interviewing-evaluating-candidates

Evaluating Candidates helps users make stronger, higher-signal hiring decisions using frameworks distilled from 94 product leaders (151 insights). It is designed to prioritize real-world performance over superficial charisma or pedigree, and it triggers when someone is screening resumes, reviewing work samples or take-homes, conducting reference checks, calibrating their hiring bar, or deciding between finalists.

The skill works by first understanding the user's context (hiring stage and role), then applying relevant principles, challenging shortcuts like pedigree bias or gut-only decisions, and helping structure the process with interview questions, reference-check approaches, and evaluation rubrics. Its core principles are attributed named lessons — for example valuing reference checks over short interviews (Shishir Mehrotra), hiring for team balance rather than unicorns (Adam Fishman), using paid work trials (Elena Verna), prioritizing agency over experience (Albert Cheng), applying structure before intuition (Annie Duke), investing in world-class strengths (Ben Horowitz), the Amazon Bar Raiser debrief model (Bill Carr), and forced stack-ranking of skills (Bangaly Kaba). A companion references/guest-insights.md holds all 151 insights with tactical advice and timestamps, and it points to related skills for job descriptions, interviews, onboarding, and team culture.

Target users are hiring managers, founders, and interviewers — especially in product and startup contexts — who want a structured, bias-aware evaluation process. It is a knowledge and coaching resource with diagnostic questions and rubrics, involving no code, tools, or data access, so it is a benign advisory skill.