interview-signal-synthesis
Turn raw interview transcripts into organized research insights and actionable findings.
Install
mkdir -p .claude/skills/interview-signal-synthesis && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/11167" && unzip -o skill.zip -d .claude/skills/interview-signal-synthesis && rm skill.zipInstalls to .claude/skills/interview-signal-synthesis
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Synthesize interviews into themes, contradictions, opportunities, and product implications.Key capabilities
- →Synthesize interview transcripts into themes
- →Extract actionable product implications
- →Flag low-confidence signals
- →Categorize findings into pain points and feature requests
How it works
The skill processes raw interview data by identifying recurring themes, extracting verbatim quotes from at least three participants, and drafting product implications.
Inputs & outputs
When to use interview-signal-synthesis
- →Synthesize research interview notes
- →Extract product pain points
- →Identify user themes from transcripts
- →Formulate research recommendations
About this skill
Interview Signal Synthesis
Transform raw interview transcripts into a structured synthesis document that surfaces themes, pain points, and actionable insights.
Required Inputs
Ask the user for these if not provided:
- Interview transcripts or notes (even rough notes work)
- Number of participants and their profiles (role, company size, context)
- Research questions (what was the study trying to answer?)
- Date range of research (for context)
Process
- Read all provided transcripts fully before drawing conclusions
- Identify recurring themes (minimum 3 mentions to qualify as a theme)
- Categorize findings into: Pain Points, Workflow Insights, Feature Requests, Delight Moments
- Select 2-3 verbatim quotes per theme that best represent the pattern
- Draft "So What" implications for each theme - what does this mean for the product?
- Validate - Confirm every theme has quotes from at least 3 participants. Flag any insight resting on fewer as low-confidence.
Output Structure
Research Synthesis: [Study Name]
Participants: [n] Date Range: [dates] Research Questions: [list]
Theme 1: [Theme Name]
- Summary (2-3 sentences)
- Supporting quotes (from at least 3 participants)
- Implication for product
[Repeat for each theme]
Low-Confidence Signals (1-2 participants only)
[Findings worth tracking but not acting on yet - note what further research would confirm or deny]
Recommended Next Steps
[Specific, actionable recommendations based on findings]
Quality Checks
- Every theme is supported by quotes from at least 3 participants
- Implications connect to specific product decisions, not just observations
- Researcher bias check: no leading language, findings don't all support one hypothesis
- Single-source signals are flagged separately, not mixed into main themes
- Research questions from the study brief are each addressed (even if the answer is "inconclusive")
When not to use it
- →When research questions are not defined
- →When transcripts are missing
Limitations
- →Themes with fewer than 3 mentions are flagged as low-confidence
- →Requires structured input to generate actionable insights
How it compares
Unlike manual synthesis, this skill enforces a strict validation rule requiring three-participant support for themes to ensure confidence.
Compared to similar skills
interview-signal-synthesis side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| interview-signal-synthesis (this skill) | 0 | 2mo | No flags | Beginner |
| ux-researcher-designer | 11 | 7mo | Review | Beginner |
| signup-flow-cro | 2 | 6mo | No flags | Intermediate |
| page-cro | 0 | 4mo | No flags | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
You might also like
ux-researcher-designer
davila7
UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.
signup-flow-cro
davila7
When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," or "account creation flow." For post-signup onboarding, see onboarding-cro. For lead capture forms (not account creation), see form-cro.
page-cro
foolhardy45
Analyze and optimize individual pages for conversion performance.
onboarding-cro
TedTschopp
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," or "new user experie
cro-methodology
christophacham
Audit websites and landing pages for conversion issues and design evidence-based A/B tests. Use when the user mentions "landing page isn''t converting", "conversion rate", "A/B test", "why visitors leave", or "objection handling". Covers funnel mapping, persuasion assets, and objection/counter-objec
literature-review
K-Dense-AI
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).