Understanding job and review durations

Vodori dashboards are a powerful tool to help teams extract actionable insights from analytics platforms. By centering metrics and visualizations around core business questions, organizations can identify operational bottlenecks, evaluate content quality, and optimize their review workflows. 

Deriving meaningful insights from these dashboards requires a deep understanding of core metrics and how to evaluate them alongside related indicators to accurately identify the root causes behind changes in performance.

The purpose of this article is to bridge the gap between data and decision-making. It outlines how to use Vodori dashboards to diagnose performance trends, enabling users to move beyond surface-level reporting and uncover meaningful insights. 

Relevant metrics:

• Average/Median Job Duration
• Average/Median Review Duration

Key business context: Are our review cycles fast enough to support marketing and launch timelines?

This helps teams understand overall review speed and identify whether delays are occurring before first approval or later in the process.

🪏 Digging further:

How do these metrics trend over time? (e.g., MoM) If upward, then the organization is generally taking longer to move promotional materials through the approval process. If both median and average are increasing, it suggests the issue is broad-based.

Potential causes: Increased submission volume, more complex content, reviewer capacity constraints, declining content quality, process changes or additional review needs compared to prior periods, delays in content creation, increased risk sensitivity.

When these metrics trend upward, the next question is usually: "Is the increase driven by more work, more complex work, slower reviewers, or more rework?"

The fastest way to answer that is to segment the trend by:

1. Job volume
2. First Pass Approval Rate
3. Average Circulations
4. Time per review step
5. Brand / Market / Job Type

Together, those dimensions will typically reveal whether the root cause is capacity, complexity, process, or quality.

What the Metric Combination Tells You