A traditional innovation process can make teams wait too long to learn. Research ends, a brief changes hands, concepts move through reviews, and customer evidence arrives after important choices have already been made.
The useful question is whether the process allows new evidence to change the next decision while it still matters.
Build a learning cycle
I think about the work in five connected steps: sense, interpret, simulate, act and learn. They can help a team organize its questions without treating each stage as a gate that permanently closes behind it.
Sensing brings in relevant signals. Interpretation asks what they mean for a particular customer and business. Simulation can help explore assumptions and prepare a test. Action puts an idea into an appropriate real-world setting. Learning compares the result with what the team expected.
The distinctions matter. A synthetic audience can help challenge an assumption, but it does not establish how real customers will behave. A promising concept still needs the testing appropriate to the product and the decision.
What the available evidence shows
Board of Innovation’s Chiesi case reports a 115-fold increase in ideation throughput in a pilot. That result belongs to the ideation work; it is not a measure of drug-development speed or commercial launches.
For a leadership team, the case raises a practical question: if one part of the process becomes much faster, what needs to change around it? More ideas can help, but only if the team can evaluate them and choose the next useful test.
Keep judgment in the cycle
Define what evidence is needed at each decision. Make the assumptions visible and keep track of which ones have been tested. Give someone responsibility for acting on the result.
A faster cycle is valuable when it reduces uncertainty. It is less useful when it simply produces more work waiting for approval. Measure the time to a decision and the quality of the evidence alongside the volume of output.
What to do this week.
Follow one promising idea from its original signal to the most recent decision. Where did evidence arrive too late? Where did the work wait? Which review changed the direction, and which repeated a decision already made?
Choose one of those handoffs to improve. Agree on what the receiving team needs, how the result will be checked and when the next decision will happen.
From the portfolio
Board of Innovation works with enterprise teams on products, business models and the operating capabilities around them. Its Chiesi pilot is one example of changing a specific part of innovation work.
Where does a promising idea lose momentum between research and launch? Tell me where the handoffs slow down, and we can look at how BOI would approach that part of the work.
Where is your funnel waiting while the market keeps moving?
