Measurement Plan Template

Purpose: Define your KPIs, baseline measurements, data collection methods, and review cadence before you deploy. A measurement plan created after the fact is far less credible and harder to execute.

Measurement Plan: [Project Name]

Prepared by: [Name] Date: [Date] Review Cycle: [Monthly / Quarterly] Plan Owner: [Name, Title]

1. Measurement Objectives

What are you trying to prove? List 2–4 clear objectives.

  1. Demonstrate that [Project Name] reduces [primary metric] by at least [X%] within [N months].
  2. Confirm that [secondary metric] improves or does not deteriorate after deployment.
  3. Track actual costs vs. projected costs to validate the financial model.
  4. [Optional: measure employee experience / satisfaction impact]

2. Primary KPIs

Primary KPIs are the 2–3 metrics that most directly measure the value promised in the business case.

KPI Definition Measurement Unit Data Source
[KPI 1] [Precise definition — avoid ambiguity] [Hours / $ / % / count] [System/tool]
[KPI 2] [Definition] [Unit] [System/tool]
[KPI 3] [Definition] [Unit] [System/tool]

3. Secondary KPIs

Secondary KPIs provide context, explain drivers of primary KPI change, and track potential negative side effects.

KPI Definition Why It Matters Data Source
[KPI 1] [Definition] [What it indicates] [System/tool]
[KPI 2] [Definition] [What it indicates] [System/tool]
[KPI 3] [Definition] [What it indicates] [System/tool]

4. Baseline Measurements

Critical: Capture all baselines BEFORE deployment begins. If baselines are missing, results are unverifiable.

Baseline Collection Schedule

Metric Baseline Period Collection Method Responsible Status
[KPI 1] [Start Date] – [End Date] [Method] [Name] [ ] Not Started
[KPI 2] [Start Date] – [End Date] [Method] [Name] [ ] Not Started
[KPI 3] [Start Date] – [End Date] [Method] [Name] [ ] Not Started

Baseline Values

Fill in once baseline collection is complete.

Metric Baseline Value Measurement Date Data Quality
[KPI 1]     High / Medium / Low
[KPI 2]      
[KPI 3]      

Data quality rating criteria:

5. Targets

Metric Baseline 3-Month Target 6-Month Target 12-Month Target Rationale
[KPI 1] [Value] [Value] [Value] [Value] [Why this target?]
[KPI 2] [Value] [Value] [Value] [Value]  
Cost: Monthly OpEx $[X] projected — $[X] $[X] Per financial model
Adoption rate 0% [X%] [X%] [X%] Per rollout plan

6. Data Collection Plan

For each metric, define exactly how it will be collected post-deployment.

[Metric Name 1]

Item Detail
Data source [System name, API, report, survey]
Collection method [Automated pull / Manual export / Survey]
Collection frequency [Daily / Weekly / Monthly]
Responsible person [Name]
Storage location [Dashboard / Spreadsheet / Data warehouse]
Known limitations [Any gaps or caveats with this data]

[Metric Name 2]

Item Detail
Data source  
Collection method  
Collection frequency  
Responsible person  
Storage location  
Known limitations  

(Add sections for each metric)

7. Reporting Cadence

Report Audience Frequency Format Owner
Operational dashboard Project team Weekly Live dashboard [Name]
KPI summary report Stakeholders Monthly Slide deck / email [Name]
Quarterly business review Leadership Quarterly Presentation [Name]
Annual ROI assessment Executive sponsor Annually Full report [Name]

Escalation Criteria

Escalate to executive sponsor if:

8. Attribution Methodology

How will you isolate the impact of the GenAI project from other changes happening simultaneously?

Method Selected

Known Confounds

List other changes happening during the measurement period that could affect results:

Confound Expected Impact How to Handle
[e.g., Headcount change] [+/- effect on metric] [Control method]
[e.g., Seasonal pattern] [Effect] [Normalize for seasonality]
[e.g., Product launch] [Effect] [Exclude those periods]

9. ROI Tracking

Track financial performance against the business case model monthly.

Period Projected Cost Actual Cost Projected Benefit Actual Benefit Variance
Month 1 $[X]   $[X]    
Month 2 $[X]   $[X]    
Month 3 $[X]   $[X]    
Month 6 $[X]   $[X]    
Month 12 $[X]   $[X]    
Month 24 $[X]   $[X]    

Variance trigger: If actual ROI is >25% below projected for two consecutive periods, initiate a formal review.

10. Post-Launch Reviews

30-Day Check-In

90-Day Milestone Review

6-Month Business Case Validation

Appendix: Survey Templates

For metrics that require employee surveys, use these as a starting point.

Time Savings Survey (pre- and post-deployment)

Administered via your HR/engagement tool or Google Forms. Compare pre vs. post results.

  1. “On average, how many hours per week do you spend [searching for information / completing [task]]?” (Numeric input)
  2. “How satisfied are you with the tools available to help you [complete this task]?” (1–5 scale)
  3. “In the last week, how many times did you need to ask a colleague for information you think should have been easily findable?” (Numeric input)

AI Tool Experience Survey (post-deployment only)

  1. “How often do you use [AI tool name]?” (Daily / Several times a week / Weekly / Rarely / Never)
  2. “When you use [AI tool], how accurate are the results?” (Almost always / Usually / Sometimes / Rarely)
  3. “Using [AI tool] has made my work [significantly easier / somewhat easier / no change / somewhat harder / significantly harder]”
  4. “What’s the most valuable thing [AI tool] helps you with?” (Open text)
  5. “What should be improved?” (Open text)