What it does
Takes job descriptions, company values, and must-have skills to craft behavioural and technical interview questions with scoring rubrics.
Why I recommend it
Hiring managers often wing interviews. Automation ensures consistency and reduces bias.
Expected benefits
- Structured interviews across teams
- Faster hiring prep
- Better candidate evaluation
- Compliance with HR best practises
How it works
Input job details -> Claude outputs questions grouped by competency, follow-ups, red flags, and expected responses -> stored in Notion/ATS.
Quick start
Provide AI with your current question list to calibrate tone, then expand for new roles.
Level-up version
Tailor by seniority, include remote-culture questions, and auto-generate scorecards in greenhouse/Lever.
Tools you can use
ATS: Greenhouse, Lever
Docs: Notion, Coda
AI: Claude
Automation: Zapier, Make
Also works with
Investor diligence interviews, customer research scripts.
Technical implementation solution
- No-code: Airtable JD -> Zapier -> Claude -> Notion template.
- API-based: ATS webhook -> AI -> attach question set to interview plan.
Where it gets tricky
Keeping content updated for evolving roles, avoiding discriminatory questions, and ensuring interviewers actually use the provided guide.
