METHOD / V0.1
Evidence in. Explicit rules. No runtime model call.
InvestorStack evaluates a bounded operating decision for one firm context. It does not claim a universal software ranking.
Run the private check001 / DECISION PIPELINE
The abstention is part of the product.
Unknown incumbents, stale provenance, and weak fit can produce HOLD or INSUFFICIENT EVIDENCE. The engine does not fill silence with editorial certainty.
- 01Validate the input
Firm shape, ranked workflows, incumbent health, ownership, budget, security, integrations, and replacement appetite.
- 02Resolve eligibility
Remove candidates that conflict with operating constraints before any score can influence a recommendation.
- 03Weight the fit
Use seven evidence dimensions to order the remaining candidates for this context only.
- 04Attach the boundary
Every product recommendation carries confidence, reviewed sources, assumptions, and unresolved questions.
002 / DIMENSIONS
Internal weights, visible evidence.
Dimension values are inputs to a context-specific rule set. InvestorStack does not show their weighted sum as an objective category score.
003 / CONFIDENCE
Freshness changes the claim.
High confidence requires at least two independent tier-one or tier-two sources reviewed within 90 days. Missing provenance fails closed. Tool facts and price bands remain directional until verified directly in a buying process.
Research and scoring run offline against versioned sidecars. The production request path reads committed artefacts and produces the same content for the same input, dataset, method, reference, and timestamp.
Paid placement, introductions, and advisory work cannot create, remove, or reorder evidence. Corrections enter an editorial review rather than changing a live score automatically.