Performance Intelligence
Understand performance, learning needs, risks and more
31 articles
Welcome to Performance Intelligence
Start here: what Performance Intelligence is, how the workspace is organised, what Compass AI produces, and how background analysis works.
- What is Performance Intelligence?A mostly read-only analytics workspace that uses AI to surface patterns across your reviews, objectives, and fast feedback — designed for admins, HR leaders, and senior managers.
- How Compass AI analyses your dataA signals-level guide to what Compass produces — the AI outputs that drive every Performance Intelligence view, and what each signal actually means.
- How the workspace is organisedA tour of the PI workspace — the top-level tabs, the sidebar, the cycle picker, and the filters that wrap every view.
- Understanding the processing queueHow Compass AI processes data in the background, what the queue alerts mean, and how to know when analysis is complete.
PI - Reviews
Cohort-level analysis of a review cycle — talent grid, manager calibration, benchmarking, and lenses for performance, development, risk, culture, and collaboration.
- Reviews OverviewThe cohort-level read on a single review cycle — performance distribution, sentiment, perspective alignment, top themes.
- Collab Points (lens)The recognition leaderboard — who’s being recognised, how broadly, and whether recognition aligns with performance.
- Culture (lens)People-investment evidence from review narratives — who’s mentoring, building teams, developing talent.
- Collaboration (lens)Cross-department collaboration patterns extracted from review narratives — strongest connections, silos, networks, evidence.
- Development (lens)The cohort-level read on development needs — top areas, top strengths, and a department × capability skills matrix.
- Calibration (lens)Rating distribution, per-manager calibration, and self-vs-manager perspective gaps for any rating dimension in the review.
- People (lens)An employee-by-employee table for the selected review cycle — AI performance level, development area, sentiment, perspective alignment.
- BenchmarkA scatter plot that lets you correlate any two numeric fields — typically financial metrics against AI performance signals.
- ManagersManager effectiveness across the cycle — review quality, sentiment, team performance distribution, and calibration consistency.
- Talent GridA 9-box matrix placing every employee on configurable X and Y axes — the classic talent map, populated automatically from AI signals.
- Risk (lens)Retention, burnout, and disengagement signals extracted from reviews — by department, by performance level, with outlier detection.
PI - Employee Trajectory
How each person is moving across cycles — archetypes, progression readiness, development gaps, risk direction, and succession bench strength.
- Trajectory OverviewThe cross-cycle synthesis view — how the cohort is progressing across multiple review cycles, what archetypes dominate, and where the headline signals are.
- SuccessionProgression readiness pipeline — who’s ready, who’s developing, where the bench is thin.
- Risk (Trajectory)Who’s at risk across cycles? New concerns emerging, skill regressions, declining trajectories.
- Development (Trajectory)Is development working? Gaps resolved vs persistent vs new — across multiple cycles.
- People (Trajectory)Browse and filter every employee’s cross-cycle trajectory profile — archetype, readiness, arc summary, and trajectory direction at a glance.
PI - Objectives
AI quality scoring for objectives — SMART assessment, quality flags, and how objectives align to strategic priorities.
- Objectives in Performance IntelligenceHow the Objectives section of the Performance Intelligence workspace works — AI-scored objective quality plus a strategic alignment view.
- AlignmentA matrix view of how objectives are distributed across strategic plans, by department, role, and location.
- Quality & SMARTHow well-written are your firm’s objectives? AI-scored quality, SMART dimension analysis, common issues.
PI - Fast Feedback
Sentiment and topic analysis of fast feedback — Net Sentiment Index, trending themes, feedback quality, and research views.
- Fast Feedback in Performance IntelligenceHow the Fast Feedback section of the Performance Intelligence workspace works — sentiment, quality scoring, and a topic explorer built on the firm’s feedback.
- ResearchAn interactive topic explorer — pick a topic from the feedback, filter by sentiment, read frequency over time, descriptors, and the actual feedback examples.
- QualityHow well-written is your firm’s fast feedback? Quality scoring, dimensions, common issues.
- SentimentNet Sentiment Index, sentiment trend over time, trending topics with sentiment breakdown, sentiment by segment, strengths and growth-area word clouds.
PI - Compare Reviews
Track change between cycles — movement across the talent grid, development progress, and shifts in manager calibration.
- Compare Reviews OverviewPut two or more completed cycles side by side — how sentiment, review quality, performance composition, and risk signals shifted between them.
- Managers (Compare Reviews)Which managers assess their teams consistently across cycles — team quality, sentiment, variance, and trajectory metrics per manager, side by side.
- Development (Compare Reviews)Is your development investment working? Gap resolution rates, shifting gap and theme priorities, employees stuck on the same gap, and skills evolution by department.
- MovementWho moved up, who held, who moved down — performance-level flows across your selected cycles, the biggest individual movers, and movement by department.