6 Ways to Better Understand Employee Performance

November 6, 2025

Many performance tools give you performance data in the form of a single performance rating, or maybe that plus a 9-box (a where managers make a judgement of an individuals "potential). We don't believe this is an objective-enough tool to actually understand how folks are performing and drill into the leverage that can really improve performance outcomes.

Check out these 6 ways to better understand employee performance—so you can make better decisions on pay, promotions, growth opportunities and have a much better sense of where you should invest your resources to enable employees to have a bigger impact.

Level Progression: Who’s progressing, who's stalled out, who's a rising star?

What it is: A distribution of employees by their growth progress through their level as demonstrated by the % of competency attainment (live progression status).

Why it matters: You see both seniority and progress. That lets you spot your true top performers—the people who are highly skilled and far through their current level—so you can target stretch work, mentorship, or promotion panels. This gives you an idea of who will be ready to level up in the coming months.

What you do with it:

  • Identify flight-risk top talent (high level, high progression rate) and lock in growth plans.
  • Find teams stuck early in-level and clear blockers or recalibrate expectations.

Growth Rate: How are individuals or teams growing overtime?

What it is: A time-based view of growth across average level and in-level progress (ring completion %). See company-wide trends or filter to any subset (function, team, cohort). You can also view individual and team growth trajectories.

Why it matters: It separates noise from signal: not just who scored what, but whether people and teams are actually advancing—toward the next level and through it.

What you do with it:

  • Track the impact of programs (onboarding, enablement, new leadership) on real capability growth.
  • Spot plateaus early and intervene with coaching or scope changes.
  • Validate promotion readiness with objective progression data over time.

Competency Heat Map: Compare strengths, then drill into specifics

What it is: Average competency scores by department plus a level-by-level heat map inside a single rubric (darker = higher average).

Why it matters: You get a fast cross-functional benchmark on domain skills, then immediately drill into where a specific level or competency is underperforming.

What you do with it:

  • Benchmark functions against the competencies that matter (e.g., Product Delivery, Commercial Impact).
  • Pinpoint gaps (e.g., IC4s light on Execution) and build targeted coaching, enablement, or hiring plans.

Alignment Rate: Are managers/employees more or less aligned?

What it is: Starting alignment %—the share of ratings where managers and reports independently match—tracked over time.

Why it matters: Alignment is a proxy for clarity, trust, and a healthy review process. In Pando you should see it trend up as managers set clearer expectations and employees internalise the rubric—even with new hires entering the system. The more aligned managers and their reports are the higher performance outcomes we see.

What you do with it:

  • Coach managers whose teams lag on alignment.
  • Prove that your rubric rollout is working (or fix it if it isn’t).

Calibration: Improving alignment after big changes

What it is: A cycle-specific workspace to review ratings, drill into competencies, mark people as calibrated, and capture notes that don’t live in the raw assessment.

Why it matters: Calibration is where performance becomes equitable and defensible. You keep the discussion structured, decisions documented, and outcomes consistent.

What you do with it:

  • Use it to re-align managers after new performance expectations, org-changes, new levels introduced, etc
  • Keep a clean audit trail for every decision.

Distribution: fairness checks and signal on standards

What it is: Rating distributions (performance rating or competency ratings in their rubric) by any slice—role level, department, location, manager, gender, ethnicity, etc.

Why it matters: You can spot rating drift by leader, function, or demographic—then jump straight back into Calibration to investigate. It’s the fastest way to see if your standards match reality.

What you do with it:

  • Compare leaders’ distributions to flag outliers.
  • Check that performance signals align with company results—are we over-rating during a down quarter?

Why this is different from everything else

  • Skills, not vibes: Everything ties back to rubrics and observable behaviors, not vague ratings.
  • Progress inside levels: Ring completion % shows how far someone is through a level—most systems can’t.
  • Alignment as a metric: We quantify whether the process is working, not just the outcome.
  • From insight to action: Every chart is a jump-off to coaching, calibration, or career moves.

If you’re already using Pando, try this flow: Check Distribution for outliers → inspect them in Calibration → confirm skills in Heat Map → track improvement in Alignment. If you’re not yet on Pando, this is the difference: your performance process stops being a black box and starts compounding capability.

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