AI Power Hour: Turn Customer Feedback Into a Decision

​Customer feedback is the most valuable data most teams aren’t using — because reading 200 NPS comments or 80 support tickets isn’t anybody’s idea of a Tuesday afternoon.

​This session shows you how to put AI to work on that exact job: cleaning the data, surfacing themes, ranking what matters, and producing a short, decision-ready summary.

​You’ll see the prompts that actually work for synthesis (and the ones that produce mush), and you’ll learn how to push back on the AI when its first answer feels too generic.

​By the end of the hour, you’ll have run a real synthesis on real data and have a repeatable workflow you can use weekly.

​Key takeaways/what you’ll learn:

• ​Prep messy qualitative data — CSVs, copy-pasted feedback, support tickets — into a format AI can actually reason over.

• ​Apply a repeatable synthesis prompt structure that produces themes, frequencies, and source-quoted evidence — not vague summaries.

• ​Hands-on build: turn a real feedback into a short, decision-ready report you can act on this week.

​Agenda

• ​5 - 5:30 p.m. - Registration

• ​5:30 - 6:30 p.m. - Session

• ​6:30 p.m. - Event Ends

​Light refreshments will be served.

​Who it’s for:

• ​Tech workers: Individuals currently working at a technology company or in a technology role.

• ​Founders: Individuals currently building and scaling a technology company.

​Next series dates:

​AI Power Hour: Prompts That Push Back
June 15, 2026  5:30 - 6:30 p.m.

​AI Power Hour: What’s an Agent and How Do I Build One?
June 22, 2026  5:30 - 6:30 p.m.