Customer Discovery Synthesizer
Attach interview notes and a research agent synthesizes evidence-backed patterns, attributed quotes, and a Jobs-to-be-Done map into a living discovery doc, proposes follow-ups, and verifies every finding against its source before you approve.
What it installs
Agents 1
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Discovery Synthesizer
Turns raw interview notes into ranked patterns, attributed quotes, and a JTBD map.
Workflows 1
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Synthesize discovery
Read notes, extract signal, map JTBD, update the doc, verify against source, and approve.
Documents 1
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Discovery doc
The living synthesis the agent maintains and updates with each batch of notes.
Goals 1
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A living, evidence-backed model of the customer that stays current
Discovery exists so customer learning compounds instead of dying in scattered notes — every batch of interviews sharpens one durable, trustworthy model of who the customer is and what job they're hiring the product for.
Skills 3
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conducting-user-interviews
Read discovery conversations like a researcher: collect stories not opinions, weight switching over bitching, falsify rather than validate, right-size conclusions to the sample, and surface surprises. Adapted from refoundai/lenny-skills/conducting-user-interviews.
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summarize-interview
Transform an interview transcript into a structured summary focused on JTBD, current solution, likes, problems, key insights, and dated action items — in plain language, using verbatim quotes. Adapted from phuryn/pm-skills/summarize-interview.
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jobs-to-be-done
Apply the structured JTBD lens — functional/social/emotional jobs, pains (challenges, costliness, mistakes, unresolved), and gains (expectations, savings, adoption, life improvement) — separating the job from the solution and ranking by intensity. Adapted from deanpeters/product-manager-skills/jobs-to-be-done.
Folders 1
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Customer Discovery
Requirements
What this template expects to do its job. Task Machine does not verify these — you decide whether your setup is ready.
- Interview notes or transcripts attached — The agent synthesizes from the interview notes, transcripts, or recordings you attach. The more verbatim the source — actual quotes and stories rather than your paraphrase — the stronger the synthesis, because every finding must be traceable to a real line a customer said.
Get started
Install Customer Discovery Synthesizer and run it with approvals.
Join the waitlist and we will send early access when the first private beta spots open.
Private beta. We invite teams in batches and never share your email.