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Performance Watch

Count of employees currently on a formal Performance Improvement Plan (PIP) or equivalent performance-bar process. Leading indicator for `hr.terminations` — most PIPs that do not resolve with measurable improvement convert to involuntary exits within one quarter. Common pitfall: confusing PIPs with informal coaching — only employees on a written, time-bound plan with defined exit criteria should be counted here. Informal "we need to talk" relationships belong in the at-risk count, not this number. — HR KPI, I'mBoard-authored (editorial tier).

I'mBoard-authored (editorial tier)

No public third-party standard anchors this KPI yet, so I'mBoard authors and maintains the definition — transparently labeled as editorial tier. See the ontology methodology for the published vs editorial tier system and the back-attribution workstream.

Rogue ID: hr.performance_watch_count Type: Number Domain: HR

Definition

Count of employees currently on a formal Performance Improvement Plan (PIP) or equivalent performance-bar process. Leading indicator for hr.terminations — most PIPs that do not resolve with measurable improvement convert to involuntary exits within one quarter. Common pitfall: confusing PIPs with informal coaching — only employees on a written, time-bound plan with defined exit criteria should be counted here. Informal "we need to talk" relationships belong in the at-risk count, not this number.

Formula

Count of active employees on a written, time-bound Performance Improvement Plan with explicit success criteria and an end date (typically 30/60/90 days). Excludes informal coaching relationships and probationary new hires unless the new-hire is on a formal extension PIP.

Why it matters

Leading indicator for hr.terminations and a read on management discipline — managers who avoid PIPs accumulate B-players, managers who over-use them are training-out coachable performers. The trend matters more than the snapshot.

How to interpret

A sustained PIP count of ~1–3% of headcount typically reflects healthy performance management; near-zero suggests management avoidance; >5% sustained suggests either hiring-quality issues or unrealistic performance bars (industry folk-wisdom, not citation-grade). PIP-to-termination conversion rate (tracked privately) usually settles in the 60–80% range when the program is well-run.

Calculation policy

How an AI agent should compute this KPI from messy company data. Free-text rules consumed at reasoning time — not a deterministic DSL. The most common ways to get this wrong are listed under Common miscomputations.

Inclusion rules

  • Count of active employees currently on a WRITTEN, time-bound Performance Improvement Plan (PIP) with explicit success criteria and an end date (typically 30 / 60 / 90 days), as of the snapshot date — a point-in-time read.
  • Only formal, documented plans count — the leading indicator for hr.terminations.

Exclusion rules

  • Informal coaching / "we need to talk" relationships with no written plan — those are retention/management signals at most (hr.at_risk_count), not a PIP.
  • Probationary new hires, unless a new hire is on a formal extension PIP with the same written, time-bound structure.
  • Employees who have completed or exited a PIP (passed, or already terminated) by the snapshot date.

Required inputs

  • List of active PIPs with start date, defined end date, and documented success criteria.
  • PIP outcome tracking (passed / converted-to-exit) for the conversion-rate read.
  • Team / manager attribution.

Data-source priority

  • HR case-management / PIP system of record with written plan documents.
  • Manager + HRBP confirmation that each plan is formal and time-bound (not informal coaching).

Edge cases

  • PIP that lapses past its end date with no documented outcome: resolve it (passed or exited) rather than letting it linger in the active count.
  • New-hire on a formal extension PIP: counts here; ordinary probation does not.
  • PIP-to-termination conversion (privately tracked) typically settles in the 60–80% range when the program is well-run — use it to anticipate hr.terminations.

Validation checks

  • PIP count should LEAD hr.terminations by roughly a quarter — most unresolved PIPs convert to involuntary exits.
  • Sustained ~1–3% of headcount reflects healthy performance management; near-zero suggests management avoidance; >5% sustained suggests hiring-quality or unrealistic-bar issues.

Common miscomputations

  • Counting informal coaching as PIPs — overstates the leading indicator and blurs it with hr.at_risk_count.
  • Leaving completed / lapsed PIPs in the active count.
  • Including ordinary new-hire probation as a performance watch.
  • hr.terminations
  • hr.involuntary_turnover_rate
  • hr.at_risk_count
  • hr.talent_challenges

Source

I'mBoard editorial — authored and maintained by I'mBoard, first published 2026-04-01. No third-party standard is cited for this KPI; when one emerges, the definition is back-attributed and promoted to the published tier (a minor version bump). Read the ontology methodology for the published vs editorial tier system, attribution rules, and dispute process.

Stage relevance

Company stagePriority
Series ARecommended
Series BRecommended
Series C+Recommended
PublicRecommended

Suggested for stages: Series A, Series B, Series C+, Public.

Default owning functions

  • HR

Machine-readable

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