Show what changed.
Measure the outcome, not the activity.
A baseline-first executive scorecard connecting delivery flow, change quality, AI adoption and economic value. Adjust the illustrative inputs to explore how a team-level outcome review could work.
Start with the baseline. Then evaluate the delta.
All initial values are hypothetical. They illustrate how a scorecard should behave, not a Waydev customer case, audited finding or a forecast.
PR cycle time
4.2 days22.2% shorter vs baseline
Shows change in throughput, not developer quality.
Change failure rate
10.0%3.0 pp lower vs baseline
Lower is better, subject to consistent failure definitions.
Active team adoption
58.0%24.0 pp higher vs baseline
Engagement alone does not establish productivity or ROI.
Illustrative ROI
45.5%Calculated from user-entered assumptions
Value must be verified and attributed before external use.
Input values
A chain of evidence, not a magic number.
Team/workstream, time window, metric definitions and historical source coverage.
Recalculate delivery and quality metrics from consistent cohorts.
Compare approved AI-tool activity with matched work and adoption cohorts.
Include license, token, implementation and infrastructure spend. Only count attributable and verified benefit.
Account for quality drift, role changes, incidents, measurement gaps and alternatives to a causal AI explanation.
Different stakeholders need different evidence.
Improve the delivery system
Find bottlenecks, bottleneck owners and whether changes improved throughput without harming quality.
Sources: Git, reviews, CI/CD, issues
Defend AI investment
Reconcile spend against defensible value estimates and understand assumptions ahead of renewals.
Sources: vendor costs, delivery baselines
Understand limitations
See definitions, period-over-period comparisons and where source coverage or attribution is incomplete.
Sources: approved metric dictionary
Show outcomes as a progression.
Position the scorecard as a sequence: baseline → observed change → quality control → verified costs → attributable value. Avoid turning the sample values above into sales claims.
Homepage module
Compact scorecard showing the four categories and a link to a customer-specific demo, clearly labeled as an example.
Industry module
Use sector-specific outcomes: mission reliability for government, controlled change for finance, and stable delivery for regulated enterprises.
Prove the impact of AI with a baseline you trust.
Connect engineering, vendor and financial evidence. Reconcile the limitations before making an investment decision.
