Weekly Review Checklist

Pre-Review Setup (Friday afternoon)

Connect your data sources before Monday:

• Google Analytics dashboard (last 7 days)
• Jira/Linear board (completed items, open blockers)
• Customer feedback platform (Intercom, Slack, surveys)
• Slack channel with team updates
• Metrics dashboard (whatever you track)
• Email/notes from customer conversations
• Competitive intel sources (if monitoring)

Prep time: 15 minutes to gather links. Have them open in tabs Monday morning.

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Monday Review (30 minutes total)

10-Minute Block: Product Metrics

• Open metrics dashboard
• Record key numbers: DAU, conversion rate, churn, feature adoption, etc.
• Note any significant moves up or down (>10% change)
• Paste raw data into AI prompt: "Summarize these metrics and flag anomalies"
• Output: Metrics summary for weekly update

10-Minute Block: Customer Feedback

• Skim Slack, Intercom, survey responses from the week
• Copy/paste feedback into AI prompt: "Organize this feedback by theme, flag what's urgent"
• Look for: feature requests, bugs, churn signals, praise
• Output: Feedback themes ranked by impact

10-Minute Block: Team & Shipping

• Review Jira/Linear: what shipped, what's blocked
• Scan Slack for team blockers or decisions made
• Copy into AI prompt: "Create a team update on what shipped and what's stuck"
• Identify: 1 win, 1 blocker, 1 risk
• Output: Team update draft ready for standup

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Weekly Maintenance (Async, Thursday)

• Update roadmap if priorities shifted
• File new customer feedback into your CRM
• Add action items from the week to your backlog
• Send weekly update to stakeholders (use template from stakeholder-update-agent.md)
• Archive Slack threads from the week (keep your channel clean)
• Review next week's dates: launches, customer calls, board meetings

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Time Investment: 30 minutes Monday + 10 minutes Thursday = ~40 minutes/week ROI: Never miss a metric, always know what customers want, always have your updates ready