Evaluation Scorecard Template

Last updated: 2026-05-18

A practical template for evaluating AI tools before you commit. Copy this into a spreadsheet or doc, fill it out per tool, and you'll have a consistent record to compare against.

Tool Information

FieldValue
Tool name
Category
Pricing
URL
Date evaluated

Scoring Criteria (1-5)

Rate each criterion from 1 (poor) to 5 (excellent). Add notes on anything that influenced your score.

CriterionScore (1-5)WeightWeightedNotes
Capability fit20%Does it actually do what you need?
Ease of use15%How quickly can you get productive?
Integration quality15%Does it connect to your existing stack?
Pricing value15%Cost relative to what you're getting?
Data privacy15%How does it handle your data?
Support quality10%Is help available when you need it?
Documentation quality10%Clear, accurate, and complete?

Weighted total — Sum of (Score × Weight) for each row. Maximum is 5.0.

Weighted Total Calculation

Weighted Total = (Capability × 0.20) + (Ease × 0.15) + (Integration × 0.15) + (Pricing × 0.15) + (Privacy × 0.15) + (Support × 0.10) + (Docs × 0.10)

Adjust weights to fit your context. Enterprise buyers often weight privacy higher. Early-stage teams often weight ease of use higher.

Comparison Section

When choosing between two or more tools:

CriterionTool ATool BWinner
Capability fit
Ease of use
Integration
Pricing
Privacy
Support
Documentation
Weighted total

Final Verdict

VerdictWhen to use
KeepAdd to stack. Meets your requirements.
TrialRun a 14-day test. Needs validation before committing.
PassDoesn't meet requirements. Look elsewhere.

Notes Section

Use this for anything that didn't fit elsewhere:

  • Pros and cons summary
  • Deal breakers
  • Follow-up questions for the vendor
  • Next steps

How to Use This Template

  1. Fill in the tool information section.
  2. Score each criterion and add notes.
  3. Calculate the weighted total.
  4. If comparing tools, fill in the comparison section.
  5. Assign a verdict and document your reasoning.

Saving these evaluations builds a useful record over time, especially when revisiting decisions or onboarding teammates.