anyone?). Manish has a very nifty way of showing the AI maturity of such companies.

The session was facilitated by several AI experts including Manish Singhal of pi Ventures, Nishith Rastogi of Locus.sh, Shrikanth Jagannathan of PipeCandy, Deepak Vincchi of Julia Computing.

Maturity Levels of AI Startups

After a brief introduction by Chintan to set the direction and general agenda for the afternoon, Manish took over and talked about the various stages of AI based companies. Based on his interactions with many startups in the space, he said there are roughly four growth stages where different companies fall into:

Level 1No Data, No AI: An entity that solves a business problem and is yet to collect sufficient data to build a sustainable AI business. The AI idea will die down if the company fails to move to state 2 quickly. Business may be capturing data but not storing it.
Level 2Dark data, No AI: The company holds data but is yet to build solid AI/ML capabilities to become an AI company. There is a huge upside for such companies but the data strategy needs to be developed and AI capabilities are not mature enough to be considered as an AI/ML company.
Level 3Higher automation driven by data and AI: These are the companies that have built AI to make sense out of data and provide valuable insights into the data using AI/ML, possibly with some kind of human assistance.
Level 4Fully autonomous AI companies: These are the companies at the matured stage where they possess AI products that can run autonomously with no human intervention.

Manish also noted that most companies they meet as a VC are in level 1 and 2, while the ideal level would be 3 and 4. He noted that AI comprises of three important components: Data, Algorithm & the Rest of the System that includes UI, API & other software to support the entire system. While it is important to work on all three components, oftentimes, the data part doesn’t get enough importance.

Do You Really Need Artificial Intelligence?

A whole bunch of solutions are smart because they are able to provide additional value based on past data. These are not AI solutions. They are merely rule based insights. Nishith from Locus added that there is nothing really wrong with rule based systems and in a lot of cases AI is actually an overkill. However, there are two cases where it seems apt for startups to look at AI for their predicament:

  1. Data is incomplete: An example of this is Locus who gets limited mapping for gps coordinates and addresses.
  2. Data is changing constantly: A typical case was of ShieldSquare where bots are continuously evolving and improving and the system deployed to identify them also needs to learn new patterns and evolve with them.

It is important to have clarity on your AI model especially when you communicate with your internal teams. Figure out what is the core component of your product – AI, ML, Deep Learning or Computer Vision.

What’s Driving Your AI Approach?

There are two major driving forces that can help one in deciding whether to AI or not to AI.

  1. PUSH: The internal force when decision can largely be taken if your business is sitting on a lot of useful data, may be as a side effect of your key proposition.
  2. PULL: The external market driven force where clients expect or ask for it e.g chatbots. We are already observing that AI can be a great pricing mechanism.

However, take great caution when using Customer data or Derived data, it depends on legal agreement with clients and can get you into legal troubles if it violates any terms.

Is Your Data Acquisition Strategy in Place?

Anyone interested in AI should have a data acquisition strategy in place. Here are a few points that can help you get one in place:

    • What data do you collect, How do you validate it, Clean it and store it for further analysis?
    • Surveys and chatbots can provide a steady stream of data if built correctly
    • Think of data as a separate entity (has its own lifecycle), it may help to think of it as a currency and plan how you would earn, store and utilise it
    • Capturing location, user interaction data can be insightful. This may include the interactions user has committed and the ones they have not committed (deleted/skipped/hidden)
    • It makes sense to invest time, resources and people to gather data properly
    • Have a unified warehouse (can start with economical options like Google Analytics and AWS)

It is also important to give some thoughts on how you are using aggregate data across the platform. In case, if your AI model uses a combination of customer specific data and the sanitised aggregate data available in the platform (“Derived Work”), then you should make sure that you have the permission to use such data. Without such clarity, you may run into legal issues.

Deepak Vincchi explained how Julia Computing is emerging as the programming language of choice for data scientists. The platform can process 1.3 million threads in parallel and is used by large organizations to crunch data problems.

In all this was an extremely engaging 3 hours without break. Guiding the session with real examples by Nishith, Shrikanth and also shared learnings from Navneet and others really helped bring to life Why AI and How AI. This symposium is part of an AI playbooks track was aimed at kickstarting cohorts of startups ready to jump with AI and help them get traction with AI, more will emerge on this shortly.

10 startups attended this mini-roundtable session – Acebot, Artifacia, Artoo, FusionCharts, InstaSafe, Klove, LegalDesk, Rocketium, Rubique, ShieldSquare.

Thanks to volunteers Rinka Singh and Adam Walker for their notes from the session and Ankit Singh (Mypoolin/Wibmo) for helping coordinate the blog post & note

* All iSPIRT playbooks are pro-bono, closed room, founder-level, invite-only sessions. The only thing we require is a strong commitment to attend all sessions completely, to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

Featured photo by Matan Segev from Pexels https://www.pexels.com/photo/action-android-device-electronics-595804/

Playing with the new Electricity – AI/ML Playbook Sessions [March Update]

[Update 29-Mar] New April Session Dates – Symposium RT is being scheduled for Bangalore & Chennai (21st & 28th April). 

