Functional foundation · Field guide
Data and outcomes
Connect design decisions to observable changes in user experience and organisational value.
Outcome practice defines what good looks like, establishes a baseline, combines behavioural and qualitative evidence, and monitors unintended effects. Metrics should illuminate decisions rather than reward activity or flatten complex experience into a single number.
Ways to practise the skill.
Choose methods because they reduce the uncertainty in front of the team—not because a template says they belong in the process.
Outcome statement
Describe the desired change for users and the organisation without prescribing a feature.
Helpful whenSetting direction or evaluating competing interventions.Baseline and target
Measure current performance, define a meaningful change, and record assumptions.
Helpful whenBefore implementation, so improvement can be evaluated honestly.Funnel and journey analysis
Inspect completion, time, failure, return, and channel movement across an end-to-end task.
Helpful whenFinding where experience and operational performance diverge.Mixed-method evaluation
Combine analytics with research, support data, satisfaction, cost, and case evidence.
Helpful whenA metric says what happened but not why—or risks hiding important groups.Continue into the field.
Practical standards and method guidance from established sources.