Browser-only scorecard

AI Technology Evaluation Scorecard

Compare two options against weighted criteria tied to mission fit and the operating environment. The score creates a visible basis for discussion; it does not replace source-selection or authorization.

How it works

Weight what matters, then score the evidence.

Adjust each criterion’s importance from 1 to 5. Score Option A and Option B from 1 to 5 based on evidence you can verify, not the quality of a demonstration or sales presentation.

Private by design: calculations stay in this browser. The scorecard does not transmit or save values. Keep all use unclassified and non-sensitive, and refer to options only as A and B.

Weighted comparison

Scale: 1 means weak or unsupported; 3 means mixed or conditional; 5 means strong and supported by relevant evidence.

Criterion	Weight	Option A	Option B
Mission and workflow fit Supports the defined user, decision, tempo, and consequence of error.
Evidence and reliability Claims can be tested with representative data, measures, failure analysis, and traceable results.
Security and control Fits information boundaries, identity, permissions, logging, oversight, and deployment constraints.
Integration and operability Works with required systems, interfaces, data paths, infrastructure, and support practices.
Lifecycle and maintainability Updates, monitoring, incident response, sustainment, documentation, and skills are credible.
Portability and dependence Data, models, workflows, interfaces, and knowledge can move or remain usable if conditions change.
Cost and commercial fit Total cost, licensing, usage, support, exit terms, and acquisition implications are understood.

Decision checks

A weighted total can hide a disqualifying condition. Mark the checks that both options must satisfy before a recommendation is credible.

Tested in a representative workflow or environment Known limitations and failure modes are documented Security and information boundaries have named owners Lifecycle, data rights, and exit implications are understood

Challenge the demonstration

Turn product claims into testable evidence.

The companion guide explains how to define criteria, request evidence, run representative tests, and inspect lifecycle dependencies.

Read the evaluation guide

AI Technology Evaluation Scorecard

Weight what matters, then score the evidence.

Weighted comparison

Decision checks

Comparison result

Largest criterion differences

Evidence gate

Turn product claims into testable evidence.