See where the time goes.
Dashboards showing upload volume, time tracked, review turnaround, and project throughput. Know where your team spends its time.
How it works
Open the dashboard
KPI cards and sparklines show high-level trends at a glance.
Filter by project or member
Drill down into specific clients, projects, or team members.
Act on it
Spot bottlenecks, rebalance workload, and set realistic deadlines.
Capabilities
KPI Dashboards
Upload count, hours tracked, and review speed.
Trend Lines
Sparkline charts showing progress over time.
Breakdowns
Split by project, client, member, or status.
Webhook Stats
Delivery events carry versions, hours, and comment stats to your tools.
Project Timeline Analytics
Track how long projects take from creation to delivery. See average hours per video, post-production hours, and versions per video, broken down by client or team member. Identify bottlenecks where projects consistently stall, whether it is a slow review phase, a backed-up editor, or a client who takes weeks to respond.
Timeline data helps you set realistic expectations for new projects. Instead of guessing that a project will take two weeks, you can reference historical data showing that similar projects averaged 11 days with a standard deviation you can plan around.
Break timelines down by phase to see where time is actually spent. Use time tracking data alongside timeline analytics to pinpoint exactly where hours go. If post-production consistently takes three times longer than pre-production, you know where to invest in process improvements or additional resources.
Team Utilization and Workload
See how time is distributed across your team. Identify who is overloaded and who has capacity. Understand how much of your team's time goes to creative work versus revisions versus administrative tasks.
Utilization data is essential for studios that need to decide whether to hire, outsource, or restructure workflows. Combine it with project management views for a complete operational picture. Without it, you are making staffing decisions based on who complains the loudest about being busy rather than on actual workload data.
Revision and Feedback Metrics
Track how many versions it takes to get to an approval, and how that number trends over time. Rework hotspots show where revision effort concentrates. This data helps you identify systemic issues in your briefing process, creative direction, or client communication.
Comment resolution rates show how efficiently your team addresses feedback. A high volume of comments that stay open for days suggests a process bottleneck. Quick resolution rates indicate a healthy review workflow. These metrics make the invisible parts of your production process visible.
Delivery and Completion Tracking
Monitor deliveries over time and by client, average versions to approval, and how quickly feedback gets resolved. These metrics are the outcomes that matter most: are you delivering, and are review cycles getting shorter?
Historical delivery data helps you identify seasonal patterns, capacity constraints, and the true cost of scope changes. When you can show a client that their additional revision requests added four days to the timeline, the conversation about deadlines becomes grounded in data rather than frustration.
Frequently asked questions
What data does RecReview track?
RecReview tracks project timelines, task status changes, phase transitions, time entries, comments and resolutions, version uploads, review statuses, and delivery events. This data is aggregated into dashboards and reports.
Can I export analytics data?
Dashboards cover time, deliveries, review health, and team productivity inside the platform, and delivery webhooks carry key production stats (versions, hours tracked, comments resolved) to your external systems.
How far back does historical data go?
All data from the creation of your workspace is retained and available for analysis. There is no rolling window or data expiration. Your analytics improve over time as more historical data accumulates.
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