Le-Ko — Power BI product health snapshot

Focus: what got worse vs the prior week across Engagement, Groups, Posts

Current period: 19 Jun – 25 Jun 2026 · Comparison: 12 Jun – 18 Jun 2026
Report generated: 26 June 2026 · Source: Power BI PDF exports (reports/data) · PostHog for cross-checks only

Executive summary Power BI — all subjects

Product behaviour from Power BI exports. PostHog cited only where it explains a gap.

Engagement rose week over week

Total engagement rose 780 → 1,000 (+28.2%), while posts rose 63 → 85 (+34.9%). Engagement per post rose 12.38 → 17.06 (+37.8%). Only 1.66% of users engaged (was 1.00%).

Critical — group participation collapsed

Users in at least one group: 27 → 26 (-3.7%). Memberships 28 → 27; total groups 4 → 3. Share of users in groups: 3.05% → 2.94%.

Chat volume rose week over week

Chat messages 74 → 92 (+24.3%); chat participation 0.98% → 1.13%. Users creating events — → —.

Watch list (medium priority)

Cross-source threads (Power BI + PostHog)

Engagement Power BI — engagement

1,000
Total engagement
+28.2% vs prior week
17.06
Engagement / post
+37.8% vs prior week
1.66%
% users engaged
+66.0% vs prior week

Posts rose, engagement rose

Posts rose from 63 to 85 (+34.9%); total engagement rose +28.2%. Likes rose 692 → 1,000 (+44.5%). Comments rose 50 → 118.

Creator share rose as a % of the base

% users who create content: 7.33% → 9.16%. Average posts per user ticked up (0.08 → 0.1) because a smaller cohort posts more often — not broad-based participation.

Daily engagement vs posts (Day 1–7 aligned)

Blue = total engagement actions; gold = posts published that day. Compare shape, not calendar date.

Engagement mix

MetricThis weekPrior weekChange
Total posts8563+34.9%
Total likes1,000692+44.5%
Total comments11850+136.0%
ER user5.09%4.03%
Chat messages9274+24.3%
Chat participation %1.13%0.98%
Avg actions per engaging user17.913.0+37.7%

PostHog cross-check: Active users 32 → 38 — engagement decline exceeds MAU decline, so feed quality or audience fit is likely involved, not only fewer people online.

Groups Power BI — groups

26
Users in ≥1 group
-3.7% vs prior week
27
Total memberships
-3.6% vs prior week
2.94%
Share of users in groups
-3.6% vs prior week

More groups, fewer members each

Total groups 4 → 3 while users in groups fell 27 → 26. Memberships 28 → 27 (-3.6%). Average groups per user rose (0.15 → 0.12) but only because the denominator shrank — not healthy expansion.

Events data incomplete this week

Prior week: 10 events, 9 participants, RSVP ratio 32.14%. Current export shows “--” for several event fields — flag for data pipeline / filter refresh before acting on event KPIs.

Group participation KPIs

MetricThis weekPrior weekChange
Total groups34-25.0%
Users in at least one group2627-3.7%
Group memberships2728-3.6%
Share of users in groups2.94%3.05%
Total events310
Event participants9
RSVP vs memberships32.14%

PostHog cross-check: Group deep-link opens jumped 0 → 0 while memberships fell — users are landing on group surfaces but not joining. Pair with onboarding (0 → 0 completions) to test “new users never discover groups” hypothesis.

Posts Power BI — posts

85
Total posts
+34.9% vs prior week
7.23
Avg days to first post
-1.4% vs prior week
0.1
Avg posts / user
+25.0% vs prior week

Coach posts fell — still the larger share of supply

Coach posts 33 → 29 (-12.1%); athlete posts 30 → 56 (+86.7%). Feed posts 52 → 79; groups posts 11 → 6.

More posts include photo or video

Posts with video, photo, or both fell from 50 to 79 (+58.0%). Video-only 20 → 27; photo-only 26 → 49; both media types 4 → 3. Users with gallery and at least one post stayed at 156 — lower posting volume did not translate into more gallery adoption.

Post media mix

MetricThis weekPrior weekChange
Athlete posts5630+86.7%
Coach posts2933-12.1%
Groups posts611-45.5%
Feed posts7952+51.9%
No gallery / no post users650590flat
Avg days until first post7.237.33flat