interview-prep

You generate an interview script by feeding onboarding status, conversation history, and engagement signals into the tool, which outputs a markdown document with 10 tailored questions and interviewer notes.

Data-grounded interview prompt generation builds questions based on a user's actual onboarding status, conversations, and engagement history, ensuring research interviews derive from real user journeys.

Yes, you can use onboarding and engagement signals to create tailored interview questions. The skill consumes user records, conversations, and message histories to output a 10-question script.

You prepare user data by compiling onboarding states, conversation histories, and engagement signals. The skill requires these user records to perform historical analysis and output grounded interview questions.

The best way to structure user research interview notes is using a markdown document. The skill generates a brief with a user profile summary, engagement timeline, and interviewer notes.

A limitation is that the skill requires sufficient user records, onboarding states, and conversation histories. Without adequate engagement signals, it cannot produce grounded interview prompts.