discovery-research-synthesis

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Turning research artifacts into actionable PM insight. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the decisions they are meant to inform. The discipline of moving from raw discovery data to clear product direction without losing signal in the synthesis or fabricating insight that was not actually there. Triggers on research synthesis, customer interview synthesis, user research analysis, discovery readout, research insights, sales call analysis, support ticket analysis, qualitative data analysis. Also triggers when a team has done research but cannot turn it into decisions, when synthesis is producing pretty decks but no roadmap movement, or when an upcoming PM decision needs to be grounded in research already conducted.

AI & Automation 476 stars 62 forks Updated 6 days ago MIT

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Skill Content

# Discovery Research Synthesis A senior PM's playbook for turning research artifacts into decisions. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the product direction they are meant to inform. Most discovery research never produces decisions. The team conducts interviews; the transcripts pile up; a researcher hands product the raw artifacts (data-dump) or builds a polished readout deck (insight-theater); the deck gets a 30-minute review meeting and is never referenced again. Two months later the team is making the same product decisions that the research was supposed to inform, with the same gut-feel inputs the research was supposed to displace. The discipline is in the synthesis. Synthesis is where research earns its keep: where transcripts become tagged observations, observations cluster into patterns, patterns get named, named patterns surface product implications, and implications drive specific decisions. Without that sequence, research is performance art. This skill covers one-off discovery research projects: a 12-week customer development sprint, a sales-call review for an onboarding redesign, a support-ticket audit informing a roadmap quarter. Different from `user-feedback-aggregation`, which covers ongoing feedback streams; different from `jtbd-framing`, which is a specific framing technique often applied within synthesis but narrower in scope. The voice is the senio...

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Author
rampstackco
Repository
rampstackco/claude-skills
Created
2 months ago
Last Updated
6 days ago
Language
Python
License
MIT

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