What problem does it solve?
Traditional interview planning is reactive and prone to confirmation bias: interviewers often craft questions based on a candidate's resume first, leading to inconsistent assessment, missed red flags, and poor prediction of future job performance. This Skill eliminates that risk by enforcing a scorecard-first, evidence-based workflow that ensures objective, predictive interview design.
Core Features & Use Cases
- 3-Phase Evidence-Based Workflow: Combines Geoff Smart's Scorecard-first Topgrading, Lou Adler's future performance simulation, and Daniel Kahneman's bias mitigation to replace ad-hoc resume-based questioning.
- Dynamic Expert Panel: Automatically tailors its expert guidance (hiring methodology, domain-specific depth, bias control) to the specific role you are hiring for.
- Balanced Assessment Output: Generates structured interview guides that include both red flag (concern) pressure tests and green signal (highlight) verification questions to avoid one-sided evaluation.
- Use Case: A hiring manager preparing for a senior software engineer interview can use this Skill to first define the role's 12-month success outcomes, scan the candidate's resume for gaps against that scorecard, then generate targeted STAR follow-up questions and week-one scenario challenges to assess fit objectively.
Quick Start
Use the interview-designer skill to create a structured interview guide for a [target role] position, using the provided job description and candidate resume as inputs.