Synthetic User Interview
Purpose
This skill simulates discovery interviews with generated personas. It is calibration, not research. Use it to sharpen your thinking before talking to real people, to catch bad questions before you ask them in a real call, or to explore segments you cannot reach in time.
The skill is designed to fail loud: every output ends with explicit warnings about what it can and cannot replace.
When to use
- You have a hypothesis and want to pressure-test it before scheduling real interviews
- Your interview guide needs a rehearsal and you want to catch leading questions
- Target segment is small, busy, or expensive to reach (CTOs, regulated industries)
- Strategic exploration of a buyer you don't yet have access to
When NOT to use
- For shipping decisions. Never ship based on synthetic interviews alone.
- As a substitute for ongoing customer development
- For sensitive segments where lived experience is the whole point (e.g. medical patients, marginalized groups). The model will produce plausible-sounding nonsense.
- For quantitative claims ("47% of CTOs say..."). The output is qualitative simulation, not a survey.
Inputs
Required:
- ICP description (industry, role, company stage, key context)
- Hypothesis or question to probe
Optional:
- Geography or regulatory context
- Specific user behaviors you want to explore
- Interview style (open-ended JTBD vs targeted feature feedback)
Process
Phase 1: Persona calibration
Generate 3-5 personas, each with:
- Name, role, company context (size, stage, industry)
- Current tools and workflow
- Top 3 pressures and goals this quarter
- Constraints (budget, time, political)
- Sources used to inform the persona (general industry knowledge, prior research, etc.)
Personas should differ meaningfully. Two personas that are basically the same with different names are wasted.
Phase 2: Build the interview script
- 5-8 open-ended questions following The Mom Test principles
- No leading questions, no pitching, focus on past behavior
- Mix: context, current workflow, pain points, attempted solutions, deal-killers
- Adjustable per persona based on their context
Phase 3: Run the interviews
For each persona, simulate a transcript:
- 8-12 question-answer pairs
- Realistic voice (interrupted, tangential, sometimes contradictory)
- Include details the persona would naturally bring up
- Mark explicitly where a real human would likely push back or refuse to answer
Phase 4: Cross-cut analysis
After all transcripts:
- Patterns: themes that appeared in 2+ interviews
- Contradictions: where personas disagreed and why
- Surprises: things you (the PM) probably didn't expect
- Hypothesis verdict: weakly supported / mixed / contradicted (with reasoning)
- Better questions for real interviews: what should you actually ask
Phase 5: Calibration warnings
Mandatory closing section:
- What this simulation likely got right (areas where public knowledge is strong)
- What it likely got wrong (anything requiring lived experience, current pricing, internal politics)
- What you should still go ask real users about
- Specific red flags: any persona answer that felt suspiciously articulate or "marketing-ready"
Output
# Synthetic Interview Report: [Hypothesis]
## Personas (3-5)
## Interview script
## Transcripts
## Cross-cut analysis
## Hypothesis verdict
## Calibration warnings - READ BEFORE ACTING
Common failure modes to avoid
- Persona = mouthpiece: the persona just agrees with the PM's hypothesis. Force at least one persona to be skeptical or hostile.
- Articulate user trap: real users are messy, hesitant, and contradictory. If transcripts sound like a TED talk, they're broken.
- Treating output as data: synthetic interviews never count as evidence in a PRD. Use them to sharpen real research, not replace it.
- Skipping calibration warnings: the warnings are the most useful part. Never omit them.
Why this skill exists
Synthetic interviews are controversial. The honest framing: they're useful for thinking, dangerous for deciding. This skill is structured to keep that line visible.
