Agent skill

Customer Interview Script

by borghei in borghei/Claude-Skills

Run high-signal customer discovery interviews using a scripted question hierarchy, behavior-over-opinion probes, and rapport techniques drawn from Portigal, Torres, Fitzpatrick (Mom Test), and Lewis…

MITAuto-check passedProduct & Project Management

Install Customer Interview Script

skills CLI
$ npx skills add borghei/Claude-Skills --skill customer-interview-script -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install borghei/Claude-Skills customer-interview-script --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/project-management/discovery/customer-interview-script .claude/skills/customer-interview-script && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
customer-interview-script
GitHub stars
874
Token cost
~1.7k tokens
SKILL.md length
711 words
Files
7 (incl. references, assets)
Skills in repo
364
Repo updated
First seen
Licence
MIT

At a glance

Run high-signal customer discovery interviews using a scripted question hierarchy, behavior-over-opinion probes, and rapport techniques drawn from Portigal, Torres, Fitzpatrick (Mom Test), and Lewis…

  • Works in 3 steps: Pull top assumptions from… → Customize… → Run the 5-phase script (rapport first,…
  • Tasks that involve User research
  • SKILL.md covers Overview, Core Capabilities, When to Use and Clarify First, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Customer Interview Script is an agent skill from borghei/Claude-Skills. Run high-signal customer discovery interviews using a scripted question hierarchy, behavior-over-opinion probes, and rapport techniques drawn from Portigal, Torres, Fitzpatrick (Mom Test), and Lewis Lin.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files and assets (for example `assets/interview_script_template.md`, `assets/question_bank.md` and `examples/churn-investigation-filled-script.md`).

It sits in Product & Project Management, covering User research. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

  • Tasks that involve User research

Example prompts

  • “/customer-interview-script”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Pull top assumptions from discovery/identify-assumptions/; write 2-3 must-answer questions and pick the interview type.
  2. Customize assets/interview_script_template.md and pull type-specific prompts from assets/question_bank.md.
  3. Run the 5-phase script (rapport first, stories in the middle, contradictions at the end); debrief within 30 minutes; hand the transcript…

What it can do on your machine

Read from SKILL.md and the folder at commit c9a1487. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Customer Interview Script loads about 1.7k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 711 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit c9a1487, republished under its MIT licence (© borghei). 711 words, ~1,671 tokens.

Download SKILL.mdSave it as .claude/skills/customer-interview-script/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
customer-interview-script
description
Run high-signal customer discovery interviews using a scripted question hierarchy, behavior-over-opinion probes, and rapport techniques drawn from Portigal, Torres, Fitzpatrick (Mom Test), and Lewis Lin.
license
MIT + Commons Clause
metadata.version
1.0.1
metadata.author
borghei
metadata.category
project-management
metadata.domain
pm-discovery
metadata.updated
2026-06-15
metadata.tech-stack
customer-interviews, discovery, jobs-to-be-done, mom-test

Customer Interview Script Expert

Overview

Running a customer interview is harder than it looks. The difference between a 60-minute conversation that produces three actionable insights and one that produces zero is almost entirely method: what you ask, when you ask it, and what you do not ask. This skill is the live-interview companion to discovery/interview-synthesis/ (post-interview analysis) and discovery/identify-assumptions/ (which produces the questions you go in to test).

The script structure draws from four canonical sources: Steve Portigal's Interviewing Users (rapport, listening, "tell me about the last time"), Teresa Torres' Continuous Discovery Habits (story-based probing, weekly cadence), Rob Fitzpatrick's The Mom Test (avoiding compliments, opinions, and futures), and Lewis Lin's behavioral interviewing patterns (concrete-recent-relevant). The goal is to leave each interview with at least one story, one contradiction, and one surprise.

Core Capabilities

  • 5-phase script -- opening/consent, context, story collection (the meat), probing/synthesis, closing -- timed for 45/60/90-minute slots.
  • Story-based probing -- the story funnel and 5-Whys turn opinions into concrete-recent-relevant evidence.
  • Mom Test discipline -- bad-question to good-question conversions that strip out compliments, fluff, and feature pitches.
  • Question banks by type -- problem discovery, solution validation, journey mapping, churn/win-loss.
  • Interview craft -- rapport rules, silence handling, pacing, pair-interviewing roles, recording/consent/storage.

When to Use

  • Problem discovery -- test whether a customer pain is real, who has it, and how acute it is.
  • Solution validation -- get feedback on a wireframe/prototype grounded in past behavior, not hypotheticals.
  • Journey research -- understand the end-to-end flow of how a customer does a job today (tools, workarounds, handoffs).
  • Churn or win/loss -- understand why customers left, stayed, or chose a competitor.
  • Continuous discovery cadence -- weekly customer touchpoints to keep the team grounded in evidence.

Clarify First

Before building the interview script, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Interview type — problem discovery / solution validation / journey / churn-win-loss (selects the question bank and phase emphasis)
  • Must-answer questions — the 2-3 assumptions you go in to test (drives the custom story-collection prompts)
  • Time slot — 45 / 60 / 90 minutes (sets the per-phase timing)
  • Participant recency — how recently they did the job (story-based probing degrades past ~90 days, which weakens the script's core)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

  1. Pull top assumptions from discovery/identify-assumptions/; write 2-3 must-answer questions and pick the interview type.
  2. Customize assets/interview_script_template.md and pull type-specific prompts from assets/question_bank.md.
  3. Run the 5-phase script (rapport first, stories in the middle, contradictions at the end); debrief within 30 minutes; hand the transcript to discovery/interview-synthesis/.

See references/interview-execution-playbook.md for the full method, scripts, question banks, pacing, and troubleshooting.

