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- Conducting Interviews
conducting-interviews_skill
5
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
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Installation
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npx veilstrat add skill refoundai/lenny-skills --skill conducting-interviews- SKILL.md4.2 KB
Overview
This skill helps interviewers design and run effective hiring interviews rooted in behavioral frameworks and real-world practices from experienced product leaders. It focuses on creating consistent interview loops, crafting questions that reveal true capability, and improving evaluation accuracy. Use it to reduce bias, surface ownership, and predict on-the-job performance.
How this skill works
I ask about the role and the most critical competencies, then co-design a structured interview loop with clear objectives, timeboxes, and evaluation criteria. I suggest behavioral and simulation-style questions, probing heuristics (e.g., drill six levels deep), and a rubric to separate signal from polished delivery. I also flag common mistakes and provide calibration guidance for multiple interviewers.
When to use it
- Designing an interview loop for a new role or team
- Crafting interview questions to test real-world ownership and skill
- Calibrating multiple interviewers to the same evaluation standards
- Evaluating candidates in real time and avoiding common biases
- Turning interview outcomes into consistent hiring decisions
Best practices
- Define 3–5 core competencies for the role and map each interview to one or two competencies
- Use behavioral prompts (past examples) and drill multiple levels into the how and why
- Prefer collaborative simulations or take-home tasks over hypotheticals when possible
- Score against objective criteria and capture evidence for each rating
- Always ask about failures and learning, and end interviews with 'anything else?'
Example use cases
- Create a 4-interview loop for a senior PM with role-specific rubrics and timeboxes
- Write 8 behavioral and simulation questions that reveal ownership and trade-off thinking
- Train hiring panel on probing techniques and how to avoid rewarding rehearsed answers
- Audit an existing interview process to remove hypotheticals and add failure-focused prompts
- Build a calibration checklist for post-interview debriefs to align expectations
FAQ
Ask follow-ups that demand depth: drill into specifics, request artifacts or metrics, and test for decisions made versus team outcomes.
When should I use a simulation or take-home exercise?
Use them when you need to observe work output or collaboration skills; keep scope realistic and timeboxed to avoid bias toward candidates with more free time.
How do we calibrate ratings across interviewers?
Use shared rubrics with example answers, run calibration sessions with sample transcripts, and require evidence notes to justify each score.