Prioritising Design Work
Deciding what to fix first, using evidence rather than the volume of the most recent complaint.
Definition
Prioritisation ranks candidate work by expected value against cost. For usability issues, the standard inputs are frequency, impact and persistence, which combine into a severity rating.
Craft convention. True because the industry converged on it. Breaking it costs familiarity, not correctness.
On this plate
Reach for this when
- Turning audit or research findings into work.
- Planning a quarter.
- Deciding between competing requests.
- More work is agreed than can be done, which is the normal state.
Common mistakes
- Prioritising by who asked.
- Treating accessibility as a low-frequency issue.
- No record of rejected work.
- Scoring without the effort estimate, which turns prioritisation into a wish list.
Severity from three inputs
| Input | Question |
|---|---|
| Frequency | How many users hit this, and how often? |
| Impact | When they hit it, how much does it cost them? Can they recover? |
| Persistence | Do they learn to work around it, or does it cost them every time? |
| Reach | Is it on a critical path, or in a rarely visited corner? |
Rules that keep prioritisation honest
- Attach frequency data to every anecdote before it enters the list.
- Accessibility failures that exclude people outright are not a low priority regardless of how many users are affected.
- Separate 'quick to fix' from 'important', and be explicit when you are doing something because it is cheap.
- Revisit the list when new evidence arrives, rather than defending the previous ranking.
- Record what you decided not to do and why, so the same debate is not repeated monthly.
Running the exercise
Do
- Score against a written definition of each level, agreed before anyone looks at the list.
- Estimate effort with the people who will do the work.
- Keep a visible cut line, so what is not being done is as explicit as what is.
- Revisit when something ships or something breaks, not on a fixed ceremony.
Do not
- Average five people's scores and call the result objective.
- Give every item high priority, which is the same as giving none.
- Let the score replace the conversation. The disagreement about a score is usually the useful part.
- Prioritise a list that nobody has deduplicated.
In practice
- i.
Frequency beats drama
WeightingA rare catastrophic bug and a daily two-minute irritation produce similar noise in a backlog. Multiplying impact by how many people hit it, and how often, usually reorders the top of the list.
Local chart
FLOW·006 · Region IV · Grid G1
This entry and the entries it is stated to connect with. Each line is labelled with what the connection means.
Continue from here
Each link says what the connection is, so you can tell a principle from an alternative from a thing people mix this up with.
Principles behind this
The reasoning this solution is an application of.
- Availability HeuristicBIAS·011 · Cognitive bias
- Sunk Cost FallacyBIAS·014 · Cognitive bias
- Product ThinkingMOD·002 · Mental model
- Pareto PrinciplePRIN·002 · Principle
Often used with
These usually appear in the same screen or the same decision.
- Heuristic EvaluationTPL·008 · Template
- Story MapTPL·006 · Template
- UX Audit ReportTPL·009 · Template
- JiraTOOL·047 · Tool
Check your work
Review passes that test whether this was done properly.
- UX Audit ChecklistCHK·008 · Checklist
Short definition
The one-paragraph version, for when that is all you need.
- BenchmarkTERM·031 · Term
- North Star MetricTERM·032 · Term
- SeverityTERM·115 · Term
Related concept
Connected closely enough to change how you apply this.
- Screenshot to UX AuditAI·001 · AI workflow
- Heuristic EvaluationRES·002 · Research method
- Product AnalyticsRES·010 · Research method
- Accessibility AuditFLOW·012 · Workflow
- Problem FramingFLOW·007 · Workflow