1---2name: synthetic-user-interview3description: Generate calibrated synthetic personas and run simulated discovery interviews to pressure-test a hypothesis before talking to real users. Use when warming up before real research, sanity-checking a problem statement, exploring low-volume or hard-to-reach segments, or stress-testing assumptions about a buyer. Triggers on phrases like "simulate user interview", "synthetic interview", "fake user research", "pretend to be my target customer", "interview a persona about X", "what would a [role] say about", "проинтервьюируй персону".4---56# Synthetic User Interview78## Purpose910This skill simulates discovery interviews with generated personas. It is **calibration**, not research. Use it to sharpen your thinking before talking to real people, to catch bad questions before you ask them in a real call, or to explore segments you cannot reach in time.1112The skill is designed to fail loud: every output ends with explicit warnings about what it can and cannot replace.1314## When to use1516- You have a hypothesis and want to pressure-test it before scheduling real interviews17- Your interview guide needs a rehearsal and you want to catch leading questions18- Target segment is small, busy, or expensive to reach (CTOs, regulated industries)19- Strategic exploration of a buyer you don't yet have access to2021## When NOT to use2223- For shipping decisions. Never ship based on synthetic interviews alone.24- As a substitute for ongoing customer development25- For sensitive segments where lived experience is the whole point (e.g. medical patients, marginalized groups). The model will produce plausible-sounding nonsense.26- For quantitative claims ("47% of CTOs say..."). The output is qualitative simulation, not a survey.2728## Inputs2930Required:31- ICP description (industry, role, company stage, key context)32- Hypothesis or question to probe3334Optional:35- Geography or regulatory context36- Specific user behaviors you want to explore37- Interview style (open-ended JTBD vs targeted feature feedback)3839## Process4041### Phase 1: Persona calibration4243Generate 3-5 personas, each with:44- Name, role, company context (size, stage, industry)45- Current tools and workflow46- Top 3 pressures and goals this quarter47- Constraints (budget, time, political)48- Sources used to inform the persona (general industry knowledge, prior research, etc.)4950Personas should differ meaningfully. Two personas that are basically the same with different names are wasted.5152### Phase 2: Build the interview script5354- 5-8 open-ended questions following The Mom Test principles55- No leading questions, no pitching, focus on past behavior56- Mix: context, current workflow, pain points, attempted solutions, deal-killers57- Adjustable per persona based on their context5859### Phase 3: Run the interviews6061For each persona, simulate a transcript:62- 8-12 question-answer pairs63- Realistic voice (interrupted, tangential, sometimes contradictory)64- Include details the persona would naturally bring up65- Mark explicitly where a real human would likely push back or refuse to answer6667### Phase 4: Cross-cut analysis6869After all transcripts:70- **Patterns**: themes that appeared in 2+ interviews71- **Contradictions**: where personas disagreed and why72- **Surprises**: things you (the PM) probably didn't expect73- **Hypothesis verdict**: weakly supported / mixed / contradicted (with reasoning)74- **Better questions for real interviews**: what should you actually ask7576### Phase 5: Calibration warnings7778Mandatory closing section:79- What this simulation likely got right (areas where public knowledge is strong)80- What it likely got wrong (anything requiring lived experience, current pricing, internal politics)81- What you should still go ask real users about82- Specific red flags: any persona answer that felt suspiciously articulate or "marketing-ready"8384## Output8586```87# Synthetic Interview Report: [Hypothesis]8889## Personas (3-5)90## Interview script91## Transcripts92## Cross-cut analysis93## Hypothesis verdict94## Calibration warnings - READ BEFORE ACTING95```9697## Common failure modes to avoid9899- **Persona = mouthpiece**: the persona just agrees with the PM's hypothesis. Force at least one persona to be skeptical or hostile.100- **Articulate user trap**: real users are messy, hesitant, and contradictory. If transcripts sound like a TED talk, they're broken.101- **Treating output as data**: synthetic interviews never count as evidence in a PRD. Use them to sharpen real research, not replace it.102- **Skipping calibration warnings**: the warnings are the most useful part. Never omit them.103104## Why this skill exists105106Synthetic interviews are controversial. The honest framing: they're useful for thinking, dangerous for deciding. This skill is structured to keep that line visible.