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Intelligence Brief
ID: HOW-TO-USE-GROW-ANALYTICS

How to Read Your Grow Analytics

Visualize your long-term behavioral changes through habit heatmaps, streak trends, and correlation data.

Operation ZoneGROW MODULE
Read Duration9 MIN
ANALYTICSCORRELATIONSHEATMAPSSTREAKS

How to Use Grow Analytics

The Vitality Score tells you how today is; Grow Analytics tells you the story over time. It is where your habits, wellness, and learning stop being isolated daily logs and become trends you can read — what is compounding, what is slipping, and how the pieces of your internal operating system move together.

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Operational Directive

One number tells you the state; the trends tell you the direction. Analytics is for zooming out — spotting the slow slide or the quiet climb that a single day's score can never show you.

The Grow analytics dashboard
//Life Analytics, Pillars tab — the Vitality Composition stacked chart showing how sleep, habits, movement, and the rest have contributed over time.

Section Protocol
What the trends show

Analytics composes your inputs into a picture over time — a stacked view of how sleep, movement, habits, and the rest have contributed to your vitality across weeks, alongside streaks and your knowledge throughput (the learning you have actually applied). The value is in the slope and the composition: not just whether vitality is up or down, but which components are carrying it and which are dragging.

The Grow analytics Habits tab
//The Habits tab — a momentum matrix of each habit's completion and a domain-symmetry radar showing where you're strong and where you're thin.
The Grow analytics Wellness tab
//The Wellness tab — sleep architecture and emotional equilibrium across the quarter, so rest and mood are read as trends, not moods of the moment.

Section Protocol
Reading direction, not dots

The discipline here is the same as everywhere in Grow: look at the trend, not the point. A single low day means nothing; a component quietly declining over three weeks is a signal worth acting on. Use the stacked composition to find your weakest contributor and the streak data to spot which habits are actually holding — then put your attention where the trend says it is needed, not where you assume.

Common Traps

Section Protocol
Worked example

Meera's overall vitality looks flat, which she finds discouraging — until she opens the composition and sees the story underneath: her sleep contribution has been climbing while her movement contribution has quietly collapsed, netting out to "flat". The single number hid a real shift. She schedules three short workouts, and the next month's stacked chart shows movement recovering and the overall line finally rising, because she fixed the specific component the trend exposed.

Reflection Prompts

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