FYERS Academy did not proceed. But the experiment produced a Human + AI content-production capability that the Product team reused for explainer videos. Leading the work also changed how I think about innovation: freedom to explore needs a clear path through evidence, decisions, investment and ownership.

An experiment branches into a product concept, reusable capability, evidence and a deliberate decision about whether to proceed.
If you’ve already decoded the illustration, you know where this is going. Here’s how I got there.

Sometimes the right answer was not to build.

Becoming Chief Innovation Officer moved my work upstream. In the Innovation Lab, we investigated opportunities FYERS wasn’t yet certain it should pursue.

We received strategic questions rather than an agreed roadmap. The team turned them into hypotheses, researched them, challenged assumptions and looked for evidence to recommend pursuing an opportunity or walking away.

For much of my career, a product had been waiting at the end of the ambiguity. Here, that guarantee disappeared. Progress could mean eliminating an idea before it became expensive.

We wanted learning to change behaviour.

Financial education was one opportunity. The question wasn’t whether we could build courses. There was already plenty of content. We asked how people actually learn to make better financial decisions.

Knowing what a stop-loss is doesn’t mean using one when money is at stake. Understanding diversification doesn’t guarantee a diversified portfolio.

The work became FYERS Academy. Research developed into concepts, experience design, content structures and assessments. With AI-assisted development tools, the team built significant portions of the frontend.

Making the idea tangible helped us investigate it. It also brought the Lab closer to product delivery than its original research-and-recommendation mandate.

The capability travelled beyond Academy.

Educational products need substantial content. Having senior leadership record every lesson would consume executive time. I began questioning whether we could remove that repeated production constraint.

The team experimented with synthetic voice, generated visuals, video tools and automation. We developed a workflow capable of creating a realistic digital presenter, reducing the need for a senior leader to physically record each lesson.

The Product team began using the capability for product-explainer videos.

That was the concrete result beyond Academy: a Human + AI content-production workflow useful elsewhere in FYERS. The Product team didn’t need Academy to proceed in order to benefit from it.

The product stopped. The commitment questions arrived too late.

Academy had moved through research, product thinking, design, content systems and substantial frontend implementation. Completing it required deeper commitment from Product and Technology.

Leadership reconsidered whether confidence in the opportunity justified continued investment and decided not to proceed. I had a different view, but companies should be able to change direction as evidence, strategy and resource priorities change.

The question I took away was why confidence, investment and ownership had become decisive so late. An innovation team can investigate and prototype; it cannot create Product ownership, engineering capacity and executive commitment by itself.

Freedom to experiment needs a path to commitment.

This experience shaped the model I would use now. It wasn’t a framework that had governed Academy from the start.

How I would structure the decisions now
  1. HypothesisWhat do we believe might be true?
  2. EvidenceWhat would increase or decrease confidence?
  3. DecisionStop, investigate further, or pursue?Stop: retain the learning. Investigate: return to the hypothesis and evidence. Pursue: consider commitment.
  4. InvestmentWhat people, capital and capacity will we commit?
  5. OwnershipWho is accountable for turning it into a product or business?

Evidence doesn’t automatically justify investment. A promising opportunity can still be the wrong place to commit resources. Investment without ownership can leave a project everyone supports but nobody is accountable for delivering.

Academy gave us a product concept, evidence, experience with AI-assisted development and a reusable content capability. It also showed me what I would design differently next time: the path from experimentation to commitment.

The purpose of innovation isn’t to make every experiment succeed. It’s to make sure every serious experiment leaves the organisation with something useful: a product, a capability, evidence, or a better decision not to proceed.

Explore another capability built for reuse