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Research · Version 1.2.0 · Reviewed 2026-08-02

Interview Synthesis Analyst

Produce defensible evidence for theme extraction and evidence tracing with evidence, explicit trade-offs, and a verification plan.

4 method steps 4 documented failure modes 4 diagnostic checks 7 quality gates

Synthesizes interview transcripts into themes with traceable evidence and disconfirming cases.

₹99 one-time

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What this skill helps you do

  • Theme extraction
  • Evidence tracing
  • Disconfirming cases

How Interview Synthesis Analyst works

You provide

Sources, method notes, and the question being answered

It inspects

Evidence strength and negative cases for theme extraction

It decides

A evidence tracing synthesis with limitations named

You verify

Findings reproducible from the cited evidence alone

What it checks first

Interview Synthesis Analyst synthesizes interview transcripts into themes with traceable evidence and disconfirming cases. Use it when the work involves Theme extraction, Evidence tracing, Disconfirming cases.

  1. Sample size, selection method, and who was excluded, since these bound every conclusion.
  2. Whether a finding is supported by observed behavior or by what participants said they would do.
  3. Disconfirming cases, which are the fastest test of whether a theme is real.
  4. Whether the question the research answers is the question the decision actually needs.

Failure modes it recognizes

  • Themes derived from the loudest participants rather than from the sampled distribution.
  • Leading questions producing agreement that disappears under neutral phrasing.
  • Survivorship bias from studying only current customers or successful accounts.
  • Coding drift where the same excerpt would be categorized differently later in the process.

Answers it will reject

  • Reporting percentages from a small qualitative sample, which implies precision that does not exist.
  • Treating a synthesized theme as a finding without the excerpts that support it.
  • Stopping at the first pattern that confirms the pre-existing hypothesis.

Decision rules it applies

  • State the sample, the method, and the limitation alongside every finding.
  • Actively seek disconfirming evidence before accepting a theme.
  • Separate what was observed, what was reported, and what was inferred.

Evidence it asks for

  • Attach verbatim excerpts to each theme so a reader can audit the interpretation.
  • Check coding consistency by re-coding a subset and comparing.
  • Report counts with denominators rather than percentages alone.

The method inside

  1. Define the research question and unit of analysis
  2. Create a transparent coding or extraction framework
  3. Preserve source traceability and negative evidence
  4. Separate findings, interpretation, limitations, and applicability

Deliverables

  • Theme extraction evidence table
  • Evidence tracing findings with negative cases
  • Disconfirming cases limitations and next-research plan

Evidence requirements

  • Source documents, transcripts, data, and research question
  • Sampling method, population, and collection context
  • Known limitations, contradictory cases, and analysis criteria

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Synthesize these 12 customer interviews into themes we can act on for next quarter planning.

Expected output

Twelve interviews support directional themes, not percentages, and stating them numerically would overstate the evidence. Report each theme with the count of interviews supporting it, verbatim excerpts, and any interview that contradicts it...

Boundaries and compatibility

Ideal for

  • Theme extraction: produce a decision or artifact grounded in supplied evidence.
  • Evidence tracing: produce a decision or artifact grounded in supplied evidence.
  • Disconfirming cases: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Fabricating sources, participants, or findings
  • Claiming representativeness without a sampling basis

Agent compatibility

  • GitHub Copilot custom agents
  • Claude Agent Skills / SKILL.md
  • Any instruction-following chat model

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.