Experience Benchmarking
Understand how your experience compares, where users face difficulty, and which improvements deserve attention.
Measurement & Improvement Direction
Experience Benchmarking research that informs clearer decisions.
Experience benchmarking compares selected journeys using agreed tasks, criteria and measures. We help your team establish a baseline, assess relevant alternatives and identify practical opportunities to improve. Each comparison explains what was studied and what the evidence can support.
What we look at
Task performance versus competitors
Heuristic quality across key journeys
Content and trust signal strength
Priority gaps by business outcome
How we study it
Structured competitor UX reviews
Comparative usability where needed
Scorecard and gap analysis
Board-ready experience benchmarks
When to research
When benchmarking helps
Use benchmarking when you need to understand a competitor experience, compare products in your portfolio, assess a redesigned journey or establish a baseline before making changes. It can also help teams agree priorities when different stakeholders have different views of experience quality.
A smaller business may start with one important journey and a few alternatives. An enterprise may need comparisons across products, channels or markets. We agree a manageable scope around the decision you need to make.
Research focus
What we can compare
Comparisons can cover discovery, information finding, option selection, onboarding, task completion, help, recovery and cancellation. Depending on access and scope, we can study websites, apps, internal tools, service touchpoints and connected physical experiences.
We distinguish competitor comparisons, internal portfolio comparisons and tracking over time. These answer different questions. A competitor study examines selected alternatives; an internal study identifies variation across your experiences; repeat measurement tracks an agreed baseline across study waves.
Our approach
Research grounded in evidence
We choose methods according to the decision your team needs to make, the people involved and the context of use.
Findings are linked to observations and participant accounts, with coverage and limits kept visible.
From context to opportunity
Our research process
Plan a fair comparison. Specify equivalent tasks, eligibility, environments, measures and permitted access
Gather evidence. Conduct the agreed reviews or user studies and document product versions and conditions
Analyze differences. Compare results, investigate barriers and show where the evidence is limited
Prioritize improvements. Connect findings to user impact, relevant business priorities and delivery constraints
Plan the next measurement. Where needed, agree a repeatable baseline and how future changes will be recorded
The output
What your team receives
Depending on scope, deliverables can include a benchmarking framework, task definitions, a comparative scorecard, annotated journey findings and a prioritized gap assessment. A findings workshop helps your team interpret the comparisons and decide what to investigate or change.
Reports explain the sample, methods, dates, product versions and study conditions. Recommendations show the supporting evidence and distinguish observed barriers from hypotheses. Any leadership summary retains important limitations rather than remove them for a simpler headline.
What we investigate
Choose measures that fit the question
Measures may include successful task completion, time on selected tasks, errors, assistance needed, comprehension and user-reported ease. Structured expert reviews can assess selected usability criteria. We agree definitions before collecting evidence so results have a clear meaning.
Review scores are not the same as observed user performance. We report these separately. If a combined score is useful, we explain its inputs, weighting and missing data rather than present an unexplained ranking as an objective verdict.
Research focus
Keep the comparison fair
We account for differences in user familiarity, task difficulty, device, account status and available features where relevant. When participants use more than one experience, study design should consider learning and order effects. We document unavoidable differences rather than assume every result is directly comparable.
Only accessible, authorized journeys are included. We do not assume access to competitors' internal systems or confidential information. Missing coverage is marked as unavailable, not automatically scored as poor performance.
Global research
Compare across markets with context
For multi-market studies, we agree relevant languages, local journeys, devices and participant criteria. Equivalent user goals do not always mean identical tasks when services or features differ. We make these differences visible in the analysis.
Scores from different markets should not be combined without considering how the studies were conducted. We can report market-specific findings alongside comparable measures where the design supports them. Market coverage and local research arrangements are confirmed before fieldwork.
Research focus
Track progress without overstating results
Repeat studies are useful when core task definitions and measures remain sufficiently consistent. We record changes in the product, participants and research conditions so your team can interpret movement in the results.
Small qualitative studies identify issues but do not establish population rankings. Quantitative comparisons require an appropriate sample and analysis plan. A numerical difference is not automatically meaningful, and an improved score does not prove the redesign caused a commercial outcome. We do not guarantee leadership, conversion gains or a particular ranking.
Before we begin
Frequently asked questions
There is no fixed number. We select alternatives based on relevance to your users and the decision being made, balancing coverage with the depth of study and available budget.
Yes, where a suitable baseline or comparable version is available. We check whether tasks, measures and research conditions support a useful comparison.
A custom comparison covers the experiences and sample agreed for your study. It is not an industry-wide norm unless an appropriate reference dataset is available and its relevance has been assessed.
The schedule should reflect product changes and the decisions your team needs to make. We agree useful measurement points rather than automatically recommend monthly studies.
Tell us which experiences and journeys you want to compare, the intended users and what you need to decide. Share any existing baseline or research. We will discuss access, methods, deliverables, timing and budget.
Let us help shape the next step
Your experience has a UX problem.
Let’s find and fix it.
Next research service Experience Strategy Your experience has a UX problem. Let’s find and fix it. Contact Us Tell us what you want to compare.