“Tectonic” market shifts happen every few years creating a change in landscape, market and opportunity. The most recent “tectonic” shift is the emergence of the Artificial Intelligence era. In just the same way electrification in the early 1900s transformed major industries globally, AI, Machine Learning & Deep Learning are poised to transform a multitude of industries, services & products.

It took 100 years from the discovery of electrical generator to electrification of industries. AI is doing this in a span of 70 years (from the time of the Turing Test).

AI/ML has gone through many winters and is now in its eternal spring. It portents a new framework for startups to navigate and evolve from an internet era startup into an AI era startup.


Every new era shift begins with a lot of smoke and hype before it is well understood. iSPIRT ProductNation & Julia are launching a set of AI/ML playbook roundtable & workshop sessions to dispel the hype around AI, and help bring a pragmatic mindset & process change necessary for product startups to leverage AI/ML. We believe AI is not just a technology shift. It is a combination of product, business, and technology shift. Adapting to it requires a new paradigm of thinking to build a viable value strategy. This needs to be done mindfully and in context of the value you offer to the customer, do not rush in with the AI hype.

These multi-step playbooks are for all categories of startups regardless whether they are AI-First or SaaS, and MarTech, FinTech, HealthTech or any other <Domain>Tech category, startups who are looking to deliver a higher order value to their customers by leveraging and applying AI models with their data.

Since AI/ML is still in its early years there aren’t any proven success playbooks. Hence these deep sessions will bring together AI experts, AI Mavens (entrepreneurs who are more ahead in their AI journey), iSPIRT Mavens, and selected startups, to discuss & share their insights, challenges & learnings on the mindset shifts outlined above and best practices adopted. The 2-step playbook roundtable sessions focused on founders (+1 typically CXO) and a hands-on lab workshop are a sequence of:

    • AI/ML Symposium RT (step 1) – An invite-only 3 hour mini-symposium playbook with AI/ML experts, first mover AI leaders & Mavens from our startup community and 10-15 invited startups, focusing on Why AI/ML? What was the higher order value being created? How to identify the opportunities to leverage AI? What do you need to get started with AI (if not already running)? Data needs for AI/ML investments… The shared awareness created in this session, combined with the commitment by startups to articulate their AI/ML opportunity, and detail their approach will lead to the next AI/ML roundtable.
    • AI/ML Playbook RT (step 2) – Startups at similar AI readiness from the Symposium will be invited for a 5-hour deep-dive roundtable discussion on the AI/ML challenges in the context of the startup domain, effectively going through their AI/ML readiness & approach (a review & teardown). Topics would emerge from the Symposium RT and could cover data collection & modeling strategy, AI transformation algorithms, Business model innovation, Success metrics… This session is restricted to 5-6 startups (having similar AI needs) per roundtable and an AI Maven to facilitate the topics & discussion. Possible outcomes for each startup would be to develop an action plan/checklist for next few months of execution. Additionally, startups can identify a tiger tech team to go to the AI/ML Training Lab to get traction for their checklist…
    • AI/ML Training Lab with Julia Sandbox (optional) – A 3+ day workshop intended for the 3-4 person tiger tech teams (CTO, Engg, Data guy, PM…) from each startup. The workshop will help focus on building competency, getting traction & executing implementations related to the checklist developed at the roundtable.

For the first set of these playbooks, we are inviting nominations/applications for startup founders (+CXOs) who are either directly focusing on AI-based opportunity or have started integrating AI/ML as a core strategy for their product growth/success. Please provide your nomination for startups you believe should be part of the first series of the AI/ML playbooks. If you are a startup and interested to be part of this please register below. On final approval, an invite confirmation will be sent via email.

Please submit your nominations here. A registration link will be sent to your nominee.

Dates & Venue for the first of the series:

AI/ML Symposium RT #1 – 10th Mar (Sat) 2p – 5p Done
AI/ML Symposium RT #2 – 21st Apr (Sat) 11a – 2p @ Bangalore TBD
AI/ML Symposium RT #328th Apr (Sat) 10a – 1p @ Chennai TBD
AI/ML Playbook RTApr-TBD (Sat) 11a – 5pm @ Bangalore TBD
AI/ML Training Lab w/ JuliaApr-TBD @ TBD (Bangalore)

While the sessions are in Chennai/Bangalore, we believe this topic is of emergent interest to startups across the country and would invite all to register.

AI Mavens

Ashwin Ramasamy – PipeCandy
Manish Singhal – pi Ventures
Nishith Rastogi – Locus.sh
Shrikanth Jagannathan – PipeCandy

Cost

All iSPIRT roundtables are pro-bono (read below for how that works)

This series of playbooks is being setup by active support from our Mavens & Volunteers – Ankit Singh, Deepak Vinchhi, Karthik KS, Praveen Hari, Ravindra Krishnappa, Sandeep Todi.

P.S. Some great material for pre-reading

I strongly recommend all to go through many of these.

