peopleanalyst
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Customer deck · assembled by the engine · draft

HR Analyst / Practitioner — performix (customer)

For the analyst asked to find insight in noisy feedback data, Performix is the psychometrics layer — real measurement, not another dashboard built on rater noise.

Draft — 1 slide still carry a [bracketed]placeholder for Mike’s real figures (traction · raise · market size · valuation). Confidential — investor room.

01

Your situation

show you understand their world

An in-house people analyst or HR practitioner who'd actually run the instrument, and who knows exactly how noisy the feedback and 360 data they're handed really is.

02

The problem & its cost

make the pain concrete

About 60% of the variance in a performance rating is the rater, not the person — and more detailed scales make it worse; feedback programs often backfire.

  • How it feels: You're expected to produce trustworthy insight from instruments you know are weak.
  • The cost of the status quo: Another rating cycle whose output everyone quietly knows is noise.
03

Why the old way is breaking

the commercial insight that reframes it

Decades of psychometrics already solved a lot of this — measurement should use it, not reinvent a dashboard.

04

The better future

the desired outcome in their language

Insight you can defend, on instruments that were designed for measurement.

05

How we get you there

the product path / mechanism

Performix is built on real psychometrics and protected feedback — minimum-group-size gates, reliability-aware measurement — so what you hand leadership holds up.

  • Field the protected-feedback diagnostic instead of another rating cycle.
  • Get a reliability-aware read of the binding constraint per team.
  • Bring leadership a finding you don't have to apologize for.
06

Proof

needs input

demo · case study · benchmark · ROI

The argument above is demonstrated end-to-end in a matching use case — See the method and the proof points behind it. [Attach the specific proof: the paired situation, a metric, or a result.]

07

Risk reversal

implementation · support · guarantees · security

You're the one who sees the rater variance up close and has to caveat every chart. Start low-commitment: See the method and the proof points behind it.

08

Next step

one low-friction action

Run a diagnostic that's built to survive your own scrutiny.