Time-on-Task Benchmarking
How long does this task take to complete?
This test measures whether your "quick" flows are actually quick for people who've never seen them before — because what takes your team 30 seconds might take a new user three minutes.
See what this costs →Why It Matters
Your team thinks the checkout takes two minutes. For a new user, it takes six. You can't feel that difference because you're too close to the product.
Here's what time blindness looks like:
- Steps that feel instant to your team take 3–5x longer for someone encountering them for the first time
- Users perceive your flow as slower than competitors' — even when the actual step count is the same
- The steps that cause the longest delays are rarely the ones you'd guess
- Drop-off rates correlate strongly with time-on-task — the longer it takes, the more people leave
Speed isn't just a performance metric. It's a user experience that directly affects whether people finish what they started.
Time-on-Task Benchmarking gives you the real numbers — so you can see exactly where your flow is slower than it should be.
What You'll Learn
Step-By-Step Timing
Get precise timing data for each step in your flow — revealing exactly which steps take the longest and where delays accumulate.
Slowest Steps Ranked
See your flow steps ranked by time spent — so you can prioritise optimisation where it will have the biggest impact on overall speed.
Time vs Completion Correlation
Understand the relationship between how long a task takes and whether users complete it — identifying the time thresholds where people give up.
Benchmark Comparisons
Compare your timing data across different user segments, device types, or before/after redesigns to measure real improvement.
What This Test Does Not Measure
This is not about error types or qualitative feedback on why people are confused. It measures speed and efficiency. If you need to understand what specific errors are happening, use a different method.
Looking for that instead? Try a Error Rate Analysis.
Frequently Asked Questions
We capture timing for each individual path, so you can see how different navigation choices affect total time. This often reveals that certain paths are dramatically slower — even when they seem equivalent.
Page load time measures technical performance. Time-on-Task measures how long users spend completing each step — including reading, deciding, filling in fields, and navigating. A page can load in 200ms but still take users two minutes to figure out.
Yes. You can compare how long tasks take for different demographics, experience levels, or device types — revealing which users are most affected by slow steps.
We recommend at least 10 testers for stable timing patterns. Individual differences in reading speed and familiarity smooth out at this level. For high-stakes flows like checkout, 15+ testers give you more reliable averages. See our guide on how many testers you need for details.
Absolutely. Running a benchmark before and after a redesign gives you objective proof of improvement. This is one of the most common and valuable use cases for this method.
Most tests complete within 24–48 hours. Each tester spends around 10–15 minutes completing the tasks, with precise timing captured at each step across multiple parallel sessions.
More Ways to Test Task Completion
Choose the next test based on what you want to learn.
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Error Rate Analysis
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Guides
Step-by-step guidance for planning and running research.
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