* All iSPIRT playbooks are pro-bono, closed room, founder-level, invite-only sessions. The only thing we require is a strong commitment to attend all sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

* The Julia team is on a social mission to train a large number of people in India to develop grassroot skills and competency with AI & ML.

+Feature image from https://www.flickr.com/photos/gleonhard/34046647175/

Deep Learning Session with Julia Computing

robot-2167836_640

An evening with Julia

iSPIRT, in association with Julia Computing, is proud to announce an open-session with Prof. Alan Edelman and Dr. Viral Shah, co-creators of Julia, an open source programming language, and co-founders of Julia Computing Inc.

The event will be hosted in Koramangala, Bangalore, on the 22nd of January 2018, from 5 – 7pm. Register now for an invite to the session or to join the live cast (venue details will be shared along with the invite).

What is Julia?

Julia is a modern, high-level, high-performance programming language for numerical computing, data science and AI. With syntax that is familiar to users of other technical computing environments, Julia solves the eternal two language problem, by providing productivity similar to Matlab or R, and performance similar to C for writing mathematical and statistical software. Julia is open source, its research is anchored at MIT since 2009 and is growing very rapidly in its adoption across industries, from Finance to Life Sciences.

Julia … can even be used by those who aren’t programmers by training

Why Should You Care?

Julia’s deep mathematical roots and comprehensive customizability make it very friendly to work with for data scientists, who are generally limited with popular Machine Learning approaches due to their issues with customizability and efficiency.

This 90 minute session will cover a quick introduction to Julia, showcase a few challenging and compute-intensive case studies that Julia has helped solve across domains, and demonstrate how Julia as a framework is used to enable nextgen AI & ML modeling & computing with the AI tools of your choice, including popular libraries like Mocha, MXNet and TensorFlow. This will be a great opportunity to interact with Prof Alan and Dr. Viral on best ways to approach an AI/ML strategy.

About the Speakers:

Prof. Alan Edelman is a Professor of Applied Mathematics, Computer Science and AI at MIT. He is a co-creator of Julia language, and a Co-founder and Chief Scientific Officer of Julia Computing, Inc.

Dr. Viral Shah is a co-creator of Julia language, and a Co-founder and CEO of of Julia Computing, Inc. He has been an important part of Aadhaar team from 2009 to 2014, and has co-authored a book called Rebooting India with Nandan Nilekani.

Julia Computing was founded in 2015 by the creators of the open source Julia language to develop products and provide support for businesses and researchers who use Julia.

Register now for an invite to the session or join the live cast.

Also, Workshop will be streamed on Youtube live for those who can join us virtually. The Invite will be shared on 21st Jan 2018 with the registered participants.

iSPIRT Product Roundtable in Ahmedabad

As the Very Merry Christmas holiday brings joy and wonder to the world, The year of 2017 comes to a close, ushering in a New Year with the promise of joy and prosperity for all. To begin the New Year on a promising note and help with growth, we are announcing a series of Product Roundtables for our startups.

Register Now!

Why are product teardowns important? For Product Validation & For Growth!

A constant struggle for validation and growth is a common theme for founders across startup stages, across early to late stage startups, regardless of focus on SaaS, B2B or B2C startup. A product teardown session, with our peers and practitioners, gives us an opportunity to visualize the value our products provide to solve our customers’ pain and also have a glimpse of how our customers discover our product proposition and connect with their needs.


The teardown model

In this playbook roundtable, we look at evaluating product-market fit and how to get your messaging right and building a website and signup/onboarding flow that converts with very little human intervention. This roundtable would begin with a deep dive into the product Idea, Discovery Process and navigate through the Landing Page and Signup flow, to deliver a “Wow” experience. The format of the playbook is built around quick 10 minute demos from a handful of startups, followed by peer-feedback from the participating founders on product validation and customer acquisition. Here’s a post of Product Teardown explained in 10 minutes (well almost!)

Register Now

If you are ready or know someone who would be interested in growing through this journey, please do register or help them to Register hereSince there are limited seats we would request you to kindly apply at the earliest. (An Invite confirmation will be sent shortly after registration.)

 
Stay tuned as more playbooks are coming your way in the coming months.

Is your SaaS product ready for GDPR?

What is GDPR you ask? and Why should you care?

Some of you may know about the upcoming rollout in EU of the General Data Protection Regulation. GDPR is a regulation that requires businesses to protect the personal data and privacy of EU citizens for transactions that occur within EU member states. GDPR implementation date is 25 May 2018, but do not get complacent by the date, it requires reasonable effort and time for companies to become ready & compliant. And there are significant penalties for not being compliant.

If you are operating in the EU or if any of your customers are operating in the EU, GDPR applies to you.

Who?

  • Customers in EU – YES
  • Employees in EU – YES
  • Vendors or partners in EU – YES

GDPR Workshop / Webinar

iSPIRT and Microsoft are conducting a GDPR workshop for founders to demystify the GDPR and help understand the steps required towards compliance. This will be a mix of in-person and webinar session (choose when you register).

