Platform · Live · new here
Research-methods rigor engine (assumptions · power · corrections)
The toolbox's statistics/research-methods capability — assumption checks, power/allocation, multiple-comparison corrections, effect sizes. The rigor layer other analyses lean on; the badge behind 'measurement done right'.
- Cluster
- Platform
- Type
- algo
- Status
- Live
- Used by
- people-analytics-toolbox
Maturity evidence
- Functioning
- Live spoke: REST /api/spokes/research-methods/allocate + MCP research-methods.check-assumptions; registered in the contract registry + health aggregate; check:spokes green.
- Valuable
- Engine live + MCP-callable, but NO direct SKU — it is a rigor DIFFERENTIATOR that composes into other analyses; 'validity audit as a service' (MEJ-S1) is strategy, not shipped.
- Understood
- src/spokes/research-methods/README.md documents role + contract.
- Integrated
- Consumed as the rigor layer across analyses; no dedicated human product surface yet.
How to use it
- REST
- /api/spokes/research-methods/allocate
- MCP
- research-methods.check-assumptions
- Data
- src/spokes/research-methods/
Other Platform capabilities
- Comp audit self-serve — CSV intake, free validate, commerce-gated watermarked run (HO-155)
- Gift pass — gifted ownership on the entitlement store (magic-link claim)
- JobFrame canonical Job Family × Focus × Level taxonomy + classifier
- SMB pay-system wizard — chocolate/vanilla over the pay-system catalog
- Support channel — portfolio-wide /support form → ticket store → operator email
- Ask-your-data — generalizable NL→rank→tier→cite spoke (HO-378)
- Diagnostic acquisition — next-best-ask over a live hypothesis set
- Executive-Priorities Elicitation Instruments (static catalog)
Capability detail sourced from the People Analytics Toolbox capability feed (source of truth), snapshot retrieved 2026-07-23.