Decision framework · 100-point model · Updated 9 September 2026

Prop Firm Software Selection Scorecard: Weight Fit and Evidence Separately

A scorecard should stop a polished demo or cheap headline price from deciding the procurement. Set knockout criteria and weights before final proposals, then record how strong the evidence is behind every score.

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Gate zero: knockout criteria

Do this before points. A vendor that fails a true mandatory requirement does not advance regardless of aggregate score. Typical knockouts can include required trading platform, exact risk-rule behavior, API/data-export right, maximum fixed commercial exposure, security requirement or migration constraint.

100-point baseline

CategoryWeightBest evidence
Challenge/lifecycle fit15Live configured workflow
Risk engine15Breach/failure tests + audit evidence
Trading/integrations15Production scope, docs and responsibility map
Reliability/support15SLA, incident process and support scope
Total cost at scale15Written launch/base/growth/downside scenarios
Migration/exit10Exports, plan, contract and cutover scope
Data/security/permissions10Terms, controls and live demo
Roadmap/optional features5Current and future scope clearly separated

Score 0–5 for fit

Weighted fit = category score ÷ 5 × category weight.

Add evidence confidence separately

ConfidenceTypical evidence
HighDemonstrated against buyer scenario and supported by docs/signed scope
MediumDocumentation or credible written response, not yet demonstrated
LowMarketing claim, verbal promise, roadmap or unclear dependency

Do not hide low-confidence assumptions inside a precise numerical total. Resolve material low-confidence items before contract.

Use different weights for different buyers

A startup may increase commercial flexibility and implementation weight. A live high-volume firm should usually increase reliability, migration, support, data and architecture. The weights should reflect the buyer—not the categories a vendor markets most aggressively.

Do not score public popularity as product fit

Customer counts, awards, testimonials and brand recognition can be diligence signals, but they are not substitutes for the buyer's own requirements testing. Likewise, public pricing is a commercial input, not a verification or matcher signal.

Recommended decision sequence

  1. Write requirements and knockout criteria.
  2. Set weights before final proposals.
  3. Use a status-safe shortlist.
  4. Send identical RFP requirements.
  5. Run identical demo tests.
  6. Normalize launch/base/growth/downside economics.
  7. Score fit and evidence confidence separately.
  8. Resolve low-confidence material items.
  9. Review contract, data and exit.
  10. Require implementation acceptance before go-live.

Supporting resources: buying process, RFP framework, 30-test demo checklist, quote comparison and due diligence.

Status control: PFV's public research universe is wider than the active matcher set. A strong research score or attractive price does not automatically make a provider eligible for active matching or introduction.
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Independent B2B decision framework · Affiliate economics do not determine fit scoring · Reviewed 9 September 2026.