The session will cover among many topics, clarity on the impact of GDPR, application to organizations in India, additional responsibility about controls, notifications and data governance for managing and tracking personal data, and how organizations need to start thinking about GDPR compliance. There will be presentations by both Legal teams from Microsoft India and the CTO of Microsoft Accelerator.

Apply here using the Registration Form

Date & time: 16-Nov, 3-5pm

In-person Venue: Microsoft Accelerator – JNR City Centre, IBIS Hotel Annexe ,Raja Ram Mohan Roy Road, Bangalore.

Webinar: Link will be sent to those who choose to attend the webinar.

Session Scope:

  • GDPR & Data Privacy, and its growing importance
  • A Risk assessment Checklist – Go to https://www.gdprbenchmark.com/ to access a quick, online self-evaluation tool available at no cost to help your organization review its overall level of readiness to comply with the GDPR
  • Data Privacy Business Scenarios – Technical Demos

Registration

If you are keen to attend the workshop please apply using the Registration Form. Since seats are limited for both in-person and webinar, please register ahead of time. We will confirm with an invite subject to availability. There is no cost to attend. We start sharp at 3 pm.

Strongly recommend going through the Risk Assessment Benchmark Evaluation.

The checklist will help you prep for the workshop and get the most out of it.

Some sources for pre-reading:

What is the GDPR, its requirements and deadlines? – CSO Online

GDPR in the age of SaaS: One SaaS vendor’s journey to compliance …

If You Use SaaS Products, You Need To Prepare For GDPR. Here’s How

Are you ready for the GDPR? A quick, no-cost, readiness self-evaluation tool.

The Global Impact of GDPR on SaaS Providers – Spanning Backup

Home Page of EU GDPR

Coming soon – 2017 SaaS Survey

BTW did you know the new SaaS survey is coming? We are excited to announce that we would be launching the third edition (2017) of the India SaaS Survey in a week from now. This survey is an annual exercise conducted jointly by SignalHill and iSPIRT to gather valuable data for drawing insights which help various stakeholders in the ecosystem understand this space better.

Please click on the following link to access last year’s survey results

Please stay tuned to this space. We will be providing a link to this year’s survey very soon in an upcoming blog post.

Product Teardown Roundtables are coming to your city.

Read more details on the teardown sessions, and preview the teardown format. If interested please apply here (Limited Seats).

Guiding the customer “Wow” journey from Discovery → Signup → Onboarding for SaaS Startups – Product teardown roundtables

This set of PlaybookRT will focus on “Guiding the customer journey from Discovery to Signup & Onboarding – for SaaS Startups“.  We start the new year, post Diwali, with a set of Product Teardown PlaybookRT. These teardowns are being planned for all our startup cities in quick succession (see schedule below). We will begin with a teardown RT in Chennai which will be facilitated by Suresh Sambandan (KiSSFLOW), Bharat Balasubramanian (FreshWorks).

Apply to get your slot here.

SaaS is awesome – you can build a real business with a small team sitting in India serving customers all over the world, turning in real profits and growing real fast. To get your SAAS revenue and growth engine running, you need to find a product fit with a good market, and ensure that your website and marketing convey the right message. With a few things like integrations, marketplaces and email marketing figured out, you can hit an awesome growth rate without having to spend tonnes of money on hiring an army of sales-people.
In this playbook, we look at how to get your messaging right, and building a website and signup/on-boarding flow that converts with very little human intervention. This roundtable would begin with a deep dive into the company’s Idea, Discovery Process and navigate through the Landing Page, Sign Up, and its “Wow” experience. The format of the playbook is built around quick 10 minute demos, followed by peer-feedback moderated by SAAS founders & experts who have already built successful SAAS businesses.

Registration and Pricing

If you are keen to attend this RoundTable, do let us know by filling in your details here. We will confirm your seat subject to availability. All RoundTables are conducted pro-bono. They only payment you have to make is to provide your undivided attention and active involvement in the process. Playbook-RoundTables are a dialogue and there’s no monologue. None!

Teardown Roundtable Schedule (tentative)

City Date Time Venue
Teardown RT in Chennai 4-Nov-2017 (Sat)  11am – 4pm  TBC
Teardown RT in Bangalore 11-Nov-2017 (Sat)  TBD
Teardown RT in Delhi 18-Nov-2017 (Sat)  TBD
Teardown RT in Hyderabad 25-Nov-2017 (Sat)  TBD
Teardown RT in Pune 2-Dec-2017 (Sat)  TBD
Teardown RT in Mumbai TBD


Notes

These are founder invite only events. Date, Time & Venue details will be sent along with the confirmation.

Playbook-RoundTable is one of the most sought after community events of iSPIRT. It’s a gathering of 12 like-minded product startups who are beyond the early stage. RoundTables are facilitated by an iSPIRT maven who is an accomplished practitioner of that Round-Table theme.

