sm:invalidate-interview

Generate read-aloud interview scripts with negative-framed questions and pause cues.

5|2|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/mnfst-ai/Stage_Manager_Skills --skill sm-invalidate-interview
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sm:invalidate-interview
Source: https://github.com/mnfst-ai/Stage_Manager_Skills/tree/main/plugins/stage-manager/skills/invalidate-interview
Command: npx skills add https://github.com/mnfst-ai/Stage_Manager_Skills --skill sm-invalidate-interview

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns ranked assumptions and personas into a short, human-run interview script designed to surface whether core product or design assumptions are wrong. It removes guesswork from customer conversations by using negative framing and explicit pause cues so builders get corrective, provable signals rather than polite confirmations.

Core Features & Use Cases

  • Negative-framed prompts: Converts each top-ranked P1/P2 assumption into a concise negative frame that invites correction.
  • Structured, read-aloud script: Produces opening language, demographic anchors, per-assumption negative frames with explicit pauses, a walk-away setup, and a scarce ask for referrals.
  • Prep-dependent gating: Validates that invalidate-prep output (ranked assumptions and personas) exists and refuses to produce a script without it to avoid aimless interviews.
  • Use Case: A founder runs invalidate-prep, then requests this Skill to generate a 20–30 minute interview they can print and run with real users to gather pull signals and verbatim corrections.

Quick Start

Ask the skill to generate an invalidate interview for the primary persona using your top ranked assumptions from invalidate-prep.

Frequently Asked Questions about sm:invalidate-interview

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate user interview scripts to test product assumptions?

Generate user interview scripts to test product assumptions by converting ranked assumptions and personas into a structured, read-aloud conversation with negative-framed questions and pause cues. This produces a 20-30 minute script designed to invalidate design hypotheses and gather verbatim corrections.

What is negative framing in user research interviews?

Negative framing in user research interviews is a technique that phrases assumptions as incorrect statements to invite correction from the participant. It surfaces corrective, provable signals rather than polite confirmations, helping builders gather pull signals and test whether core product assumptions are wrong.

How do I prepare assumptions and personas for an assumption-testing interview?

Prepare assumptions and personas for an assumption-testing interview by running an invalidate-prep step to rank hypotheses and define user profiles. The Skill requires this ranked prep output to gate script generation, refusing to produce an interview script without it to avoid aimless conversations.

Can I conduct a live user research interview using a generated script?

Yes, you can conduct a live user research interview using the generated script, which is formatted for read-aloud execution. It includes opening language, demographic anchors, per-assumption negative frames with explicit pauses, a walk-away setup, and a scarce ask for referrals for a 20-30 minute session.

What is the best way to invalidate design hypotheses during customer conversations?

The best way to invalidate design hypotheses during customer conversations is using a structured interview script with negative-framed prompts. By applying negative frames to top-ranked P1 and P2 assumptions with explicit pause cues, you remove guesswork and extract corrective signals from real users.

Why does the interview script generator require prep output before creating questions?

The interview script generator requires prep output before creating questions to ensure targeted, assumption-testing conversations. This prep-dependent gating validates that ranked assumptions and personas exist, preventing aimless interviews and ensuring the negative frames are accurately applied to the correct user profile.