I WAS recently invited to share the roadshow for my book Smarter with AI as a product launch case study during an event management training program. Preparing for the session allowed me to revisit what happened from our first launch in October 2025 through a series of learning events that continued until February this year.
When evaluating a product launch, the familiar measures naturally come to mind: attendance, costs, sales, leads, partnerships and participant feedback. Looking back several months later, however, made another kind of return easier to recognize.
What did I learn from those events?
I have always viewed a book launch as part of brand building rather than simply an exercise in selling books. By the time Smarter with AI was published, I was already being invited to speak about artificial intelligence. The book gave me a framework to consistently communicate my ideas. The roadshow gave me repeated opportunities to see how those ideas encountered different audiences.
The questions varied considerably because each audience encountered AI from a different starting point. When common concerns surfaced, they often involved data privacy, ownership of AI-assisted work, and how people could make what they produced genuinely their own.
Those conversations reinforced something I now emphasize in my sessions. Using AI well involves giving it relevant information and context, answering questions, refining instructions, and bringing one’s own thinking into the process. The goal is to create something useful for your circumstances rather than settle for a generic result.
Learning by watching the audience
My demonstrations also evolved as the roadshow progressed. I became better at showing how AI could analyze tables of business data and help answer practical questions. I also experimented with turning business requirements into working application prototypes.
The prototypes produced some of the strongest reactions, but I discovered that sequencing mattered. Showing application development too early could be overwhelming for participants still building confidence with AI. It became much more meaningful after they had seen simpler applications, generated useful work, and experienced how AI could help analyze information.
An evaluation form might have told me whether participants liked a demonstration. Watching different audiences helped me understand when and how it worked best.
That distinction matters for businesses organizing events. Feedback tells us what people are willing or able to articulate. Observation can reveal something else: where people become curious, where they hesitate, what surprises them, and which examples cause them to see a possibility differently.
Learning will not be the primary objective of every event. Events may be designed to sell, inform, train, celebrate or build relationships. But whenever a business brings customers, partners, employees or other stakeholders together, it also gains access to something valuable: direct interaction with the people it wants to understand.
Returns that appear later
Some event returns are relatively easy to count. Others emerge later as relationships, insights and improved capabilities.
At our first book launch, I reconnected with someone who had previously attended one of my leadership training programs. That renewed conversation eventually developed into a three-month consulting engagement involving leadership training and process improvement.
I could hardly have placed that particular outcome in the launch plan. The event created the conditions for an existing relationship to reconnect around a new conversation.
The consulting engagement was easy to recognize as a business outcome. Other returns were harder to quantify. Every audience gave me another opportunity to answer concerns, test explanations, and improve demonstrations. What I learned from one engagement influenced what I did in the next.
This is also why I continue to appreciate smaller gatherings. Large events can provide reach and visibility. A smaller room can make it easier to observe reactions, listen to individual concerns, and build deeper connections. They provide different forms of value, which is why attendance alone gives us an incomplete picture of an event’s success.
Turning interaction into organizational learning
There is an additional challenge for companies. I could personally carry lessons from one book event into the next because I was the author, presenter, and decision-maker. In an organization, the employee who hears an important customer question at an event may be different from the person responsible for marketing, product development, sales or strategy.
The insight therefore has to be captured.
A useful post-event discussion can go beyond asking how many people attended and whether they enjoyed themselves. What questions came up? What concerns appeared repeatedly? What surprised people? Which assumptions were challenged? What requests did we hear? What opportunities deserve follow-up? And who inside the organization needs to know?
The value comes from connecting those observations to what happens next.
An event can therefore become part of a larger cycle: interaction creates insight, insight is captured, and useful learning influences the next decision, product, service or engagement.
Knowing when to move on
By February, I decided against continuing the Smarter with AI roadshow. AI-related speaking engagements had become frequent, and dedicated book launch events had served their purpose.
That decision was also part of the learning.
A successful format does not have to continue indefinitely simply because it worked before. Different audiences bring different concerns, and circumstances change. The core ideas behind the book remained relevant, while the ways I communicated and demonstrated them continued to evolve through subsequent engagements.
I am now looking at those accumulated experiences again as I consider what should come next, whether that means updating Smarter with AI or eventually developing another body of work. In that sense, some of the return from those events is still unfolding.
Businesses will continue to measure events through attendance, sales, leads, satisfaction and other tangible indicators. They should. Financial and operational results matter.
But those measures capture only part of what can happen when an organization comes face to face with the people it serves.
An event can reconnect a relationship, expose an unmet need, challenge an assumption, improve a capability or reveal an opportunity nobody anticipated when the program was designed. Capturing those insights allows their value to travel beyond the people who happened to be in the room.
Perhaps every post-event report deserves one additional section:
What will we do differently?
Attendance tells us who showed up. Sales and leads tell us something about immediate commercial results. Satisfaction tells us how participants experienced the event. Learning tells us whether the organization itself came away better informed.
The audience should not be the only one that leaves an event having learned something.