Ongoing Dialogue with Users to Guide Product Decisions
summary
Describes using in-app surveys plus calendar booking initially, which yielded few booked interviews when emailed at scale, and then switching to mining customer success calls, support emails, chatbot logs, and tickets for willing participants. Centralizes those signals in a tool called Harvester to tag and quantify requests, adds 1.5 hours weekly to triage and schedule, and achieves steady low-cost insights, repeatable beta testers (used for a ChatGPT integration), and prioritization based on measurable demand.
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chapters (10)
- 0:00Redocon design
- 2:06B2B user dialogue
- 7:02Direct outreach challenges
- 8:26Customer conversations
- 12:19Customer input in relationships
- 15:51Long-term client relationships
- 17:18Hidden customer insights
- 21:54Feedback into decisions
- 24:22Sustaining consistency
- 25:47Conclusion
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