Customer Success: The secret ingredient behind hyper growth product companies

We’re adding more fire to the global Customer Success movement with the first CS meetup in India! The event will most likely comprise of two panel discussions, our panelists ranging from entrepreneurial stalwarts to early adopters of customer success. With discussions around how early start-ups think about Customer Success to stimulating Customer Success into product thinking, we plan to have some exciting conversations!

Join Sanjiv Singhal, CEO Scripbox, Tushar Vashist, CEO Healthifyme, Bharath Devanathan, CCO Belong.co and others in their journeys to Customer Success on 7th September.

We have a limited number of seats. RSVP here for an invite.

This event is hosted by enterprise workflow software, Zapty (San Francisco, Bangalore) and customer success platform, Strikedeck (based in Sunnyvale).

Smart tools for SaaS founders to handle inbound & outbound sales processes – #PlaybookRT94

When #iSPIRT announced a roundtable on ‘Building & Scaling Growth Teams for Saas Founders’  with Ashwin Ramesh (Synup) leading it, I was thrilled to join it, assuming it would be a direct take off from Ashwin’s session at #SaaSx4. Well, we were not disappointed. I am sure the other participants share my feelings on the outcome – It was an action-packed interactive session on the strategies one can use to be successful in SaaS.

Most fellow founders who joined the discussion chimed up with a common theme, with questions on how to get good inbound leads, how to scale up, crack the game, and most importantly – how to switch from outbound to inbound.

In this post, I want to provide a summary of all the tools that were discussed in the roundtable to help in content creation and distribution, and tools that will help you do outbound in a structured way. The sheer number of tools that we discussed was overwhelming to the group, to say the least.

WhatsApp Image 2017-05-05 at 10.36.03 AMContent is still King, so let’s lead with it.

Content: Good content is more important than the fact that it is a blog or a post or guest post. It could be anything that attracts folks, and gives your product or service the attention span needed. Some of the examples of good content that were discussed include websites,  checklists (e.g. http://localseochecklist.org/), videos, visualisations, infographics, data driven content, Quora ads, & Answers wiki.

If you need ideas on how to create great content, take a look at https://tympanus.net/codrops/

Now that you have the content, let’s shift the focus to distribution. The traditional models of distribution have become saturated. No one’s going to come just because you wrote and published something. So you need to come up with innovative ways to distribute content. Well written content, if it is not reaching the intended audience, is a dead investment and one has to have deliberate policy of setting aside a budget, even if it’s a small one, for distribution of each piece of content. You should try the following options:

  • Start contributing on reddit, and especially to a subreddit specific to your industry, business area or technology. The strategy suggested is to become active participants of a specific community, engage in discussions, post comments, contribute and build your credibility. The content you may share here would be actively promoted by other participants and also gets picked up other channels. The key is to build credibility and be supportive to other members.
  • Another idea is to sign up to https://inbound.org/ and once again be an active participant, and a slowly become a regular contributor. 
  • A third option is to use services like QUUU to distribute or share content across social media including Twitter , Facebook.
  • Investing in FB paid ads also has been found effective for many businesses.
  • If you feel that the above strategy is high on investment and low on initial results, start using article syndication services like Outbrain or Taboola to engage your target audience while they are browsing or reading interesting content on the web. 
  • A good way to use Taboola or Outbrain would be to use it with  Bombora, one of the best B2B intent engines. It gives you better options to identify / reach your B2B customers. There are integrations available for Bombora with Outbrain, and you need to decide on the budget. 
  • If you need to reach out to key influencers to help you share your content on a wider scale, use Buzzsumo to build the list and also get an idea about what your competition is sharing.
  • Once you have the list, use Buzzstream to manage the outreach that is desired. It helps manage the relationships and also monitor the content sharing. 
  • One related area which may be of benefit is to reach out to journalists using tools like Haro and Bite Size PR
  • If you have good content, you can choose to distribute the same through newsletters. Look for a curated list of newsletter sites or owners and get your content into these newsletters. It is an ongoing challenge for newsletter publishers to get good content for their readers, so reaching out to provide them content becomes a win-win proposition

Social media is a powerful medium for reaching out to a wider audience.  Tools that may be used for leveraging social media audience are:

  • Lead Sift ( twitter )  – This is used to keep track of potential customer who are engaged by  your competition . Helps in qualification of leads and setting up engagements faster 
  • EngageWise : To help present your content to a wider audience based on the interest they show in similar content. This helps in growing the pipeline using the reach of social media.
  • Lead Feeder :  Identifies the visitors to the website thereby qualifying the visitors and makes better / faster engagement possible. Offers and integration to CRM as well.
  • Ad Espresso :   One can create and test FB Ads in a very short time and run ad campaigns instead of single ads to effectively reach the different sections of audience thereby reducing cost and increasing efficacy of the ad.

Any website / online content strategy has to consider SEO.  Some of the tools that can be used for SEO include ( apart from the tools offered by Google ) 

  • Screaming Frog   – This can be used for in-depth technical analysis on your site .  It is a website crawler, works very fast & quickly allows one to analyse the results in real-time. 
  • All in one SEO  :   It can be used to optimize WordPress site for SEO. 

