Generate weekly social performance reports
performance-reportskillsetup L1★1
gokulb20/Crewm8-Social-Media-Manager-Skill-Graph ↗What it does
Generate founder-focused weekly/monthly social performance reports
Best for
Founder-led social teams who need a weekly cadence of performance insights without exhaustive daily dashboard management.
Inputs
- · Metrics data for the period (from metrics-track)
- · A/B test results (from ab-test-analyze)
- · Content calendar (planned vs actual)
- · External events that influenced performance
Outputs
- · Executive Summary (3-4 sentences, 30-second read)
- · Metrics at a Glance table (posts, impressions, ER per platform, follower growth, link clicks)
- · Top 3 Posts with analysis (why it worked)
- · Bottom 3 Posts with diagnosis (why it underperformed)
- · Format Analysis table (Thread ER% vs Carousel vs Single Post)
- · Pillar Performance table (which content pillars drive engagement vs conversion)
- · Key Learnings (3-5 specific learnings with supporting data)
- · Recommendations (2-3 specific, testable actions)
Preconditions
- · Metrics data collected for the full period
- · A/B test results available (optional but recommended)
- · Content calendar shows planned vs actual posts
- · Previous period data available for comparison (YoY or trend analysis)
Failure modes
- · Executive summary exceeds 30-second read (founder skips it)
- · Top/bottom 3 analysis lacks actionable hypothesis (just 'it did well')
- · Recommendations are vague ('post more', 'engage more') instead of specific
- · Doesn't track conversion funnel end-to-end (impressions → engagement → signups)
- · Fails if data missing for entire platform (incomplete comparison)
Trust signals
- · Output format explicitly designed for founder 30-second read (executive summary first)
- · Conversion funnel tracked end-to-end (impressions → engagement → profile visits → link clicks → signups)
- · Key Learnings extracted with specific supporting data (not generic advice)
- · Recommendations are testable and specific (e.g., 'Increase thread cadence from 2/week to 3/week targeting Tue/Thu mornings')
- · Always-on learnings doc implied (continuous improvement across weeks)