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Researchers and Partners

FSI Calibrate

Rigor Behind the Results

Pilot and research

The measurement backbone of the platform: instruments built and validated against your own data, not a borrowed norm table.

Who It's For

For people who need the numbers to hold up.

Built for the people who have to answer for a score.

How It Works

Five pillars of the calibration process.

  1. 01

    Build and validate against local data

    Instruments are built and checked against the population they'll actually be used on.

  2. 02

    Anchor to a stable reference population

    Scores are anchored to a stable, known reference population.

  3. 03

    Version and explicitly activate every model

    Every model is versioned and explicitly activated before going live.

  4. 04

    Separate measurement from prediction

    Measurement models and prediction models are validated separately, on their own terms.

  5. 05

    Documentation is a deliverable

    Local norms and technical documentation ship as part of the product, not an afterthought.

What Makes It Different

Rigor you can point to, not just trust.

  • Population-referenced norming instead of norms that quietly shift under a convenience sample.
  • Versioned, explicitly activated scoring models. No silent updates or unreviewed logic.
  • Measurement and prediction are evaluated separately, making it easier to locate weakness in either layer.
  • Local norm development and technical manuals are delivered, not withheld.

Early conversations

Talk through calibration for your data.

Evaluating an instrument or validating against a local population? Reach out.