Another key element of growth involves reaching out to prospective customers. For that , email is still the most effective mechanism.  When it comes to using outbound emailing, getting good data ( email ids ) is equally important as the mail content and delivery strategy . 

For Creating the Data ( emails ) the options available are 

  • Scrape websites for data  
    • Screaming frog : The custom extraction feature allows you to scrape any data from the HTML of a web page using CSS Path, XPath and regex
    • Scrappy :  An open source and collaborative framework for extracting the data you need from websites, in a fast, simple, yet extensible way.
  • Some other common tools are 
    • Builtwith  :  One may get to see leads in your list by known technology spend, the usage or non-usage of competitor or other technologies as well as the usage or non-usage of entire categories of technologies like A/B Testing.
    • Limeleads : Access to a large repository of business leads across multiple verticals
    • Zoominfo : ZoomInfo’s Growth Acceleration Platform offers the most accurate and actionable B2B contact and company intelligence 
    • Buy data from publishers like D&B . This link is useful for Indian websites only.

Once you have the data , cleansing or cleaning up email list is the next key activity 

  • External agencies may be employed to clean up the email list. There are many service providers engaged in doing this for an acceptable consideration.

Once the email list has been curated, then you have to decide on the best way to engage the prospects or identify a delivery mechanism. There are many tools which support a structured approach to sending mails in a personalised manner, away from the mass mailers.

  • Klenty : This is an outbound sales automation tool for your inside sales team to prospect, outreach and follow up at scale. 
  • Prospect : A simple tool for sales automation. Works well for cold emailing and drip marketing. 
  • Quickmail : Another simple tool to automate outbound emails. 
  • Outreach  : Yet another platform that supports emailing and calling. 

Any inbound process revolves around the sales funnel. Organisations constantly look for increasing the conversation across all stages of the funnel or improve the funnel itself. Some of the recommendations that came out of the extensive discussion included usage of Google Analytics and other exclusive tools for understanding the user’s journey in your website and app through session recordings, heat map analysis, etc.  It would be good if cohorts are defined before initiating analysis so that patterns can be identified. 

  • Heap: Automatically captures every user action in your web or iOS app and lets you analyze it all retroactively.
  • MixPanel: Follow the digital footprint of every user across mobile and web devices. Know precisely what happens inside your product.
  • Inspectlet: Inspectlet records videos of your visitors as they use your site, allowing you to see everything they do.
  • Hotjar: Can be used to understand user behaviour as it visually represents their clicks, taps and scrolling behavior on your website.
  • Crazy Egg: Through Crazy Egg’s heat map and scroll map reports you can get an understanding of how your visitors engage with your website. 

Other tools that were mentioned include marketing automation tools and A/B testing / multivariate testing tools. One common suggestion which came up was to use best in class tools rather than using all in one kind of tools. A few examples of specific tools are mentioned below. Since all of them are well known, I don’t think it’s necessary to add a description of what they do.

Marketing Automation tools / Communication tools: 

A/B – MVT Tools 

A big thanks to Ashwin and the roundtable participants for listing these tools and sharing their experiences in using them.  I may have missed out one or two of the tools discussed. Look forward to your comments on these tools and also suggestion of other equally valuable tools for inbound / outbound processes.

WhatsApp Image 2017-04-29 at 7.01.02 PMDisclosure :  I am Neel Padmanabhan part of Team Lucep and head India Operations . Lucep is an instant response call back tool that is currently being used by several businesses around the world for handling inbound leads. The tool is designed to encourage visitors to the website to contact the sales team and get a response as quickly as possible.

Zero to One – Marketing and Inside Sales – SaaS

This playbook roundtable is meant for early stage SaaS product startups on inside sales and inbound marketing. This playbook will be facilitated by Sachin Bhatia (Ameyo/Inside Sales Box) & Ankit Oberoi(AdPushUp) and is scheduled for 15th April in Gurgaon. If you are interested, please apply send a mail to [email protected].
Roundtable Focus Areas
– The PlayBook Roundtable will focus on how Early stage SaaS startups can get their first 10 and then the first 100 customers.
– The founders will share their experience of the initial steps to be taken, key metrics to focus on and the team structure for inside sales and marketing.

First 10 Customers -> First 100 Customers is an important milestone for SaaS companies.
In this playbook we talk about early steps to focus on in Marketing and Sales from experience of

  1. AdPushup
  2. Inside Sales Box

We share actual Traffic / Conversion / Cost per lead etc from experience

Initial Teams, Hiring Experiences and Compensation plans and

key learnings in initial Lead generation and Sales efforts

Marketing

Team

When and How

Goals?

Website/Content

Goals

Review a few websites and discuss

View real metrics [Traffic / Conversion / Landing Page Conversions?]

To put pricing or Not?

Content – Blog / Ebooks

Activities / Channels
SEO [Keywords, On Page, Linking, External Links]

PPC [Sharing Real Benchmarks and Examples]

Social  – Linkedin / Twitter / Facebook as B2B Lead Gen Mediums

PR?

