Total fires
104
1.8× avg per coach
Unique coaches
58
of 107 new coaches
Connections formed
15
25% of activating coaches
Top action
invited
56% of all events
Daily usage trend
Coach Activation fires per day — last 30 days
Total events (bars) · Unique coaches (line)
Total events
Unique coaches
Volume growing in the second half of April — daily peaks of 8–9 checklist interactions vs 2–7 earlier. The session replay shows coaches spending ~29 seconds on the checklist screen, clicking into Step 2 (Review player stats). Organic engagement is increasing as more coaches discover the coaching setup screen.
Coaching setup checklist step completions
Each action_type = a step in the onboarding checklist · 30d total
Step 1 · Invite your first player
Step 2 · Review player stats
Step 3 · Plan your player's round
Most coaches complete Step 1 (invite a player) — but far fewer reach Step 2 (review stats, 37 fires) and almost none reach Step 3 (plan a round, only 5 fires). The checklist is dropping off steeply. Step 2 is trending upward in April, suggesting coaches are discovering stats browsing as a value driver. Step 3 remains almost untouched — the core coaching workflow is not being reached.
Downstream funnel
What happens after coaches interact with the Coaching Setup checklist?
Coach Activation → Connection Request Sent → Analysis Viewed → Round Plan Started · 30d · coaches only
Connection Req. Sent
▼ 55.9% · avg 17h
Connection Added
▼ 35% · avg 5h later
Analysis Viewed
▼ · avg 16h
Round Plan Started
▼ 87% · avg 25min
Of 59 coaches who engaged with the coaching setup checklist, 15 (25%) actually formed a new connection — the request was sent and accepted. Average time from activation to connection added: ~22 hours. This is the clearest measure of the checklist driving real network growth.
8 coaches sent a request but it wasn't accepted within 30 days — a 35% acceptance gap. This could be improved by making it easier for invited players to accept, or by nudging coaches to follow up. Only 3% ultimately start a round plan, meaning connection formation is not yet translating into coaching workflow adoption.
Event correlation · daily unique users
Coach Activation vs Connection Request Sent, Analysis Viewed & Round Plan Started
Normalised to same scale for comparison · last 30 days
Coach Activation
Connection Req. Sent ÷3
Analysis Viewed ÷20
Round Plan Started ÷5
Coach Activation tracks reasonably with Connection Request Sent day-to-day — days when more coaches activate also tend to see more connection sends. Analysis Viewed and Round Plan Started are much higher-volume baseline activities and move independently. Coach Activation is not yet a leading indicator of deeper engagement events.
Action type trend
Action type breakdown over time — stacked daily
Step 1 (invited) · Step 2 (stats_viewed) · Step 3 (planned_round_viewed) · last 30 days
invited
stats_viewed
planned_round_viewed
Step 2 (stats_viewed) is growing through April while Step 1 (invited) stabilises — coaches are progressing further into the checklist over time. Step 3 (planned_round_viewed) is just beginning to appear in late April, suggesting a small cohort is reaching the full coaching workflow. The "View Stats" CTA on Step 2 appears to be an effective driver.
Feature impact · App Session → Connection Added trend
Coach Activation feature release vs Connection Added conversion rate
App Session → Connection Added · monthly · Jan–Apr 2026 · avg 28.1%
Jan 2026
19.44%
pre-feature
Feb 2026
28.47%
pre-feature
Mar 2026 ← launch
31.36%
+2.89pp vs Feb
Apr 2026 (partial)
32.95%
+13.51pp vs Jan
The connection rate was already improving Jan → Feb (+9pp), but the rate of increase accelerated after Coach Activation launched in mid-March. March added another +2.89pp and April is on track for +1.59pp more — the trend is consistently upward and the feature launch coincides with a sustained step-change in connection behaviour.
Correlation ≠ causation — other factors (app updates, seasonal effects) may contribute. However, the 25 coaches who directly formed connections via the coaching setup checklist represent real, attributable network growth. At 32.95% in April, connection conversion is at its highest point in the 3-month window.