Show full SKILL.md (271 more words)Show less

References

  • references/interview-execution-playbook.md -- read this before running an interview: the four-source frameworks, the verbatim 5-phase script, question banks by type, what-not-to-ask table, pacing, pair-interviewing roles, recording/consent, silence handling, workflow, troubleshooting, and success criteria.
  • references/interviewing-methodology-guide.md -- read this for the deep method with worked examples (Portigal, Torres, Fitzpatrick, Lin).
  • references/red-flags.md -- read this when auditing a transcript or technique for biasing anti-patterns before trusting the findings.
  • assets/interview_script_template.md -- ready-to-customize 5-phase interview script.
  • assets/question_bank.md -- question bank organized by interview type (problem / solution / journey / churn).

Scope & Limitations

In scope: live discovery interview script structure and pacing; question banks (problem / solution / journey / churn); rapport, listening, and silence techniques; recording consent and retention policy; pair-interviewing role definitions.

Out of scope: interview synthesis and theme clustering (discovery/interview-synthesis/); assumption mapping before interviews (discovery/identify-assumptions/); survey design and quantitative research; usability testing protocols (task-based, not story-based); recruiting operations (panel sourcing, screening, incentives).

Caveats: this skill produces interview technique, not research operations. Story-based interviewing is bounded by participant memory -- events older than 90 days are reconstructions. B2B enterprise interviews often need procurement-style approval; build 2-4 weeks into recruiting. Continuous discovery assumes weekly touchpoints; one-off rounds produce shallower evidence -- weight findings accordingly.

Integration Points

IntegrationDirectionWhat Flows
discovery/identify-assumptions/Receives fromTop assumptions become the must-answer questions for each interview
discovery/interview-synthesis/Feeds intoTranscripts and debrief notes are the input for theme clustering
discovery/brainstorm-ideas/BidirectionalPre-interview hypotheses; post-interview ideas seeded by themes
discovery/brainstorm-experiments/Feeds intoValidated pains become experiment hypotheses
discovery/jtbd-workshop/ComplementarySwitch interviews use this script structure as their foundation
discovery/value-proposition-canvas/Feeds intoJobs, pains, and gains captured in stories populate the Customer Profile
execution/create-prd/Feeds intoDirect quotes strengthen PRD Background and Market Segments

© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references, assets) in project-management/discovery/customer-interview-script of borghei/Claude-Skills.

  • SKILL.md
  • assets/interview_script_template.md
  • assets/question_bank.md
  • examples/churn-investigation-filled-script.md
  • references/interview-execution-playbook.md
  • references/interviewing-methodology-guide.md
  • references/red-flags.md

Open the folder on GitHubat commit c9a1487

Compare with similar skills

Customer Interview Script next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Customer Interview Script compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Customer Interview Script this skillborghei/Claude-Skills874—~1.7kAutomated safety check: PassMIT
User Research Cookiycookiy-ai/user-research-skill1.6k—~954Automated safety check: PassMIT
Fable DomainSahir619/fable-method2.3k—~2.6kAutomated safety check: PassMIT
Produck Feedback To Buildtryproduck/produck-skills511—~1kAutomated safety check: PassApache-2.0
MITRE Problem Framing Canvasdeanpeters/Product-Manager-Skills7.2k2 repos~4.5kAutomated safety check: PassCustom licence
Customer InterviewsRefoundAI/lenny-skills1.4k—~1.7kAutomated safety check: PassMIT

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Questions about Customer Interview Script

What does Customer Interview Script do?

Run high-signal customer discovery interviews using a scripted question hierarchy, behavior-over-opinion probes, and rapport techniques drawn from Portigal, Torres, Fitzpatrick (Mom Test), and Lewis…. Customer Interview Script is an agent skill from borghei/Claude-Skills. Run high-signal customer discovery interviews using a scripted question hierarchy, behavior-over-opinion probes, and rapport techniques drawn from Portigal, Torres, Fitzpatrick (Mom Test), and Lewis Lin.

When should I use Customer Interview Script?

Customer Interview Script fits situations like: tasks that involve User research.

How do I install Customer Interview Script in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill customer-interview-script -a claude-code`. Or copy the skill folder (project-management/discovery/customer-interview-script in borghei/Claude-Skills) into .claude/skills/customer-interview-script in your project. Claude Code loads it when a task matches its description.

How do I install Customer Interview Script in Codex?

Run `npx skills add borghei/Claude-Skills --skill customer-interview-script -a codex`. Or copy the skill folder (project-management/discovery/customer-interview-script in borghei/Claude-Skills) into .agents/skills/customer-interview-script in your project. Codex loads it when a task matches its description.

Can I use Customer Interview Script in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill customer-interview-script -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/customer-interview-script, .gemini/skills/customer-interview-script, .github/skills/customer-interview-script and .opencode/skills/customer-interview-script in your project.

What does Customer Interview Script need to run?

SKILL.md names no scripts, command-line tools or credentials: Customer Interview Script is instructions for the agent only.

Does Customer Interview Script access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Customer Interview Script safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Customer Interview Script use?

Customer Interview Script is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Customer Interview Script use?

About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 10k tokens, read only when the agent opens those files.

What are the alternatives to Customer Interview Script?

Skills that share tags, products or a category with Customer Interview Script: User Research Cookiy (cookiy-ai/user-research-skill, 1.6k stars), Fable Domain (Sahir619/fable-method, 2.3k stars), Produck Feedback To Build (tryproduck/produck-skills, 511 stars) and MITRE Problem Framing Canvas (deanpeters/Product-Manager-Skills, 7.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Customer Interview Script?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 874 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.