Skill

okr-benchmark-calibration

Benchmark calibration method for OKR targets using revops KPI definitions adjusted for stage, momentum, and GTM model. Use when testing whether targets are stretched, sandbagged, or appropriately calibrated before approval.

From opspal-okrs

Install

Run in your terminal

npx claudepluginhub revpalsfdc/opspal-commercial --plugin opspal-okrs

Tool Access

This skill is limited to using the following tools:

ReadGrepGlob

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Last CommitMar 18, 2026

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Calibration Sequence

Identify the canonical metric in revops-kpi-definitions.json

Pull the peer range relevant to stage, GTM model, and ACV tier

Compare the org’s actual baseline to the peer range

Adjust the target posture based on momentum:

weakening momentum -> lower confidence and tighter stretch
stable momentum -> normal calibration
strong momentum -> allow more aggressive stretch if evidence supports it

Label the result:

sandbagged
within_range
stretched_but_supported
unsupported_moonshot

Momentum

Calibration Effect

Deteriorating

Bias toward conservative/base stance unless recovery levers are proven

Flat

Stay close to benchmark-informed base stance

Improving

Allow higher stretch if the driver is durable and evidence-backed

OKR Benchmark Calibration

When to Use This Skill

Benchmarking a proposed OKR target or initiative assumption
Stress-testing whether a target is too easy or too aggressive
Adjusting peer comparisons for stage, GTM model, or current momentum
Explaining why a target is above, within, or below peer range

Core Principle

Benchmarks are context, not truth. Always compare the org’s actual baseline to peer ranges before using the benchmark to calibrate a target.

Calibration Inputs

Read these inputs together:

Company stage
GTM model
ACV tier
Recent momentum or trend direction
Data quality and freshness

Calibration Sequence

Identify the canonical metric in revops-kpi-definitions.json
Pull the peer range relevant to stage, GTM model, and ACV tier
Compare the org’s actual baseline to the peer range
Adjust the target posture based on momentum:
- weakening momentum -> lower confidence and tighter stretch
- stable momentum -> normal calibration
- strong momentum -> allow more aggressive stretch if evidence supports it
Label the result:
- sandbagged
- within_range
- stretched_but_supported
- unsupported_moonshot

Momentum Adjustment Guidance

Momentum	Calibration Effect
Deteriorating	Bias toward conservative/base stance unless recovery levers are proven
Flat	Stay close to benchmark-informed base stance
Improving	Allow higher stretch if the driver is durable and evidence-backed

Warning Signs

Benchmark segment does not actually match the company profile
Benchmark is cited without a real org baseline
The target sits above P90 with no evidence for why
A vanity or activity metric is being compared as if it were an outcome metric

References

KPI catalog: ../../opspal-core/config/revops-kpi-definitions.json
Initiative scoring: skills/initiative-scoring-methodology/SKILL.md
OKR methodology: skills/okr-methodology-framework/SKILL.md