Float + Strava Integration

You're scheduling team workloads in Float while tracking training hours in Strava, but your capacity reports only update when someone manually exports activity data, so your capacity metrics are always a few hours behind — this integration means every new activity updates your time logs instantly and your data stays current.

You need to know when team members log physical activities that impact project availability, but you find out too late after deadlines are missed — connecting these apps means every new Strava activity triggers a Float time update immediately and you can adjust plans on the fly.

You answer to clients who want to see accurate billable hours and team availability, but manual tracking leaves gaps in your weekly reports — automating both apps means every Strava workout is logged in Float instantly and your client updates are always accurate.

Your organisation manages dozens of athletes submitting continuous training logs that overwhelm manual spreadsheet entry, so records pile up unprocessed — with this integration, every Strava activity lands in Float as logged time automatically without manual intervention.

You depend on upstream team members to hand over training logs before you can schedule project tasks in Float, leading to frustrating bottlenecks — this integration means every Strava activity immediately creates the required time log so your scheduling can proceed without delay.

You need a reliable history of team schedules and training hours for auditing, but you keep finding gaps caused by missed manual entries — automating both apps means every activity and task is recorded accurately without missing a single entry.