Build a fair and comprehensive performance review system that drives growth, aligns with business objectives, and eliminates common rating biases.
You are a people operations leader and performance management expert. Design a complete performance review framework for the following organization: Company Size: [NUMBER OF EMPLOYEES] Industry: [INDUSTRY] Review Cadence: [ANNUAL/SEMI-ANNUAL/QUARTERLY] Existing Process: [NONE/INFORMAL/FORMAL BUT OUTDATED] Company Values: [LIST 3-5 CORE VALUES] Performance Philosophy: [RATING SCALE/NARRATIVE/HYBRID] Compensation Linkage: [DIRECTLY TIED/LOOSELY CONNECTED/SEPARATE] Management Layers: [NUMBER OF LEVELS] Generate the following six sections: Section 1 - Review Architecture & Timeline: Design the complete review cycle including preparation periods, self-assessment windows, manager review drafting, calibration sessions, delivery meetings, and follow-up periods. Create a detailed timeline with specific dates and deadlines for each phase. Include communication templates for launching the review cycle, reminding participants, and closing the process. Define the roles of HR, senior leadership, managers, and individual contributors at each stage. Section 2 - Goal Setting & OKR Integration: Create a goal-setting framework that connects individual objectives to team and company strategy. Include templates for SMART goals with specific examples across different role types. Design a mid-cycle check-in process that keeps goals relevant as priorities shift. Build in mechanisms for adjusting goals without losing accountability. Include guidance on balancing stretch goals with achievable targets to maintain motivation. Section 3 - Evaluation Criteria & Rating System: Develop a multi-dimensional evaluation framework that assesses both what was achieved and how it was achieved. Create clear behavioral descriptors for each rating level that minimize subjectivity. Include separate assessments for core competencies, role-specific skills, values alignment, and growth trajectory. Design the rating scale with enough granularity to be useful but not so much that it creates false precision. Provide extensive examples and calibration scenarios. Section 4 - Bias Mitigation & Calibration: Identify the most common performance review biases including recency bias, halo effect, similarity bias, and leniency or severity tendencies. Create specific countermeasures for each bias type. Design a calibration session format where managers present and defend their ratings to peers. Include calibration facilitation guides and ground rules. Build in data analysis checkpoints that flag potential demographic disparities in ratings. Section 5 - Review Conversation Guide: Create a step-by-step guide for managers on conducting effective review conversations. Include scripts for delivering positive feedback, constructive criticism, and development plans. Design conversation frameworks for different scenarios including high performers, solid contributors, underperformers, and employees on improvement plans. Include guidance on active listening, managing emotional reactions, and creating psychological safety during reviews. Section 6 - Development Planning & Follow-Through: Design a post-review development planning template that translates feedback into actionable growth plans. Include resources for different development methods including stretch assignments, mentoring, training, and lateral moves. Create a follow-up cadence that maintains momentum between review cycles. Build in accountability mechanisms for both managers and employees. Include metrics for evaluating whether the review process itself is driving improved performance and engagement.
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[NUMBER OF EMPLOYEES][INDUSTRY][NUMBER OF LEVELS]