1---2name: guest-researcher3description: Research potential podcast guests — background, expertise, recent work, and prepare interview briefs4---56## When to activate78- Researching potential guests for upcoming episodes9- Preparing interview briefs with background and talking points10- Finding guests that align with episode themes11- Creating outreach templates for guest invitations12- Building a guest pipeline with priority rankings1314## When NOT to use1516- For episode content planning (use episode-outliner)17- For post-interview fact-checking18- For audience research or listener analytics1920## Instructions21221. **Define guest criteria.** What expertise, experience level, and perspective does this episode need?232. **Research background.** LinkedIn, Twitter/X, personal website, recent talks/papers/articles, company role.243. **Find unique angles.** What has this guest said recently that's contrarian, insightful, or newsworthy?254. **Prepare 10 questions.** 3 warm-up, 5 deep-dive, 2 rapid-fire. Avoid questions they've answered 100 times.265. **Create interview brief.** One-page: bio, expertise areas, recent work, key questions, topics to avoid.276. **Draft outreach email.** Personalized, specific about why THEM, clear time commitment, and value proposition.287. **Build guest pipeline.** Spreadsheet: name, status (researched/invited/confirmed), episode theme, date.2930## Example3132```33Guest Brief: Dr. Sarah Chen34Role: VP Engineering, ScaleAI35Expertise: Distributed systems, ML infrastructure, team scaling36Recent: Talk at KubeCon 2026 on "ML at Scale Without the Pain"37Twitter: @sarahchen (42K followers)3839Key Questions:401. "You mentioned ML infra is 80% plumbing — what did you mean?"412. "What's the biggest mistake teams make when scaling ML pipelines?"423. "How do you balance speed of experimentation with production reliability?"4344Topics to avoid: Company financials, competitor comparisons45```