Time-in-platform stats

Six tiles: sessions and active days, average session, longest session, total time in the platform, the module you spend the most time in, and the customer or job you spend the most time on.

What it is

Derived usage figures presented as a personal record rather than surveillance. 'Most time in' names a module — Estimates, Pipeline, Projects. 'Most time on' names the record in focus most often, a customer or job by name.

Also called: how much time do we spend in here · sessions · longest session · what do we use most

See it
Time-in-platform stats
Won
52%
Avg cycle
19d
Pipeline
$413k
JanSep
Six compact tiles: 'Sessions 214 / 96 active days', 'Longest session 3h 12m / personal record', 'Most time on — Miller Barn · a customer / job'. StatTiles in AchievementLadder.tsx. Sample data — no customer information appears here.
How it works
  1. 1Sessions, active seconds, module seconds and focus seconds are rolled up from the usage pulse.
  2. 2Average session, longest session, total hours and distinct active days are computed from those.
  3. 3The top module and top focus label are the highest-total entries in each map.
  4. 4Module keys are translated to human labels before display.
Why we built it

The ladder categories treat time as a business fact, not vanity: 'Time here is time on the parts of the business that pay', and for active days, 'Consistency compounds. Day after day, it adds up to a different business.'

The problem
  • Nobody could tell which modules were carrying the work.
  • Time sunk into one demanding customer was invisible.
Sound familiar?
What you get
The most-used module and most-demanding customer are named.
Consistency is measured in days shown up, not hours logged.

See it on your own jobs

Twenty minutes, your numbers, no slide deck. We’ll build one of your real buildings in front of you and send you the estimate link at the end — yours to keep either way.

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