Benchmarking
Understand the numbers.
Keep the athlete in view.
Your own history shows how things change. Relevant reference ranges add another point of view. Striiive brings those perspectives together to help athletes, parents, and coaches ask better questions about progress.
Explore the comparisonsIllustrative metric
The example value moves from 40 to 46 across six readings. A trend shows the pattern; its meaning depends on the metric and the training context.
Invented values for explanation only. No real athlete data or published reference norms are shown.
Two useful ways to look
Each perspective answers a different question. Together, they give a reading more context.
Follow a metric across recorded sessions, training blocks, and seasons. Your history helps you see patterns and put a recent reading alongside the work that came before it.
Read the pattern with its source, any gaps in recording, and what was happening in training.
When a suitable reference is available, compare a metric with reference bands for age and sex. The result gives an estimated position within that comparison.
A reference position describes one metric in one context. It leaves room for each athlete’s own path.
Reading a percentile
Start with the reading itself, understand the reference, and bring the comparison back to the athlete.
A percentile refers to one metric. Read it alongside the metric’s name, units, and direction, rather than treating it as an overall fitness score.
Where an applicable reference is available, Striiive uses reference bands for age and sex to estimate a percentile position. The reference group is part of the meaning.
Look at how the underlying readings have changed, how much data is available, and what was happening in training. A comparison is one part of that picture.
Know what is behind the comparison
Recent data coverage tells you how much information is available to work with. A gap in recording is useful context when you review a trend or benchmark.
Striiive’s current benchmark coverage indicator counts days with data within a 30-day window. It reaches its maximum at 14 recorded days.
This is an indicator of data availability. It does not measure device accuracy or statistical confidence.
Current coverage calculation
More context starts with knowing which readings are there and which are missing.
Growing into the detail
The development-stage dashboard changes the detail it presents as athletes grow. The aim is to keep the experience appropriate to that stage.
Explorer stage
Young athletes’ views emphasize streaks, missions, and achievements. Percentile panels and detailed number charts are kept out of this stage’s dashboard.
Builder stage and beyond
Metric values and percentile context become part of the dashboard as more detail is introduced. The comparisons available still depend on the data and applicable references.
A percentile is one lens on a metric. An athlete’s development is a much longer story.
Good questions to ask
It describes an estimated position for a particular metric against an applicable reference. It does not sum up your skill, effort, potential, or future performance. Use it alongside your history and the context of your training.
Metrics have different directions and meanings. For example, Striiive reverses the displayed percentile direction for resting heart rate. Read the metric, its displayed direction, and the underlying history together.
A comparison depends on recorded data, an applicable reference, and the development-stage presentation. Some information may be unavailable while a baseline is building, or may be kept out of a younger athlete’s view.
The coverage indicator describes how much recent data is available. Measurement accuracy also depends on the source and recording conditions. Coverage and accuracy are different parts of the context.
Keep exploring the story
Explore the thinking behind Striiive’s calculations, or ask us about a metric you want to understand.