Others

We will also share Cost Per Lead etc from experience

Example of Successful / Unsuccessful Campaigns

Stack

Website

Lead Tracking

MIS (Share Template)

Sales

Team

Founder

When and How

Structure and compensation plans (Share Template)

Stack

Website Chat?

CRM

Phone

MIS (Share Template)

Playbooks is one of the key pillars of iSPIRT bouquet.

Playbook in iSPIRT denotes entrepreneurial learning meant for Indian software product startups to become world class and be successful.

Roundtable is a format of learning intended for startups that have reached a happy confused stage. In this format 8-12 non competing startups are brought together to discuss deeply on a topic that holds them from jumping to their next level.A facilitator, who is an in the saddle entrepreneur deep dives on the topic by becoming metaphorically naked and shares his experience and gets a peer discussion going on the topic.Coaching including peer coaching happens through multiple mode – judgement of the discussion (VC mode), sharing experience (Sage on Stage), being a mirror (Guide by the Side). Playbook Roundtable tend to be more of the last category of mirroring.

playbook-ispirtThink of this as group study for 7th class students in an age where there no school & teacher and one has to pass the 10th standard board exam. Some one who has done that leads the group study.

Playbooks have a longitudinal impact so they are tracked via an input metric.  At the end of every roundtable session a Net Promoter Score (NPS) is calculated via survey, the average NPS score of last 85 roundtable that were held is about +80. (iPhone as a product has an NPS of +71).

Roundtable was initially architected by Shankar Maruwada, Ashish Gupta, Vivek Subramanian & Aneesh Reddy. Some learnings from past roundtable are captured here

Key organizing principles behind creating playbook roundtables

  • In the saddle entrepreneurs are the best to teach upcoming ones. Age, company brand plays no role.
  • Quality > Quantity which means traditional format of 1 to 100 classroom style  and metric of footfall attendance should be questioned.
  • Safe environment are absolutely necessary to have deep discussion.
  • Curation is highly important, ie. have non competing participants and bring people together in similar stage of startup growth.
  • A facilitator and organizer checklist.

I have had the privilege to shadow about 40 of 85 roundtables that have happened in last 3 years. If I describe it as saying that gold dust of the tacit knowledge gets shared it won’t be an exaggeration. Chatham rules apply in a roundtable i.e. to protect the safe environment no quote is attributed to a person. However this deck those captures some of the discussed tacit knowledge as directives

A good mental model to decide which roundtables can be used from the market map

2-3-map-by-rajan

Check details at the events section in PN blog

Playbooks is more than roundtable

The initial focus of Roundtable was happy confused product startup founders a later realization was that playbooks will need to extend across the spectrum of entreprenuership lifecycle.

kindergarden   > discovery (1st to 7th std) > happy confused (7th std) > pre-scale (10th std) > pre-growth(pre college)

Playbooks Progression
Playbooks Progression

 

Some of these additional formats emerged

Playbooks sets down one of the most critical foundation layer for India to be product nation.

How AdPushup Uses Content Marketing To Power Growth #PlaybookRT

Close to about 15 founders gathered on 1st October at the small and cozy office of AdPushup to participate in a Playbook Roundtable on Content Marketing. This was Ankit’s first playbook with iSPIRT and he did a phenomenal job.

AdPushup is a SaaS company that helps web publishers increase their ad revenue by letting them test and optimize their website’s ad layout. Their expertise has been content marketing, and Ankit shared several details of their experience, learning and strategy which have helped AdPushup become a leader in content marketing in the AdTech software space.

Inbound is a Culture

Ankit stressed upon the fact that when starting in inbound practice, founders themselves need to get involved. Inbound is a long term game and requires a lot of patience and perseverance. By getting their hands dirty, founders understand the intricacies involved in inbound and thereby are build the right team and culture.

Buyer Persona

The first step in building your inbound strategy is to put together a buyer persona.  It is basically a description of your ideal customer – someone who will directly benefit from your product or service. Creating content around and for them is what will get you more traffic, engagement and a sustainable growth. You could identify buyer persona by:

  • Interviewing Prospects
  • Feedback from your sales team on the leads they’re interacting with most
  • Looking at your Top 10 customers

A typical buyer persona will consist of the following:

  • Job Role/Title
  • Job Skills
  • Performance KPI
  • Tools used
  • Goals
  • Challenges
  • Personal Demographics (if appropriate)
  • Recent purchase and the decision tree
  • Online communities/websites they use to consume content

A buyer persona will help you identify the kind of content and channels you need to focus on in your inbound strategy.

how-adpushup-uses-content-marketing-to-power-growth-playbookrtContent Creation

There are two types content that founders can focus based on their industry and product:

  • Relevant to business or industry ( informative)
  • Relevant to the Persona (targeted and actionable)

The tone of the content should be educational and non promotional. Create content only keeping in mind – “is this helping someone solve a problem?”. At AdPushup, their target audience is long form bloggers and large web publishers. They write content which either informs them or helps in dealing with a painpoint (e.g. blogging tips, how to get more subscribers, how to get more traffic, user psychology, increasing user engagement, among others).

