Community AnalysisCommunity Weekly Report Review
Automatically generate an operations weekly report from 7 days of community data: overview metrics, core-event narrative, sentiment arc, dual risk-and-compliance tables, and next-week action recommendations.
Metric overview
liveDAU
48.2k
+6.4%Payers
3.1k
+2.1%ARPU
$0.72
−1.3%The Community Weekly Report Skill is a community-operations weekly-report generation capability in ThinkingAI's industry Skill library. It helps operations and community teams automatically generate a structured operations weekly report from 7 days of community data, covering overview metrics and channel distribution, 2 to 3 core-event narratives running through the week, the sentiment arc, dual product-alert and compliance-risk tables, and next-week action recommendations. This is ThinkingAI's decade of industry experience, packaged into ready-to-use Skills.
Live walkthrough
The main storyline for the weekly report is laid out: this week's positive sentiment rate climbed from 71% to 82%, but the lift isn't a broad organic improvement: it's a single-point pull from 'Late Night Radio.' The karaoke-room topic is still quietly sliding, masked by the event's heat. The week's two storylines for a sample voice-chat platform (demo) follow.
1. This week's sentiment arc and core events
Event 1: 'Late Night Radio' launch (07-13). Discussion of emotional-companionship rooms rose +47% week over week, and the positive rate climbed from 71% early in the week all the way to 82% by Thursday, the sole engine of the week's sentiment improvement. Event 2: karaoke rooms keep cooling. Topic post volume fell 13.2% week over week, and 'empty room' feedback has appeared for 5 weeks running, a chronic-decline signal masked by the event's heat.
2. Core metrics, week over week
| Metric | This week | Last week | WoW |
|---|---|---|---|
| Total posts | 14,236 | 11,872 | +19.9% |
| Total comments | 89,415 | 76,043 | +17.6% |
| Positive-sentiment rate (weekly avg) | 75.9% | 70.4% | +5.5pp |
| Emotional-companionship room discussion | 4,317 | 2,937 | +47.0% |
| Karaoke-room topic posts | 1,208 | 1,392 | −13.2% |
| Risk content | 23 | 31 | −25.8% |
You only get the full picture by viewing the positive rate alongside discussion volume by category: of the +5.5pp overall improvement, emotional-companionship rooms contributed almost all the lift, and karaoke rooms are the only content category with negative growth: looking at the weekly-average positive rate alone would lead to the wrong conclusion that 'the community is improving across the board.'
On your data
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The problem
More than 70% of community weekly reports are still a 7-day day-by-day running log, lacking a core narrative and sentiment arc that run through the week. Alerts and compliance are often mixed together, with product bugs, design issues, and reward-grant errors placed in the same table as violating ads and fraud, which neither meets audit requirements nor supports directed follow-up. Data collection also means manually assembling 6 data sources, averaging 1 to 2 hours and easily missing things.
What it does
When to use it
Generating a community operations weekly report for team reporting each week
Extracting core events and the sentiment arc from 7 days of community data
Separating product alerts from compliance risks for different follow-up tracks
Viewing community channel distribution and comparing platform characteristics
Building a next-week operations action plan from community data
In the field
FAQ
What is the difference between a weekly and a daily report?
A weekly report is a 7-day summary, focused on the event narrative and sentiment arc running through the week. A daily report is a single-day flash, focused on the day-over-day change and anomaly signals.
Why not write a day-by-day running log?
A day-by-day log lacks a connecting narrative; only a core-event narrative lets the team remember what important changes happened this week.
Why separate alerts and compliance into two tables?
Product alerts are followed up by the product team and compliance risks by the compliance team, so separate tables better fit audit and collaboration requirements.
Related Skills
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