Merov AI uses one cookie — to remember this choice — plus the session cookie required to keep you signed in. We do not track you or sell data.
Every plan includes AI-generated 1:1 preps. Higher tiers analyze more evidence and unlock deeper insights.
Everything in Free, plus:
Everything in Team, plus:
Everything in Business, plus:
Your team at a glance. ● Prep ready
AI Insight
Data Engineering has one active blocker impacting forward progress, and PR review cycles are running at 11 hours average—a pace that suggests either capacity constraints or review bandwidth issues. With zero maker time allocated and one repository carrying bus factor risk, the team is operating in a reactive posture with limited protected space for deep work or knowledge distribution. Blocked work compounds quickly in data pipelines, and slow reviews create bottlenecks that cascade downstream. Without maker time or mitigation on the at-risk repo, the team is vulnerable to both delivery delays and knowledge silos that could impact resilience.
4 things need attention
4 PRs waiting on review for over 3 days. Consider prioritizing the oldest ones.
Healthy feature focus (58%).
Feature 58%
107 PRs
Bug Fix 16%
29 PRs
Refactor 12%
22 PRs
Tests 7%
13 PRs
Infra 5%
9 PRs
Docs 3%
6 PRs
Maker time data appears after daily snapshots are generated.
Large swings in output — may indicate planning or blocking issues
Your team merges an average of 36 PRs per week.
data-pipeline
sdk
docs
cli
Wang Fang merged in sdk
Wang Fang merged in api
Sanjay Mehta opened in auth
Priya Patel reviewed in auth
Omar Hassan opened in auth
Carlos Herrera reviewed in sdk
Philippe Laurent resolved in MEROV
Isabella Torres merged in auth
35
Engineers
5 teams
4
PRs awaiting review
Open >3 days
0
Stale tickets
All active
4
Needs attention
Blockers detected