Each content piece should be:

  • Thorough and meticulously researched
  • Up-to-date
  • Well designed

Content should have:

  • Scannable text – bullet points, sub-headings, short paragraphs, images. Remember bulk of readers do not read but scan the content.
  • Actionable Insights
  • Content Frameworks
  • Citations and sources

Content ideas mostly come from:

  • Keyword research
  • What topics your competitors are writing about
  • Evergreen content (guides, tutorials, how-tos, best-practices)
  • What the industry experts are tweeting, sharing on social media
  • Comments on blogs and from relevant communities
  • Round-up posts

Nail the headline of every post that you publish and you will have won 70% of the battle. If your headline doesn’t inspire confidence, interest, excitement or any sort of emotion then readers wont click on it. Then even though your content might be brilliant and relevant, it will just not get the importance it deserves.

Content Distribution

An important rule of thumb to remember is that whoever is the content creator – allocate 50% of time in creating content and the rest 50% in distributing it.

Some of the channels for content distribution include:

  • Relevant Subreddits
  • Google+
  • FB Groups
  • LinkedIn Groups
  • Pinterest
  • Hacker News
  • Forums
  • Influencer outreach
  • Syndicate/Guest Post
  • Article that will rank on SERP
  • Refurbish for Infographics, SlideShare, etc
  • Competitor URL outreach

When you join communities on social networks, regularly engage with their members. This helps when you have to share your content there and not come across as a spammer.

Reddit is infamous for being ruthless with spammers and self promoters. So the only way you come across as neither is by providing all the value right there in the community post and add a small link in the end which says something like – “to read the full post, here’s the link” (and provide the exact url, not bitly or any short links). Provide the entire outline right there. Anyone reading it should only click on your post when they know exactly what is in the content and they would still want to read it.

Whoever you mention in our post, product or person, make sure to send them or the relevant team members an email telling them about the mention and encourage them to share it on their social media. Most people do actually share if you ask them. Also, it helps if you are relatively well known and the content is really well written.

Look for guest posting opportunities because they are an effective way to make your presence in the industry. And guest post only on sites that are relevant to your audience, have a very high volume of traffic and well respected (e.g. HubSpot, KISSmetrics)

Generating Leads

Once you have created content and distributed, it is imperative you capture details of the readers. You could devise several ways to do that:

  • Opt-in Subscription Forms
  • Banners
  • Email courses via drip campaigns
  • HelloBar
  • Native mentions (with disclosures)
  • eBooks, reports and whitepapers

Make sure your email marketing is sorted out. Put pop-up email capture boxes (and similar lead capture forms/boxes) in your blog to encourage visitors to convert into subscribers. Once you have a decent number of subscribers (300+) and are pushing content out regularly, start rounding them up and email them to your subscribers in the form of a ‘weekly newsletter’.

Here is a screenshot of how AdPushup uses its content to capture user details.

adpushup-blog

Measurement and Analytics

Finally it is important to measure and analyze your inbound activities. As Ankit puts it, “Inbound is a continuous rinse and repeat process”. Few key metrics to track include:

  • The channels that are giving more traffic
  • Channels that are converting better
  • Type of content that gets more organic reach
  • Statements/Emotions in the headline that perform better (e.g. questions, negative statements, suspense, informative etc)
  • Reader Demographics
  • Best time to publish
  • Best channel to distribute for every topic

Once you have a sufficient success in measuring ROI – cut out what is not working and concentrate only on what is getting results. And always keep creating hypotheses and rigorously testing them. You never know what product or customer insight you might stumble across.

Guest Post by Rajat Harlalka, Bellurbis

Announcing #PNcamp2(8th Oct, Pune) – Not bigger, but definitely better

In late 2013, the iSPIRT volunteer team I was part of decided that the best way to approach pn-camp-logo (1)the problem we had on our hands was to simplify it. We wanted to bring together a group of product people who were ready to ask each other the tough questions. When they came out of the event we were putting together, we hoped they’d be changed, they they’d find answers, and in the process, new questions as well.

And that is how we decided on the bootcamp format, which was so well received that we were inundated with applications. It was a great event, and we wanted to replicate it again. But other things intervened, and PNCamp had to wait. Until now.

This time, we are doing it way better. And in the experience of other events, we have decided to keep it small. So the bootcamp becomes an actual run through a difficult trail. No one can lag behind or hide. Everyone has to run, everyone has to move.

So what will this PNCamp focus on?
These things:

1. Product Market Fit
2. Product Management Principles that actually make sense in the real world
3. Sales and Marketing things you can go and do, like right-away

With a smaller, curated audience to ensure peer- learning, to learn from other entrepreneurs challenges and solutions, and to encourage deep, interactive conversations, we are going to be having focused group round tables. There will be no PowerPoint, no monologues; just tips, insights and questions from doers like you for you to ruminate on.

Are you excited? We certainly are. We’ll have a lot of updates for you soon. Watch this space. Please apply before 15th September 2016. We will confirm your participation by 25th September 2016.