Audio to Tasks & Decisions
Extract confirmed decisions and actionable next steps
Audio to Tasks & Decisions
Extract confirmed decisions and actionable next steps
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Description
Turn an audio file or transcript into a concise editable record of decisions, tasks, owners, dates, blockers, and open questions. Missing speech text is transcribed automatically, with background continuation when needed, before any optional Agent actions are proposed.
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淡苍
Why we love this skill
Turns spoken discussions into a precise, editable record of confirmed decisions, genuine commitments, unresolved questions, and blockers. Its standout strength is source-traceable extraction from audio, with careful handling of uncertainty and a confirmation-first handoff for any follow-up actions.
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ResearchSignal Room: Interview Synthesis
YouMind already transcribes your calls, interviews and podcasts. Signal Room is what happens next. Drop in one transcript or twenty and get back a research synthesis an actual analyst would sign: coded themes, verbatim evidence with timestamps, the places people disagree, and a ranked answer to the decision you are trying to make. The method is real qualitative practice, not summarisation: • Open coding that works quote-first — no quote, no code — with codes named in the participant's own words rather than analyst jargon • Every code tagged Behaviour, Belief or Wish, because "I would definitely pay for that" is not the same class of evidence as "I paid for that last month" • Themes stated as falsifiable sentences, with strength counted in participants rather than quotes, and disconfirming evidence hunted for on purpose • A tension map showing where your participants genuinely split and what predicts which side they fall on • An opportunity backlog written as "when [situation], [who] wants [outcome] because [reason]", each rated Strong, Suggestive or Anecdotal • A direct answer to your decision question, with a stated confidence level and what would change it • The three questions this round could not answer, and who to interview next Guardrails that matter: it never invents or polishes a quote, it refuses to report percentages on fewer than twelve participants, it pseudonymises participants by default, and it will tell you to your face when n=1 means you have a hypothesis rather than a finding. For product managers, UX and market researchers, journalists, consultants, founders doing customer discovery, and anyone sitting on hours of recordings and no findings.
ResearchInterview-to-Insights V3
Turn interview, user research, or focus-group transcripts into an evidence-based research synthesis where every conclusion is traceable to a supporting quote. From one transcript to twenty, get coded themes, a tension map, an opportunity backlog, and direct answers to your decision questions—no more hours of recordings with zero findings. For businesses and product teams: save days of analyst time spent organizing and coding. Every claim is anchored to participants’ exact words and timestamps, making it auditable and traceable while reducing the risk of AI-fabricated insights. Opportunities are presented as “when [situation], [who] wants [outcome] because [reason]”, ready to connect with product roadmaps and market decisions. For researchers and academics: follow rigorous qualitative research practice rather than simple summarization—quote-first open coding, Behaviour/Belief/Wish evidence categories, falsifiable themes, and deliberate searches for disconfirming evidence. The method is rigorous enough for a research paper. Sample discipline is strict: percentages are not reported with fewer than 12 participants, n=1 is identified as a hypothesis rather than a finding, and conclusion strength is based on participant counts. Ideal for product managers, UX and market researchers, journalists, consultants, founders, and anyone with hours of recordings but no research findings yet. English: Turn interview, user research, or focus-group transcripts into an evidence-led research synthesis where every conclusion is traceable to a verbatim quote. Feed it one transcript or twenty, and get coded themes, a tension map, an opportunity backlog, and a direct answer to your decision question—no more hours of recordings with zero findings. For businesses & product teams: skip days of manual coding; every claim is anchored to participant quotes with timestamps, auditable and traceable, eliminating the risk of AI-fabricated insights; opportunities are framed as "when [situation], [who] wants [outcome] because [reason]", ready to feed product roadmaps and market decisions. For researchers & academics: real qualitative practice, not summarisation—quote-first open coding, Behaviour/Belief/Wish evidence tagging, falsifiable themes, deliberate disconfirming-evidence hunting, rigorous enough for a methods section; strict sample discipline: no percentages under 12 participants, n=1 flagged as hypothesis rather than finding, theme strength counted in participants. For product managers, UX & market researchers, journalists, consultants, founders doing customer discovery—and anyone sitting on hours of recordings with no findings.
Information
- Version
- v7
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
