What you will take away from the session
- Understand the gap between a good demo and a good product.
- Identify the adoption signals that are truly useful.
- Better frame the first feedback cycles.
- Avoid KPIs that reassure without guiding decisions.
What you leave with
- Adoption guidelines.
- Examples of feedback loops.
- Reusable product questions.
- Access to the replay.
Practical information
- Audience
- PMs, founders, designers, and innovation teams
- Registration
- Replay available on request
- City
- Rabat
- Language
- French
Agenda
Field feedback
What teams learn after the first releases.
Adoption signals
Which indicators track real usefulness, and which ones mislead.
Discussion
Questions and cases brought by participants.
Closing
Summary and resources to continue the work.
Speakers
Yassine El Idrissi
AI Product Lead
What this meetup highlighted
The best AI product initiatives are not the ones that impress the most at first, but the ones that create stable, understandable, and measurable usefulness over time.
Topics discussed
The discussion focused on useful signals, the feedback loop, and the trade-offs that come after the proof-of-concept phase.
Why the replay still matters
Even after the event, the topics covered remain relevant for any team that wants to better frame the release of an AI product.
Frequently asked questions
Is the replay accessible?
Yes, it is available on request.
Is the meetup only for PMs?
No, it is useful for anyone involved in product definition and adoption.
Will there be another edition?
Yes, a new session will be announced on the events page.
