Core Insights: Playbook Duration Performance

Core Insights: Playbook Duration Performance

The Playbook Duration Performance insight answers one of the most important questions in onboarding: Are our projects completing on time? By comparing expected playbook durations against actual completion times, this view reveals where your onboarding process is running ahead of schedule, and where it's consistently falling behind.

Use this insight to calibrate your playbooks, set more accurate customer expectations, and identify systemic delays before they compound into churn risk.

What This View Shows

Duration Variance Chart

The centerpiece of this view is a diverging horizontal bar chart that visualizes how each playbook's actual completion time compares to its expected duration. The chart is anchored at zero in the middle:

• Bars extending to the left (labeled EARLY) indicate playbooks completing faster than expected.
• Bars extending to the right (labeled LATE) indicate playbooks taking longer than expected.

Each bar is labeled with the playbook name. The visual offset immediately tells you not just whether a playbook is over or under, but by how much — making it easy to prioritize which playbooks need attention.

Hover over any bar to see a tooltip with three precise data points:

• Expected Duration — The baseline target for how long this playbook should take.
• Avg Actual — The average actual time to complete projects running this playbook.
• Variance — The difference between expected and actual, shown as a positive (late) or negative (early) value.

Project Performance by Playbook Table

Below the chart, a detailed table breaks down performance at the playbook level with the following columns:

• Playbook — The playbook name. Click the expand icon to see individual project rows nested beneath it.
• # Projects — The number of projects that have run this playbook within the selected date range.
• Expected Duration — The target completion time for this playbook.
• Avg Time to Complete — The average actual completion time across all projects using this playbook.
• Variance — The difference, helping you quantify exactly how far off your estimates are running.

Expanding Playbook Rows

Click the expand arrow on any playbook row to see the individual projects that ran that playbook. This lets you drill down from aggregate performance to specific project-level data — helpful for understanding whether a variance is driven by a few outlier projects or a consistent pattern across all projects.

Summary Stats

At the bottom of the page, four stats give you a quick-read on overall playbook health:

• Playbooks — The total number of distinct playbooks represented in the current view.
• Total Projects — The total number of projects included in the analysis.
• Over Expected — The number of playbooks averaging longer than their expected duration.
• Under Expected — The number of playbooks averaging shorter than their expected duration.

Filters

Refine the data using filters at the top of the page:

• Date range — Set the window for which completed projects are included.
• Playbook — Focus on one or more specific playbooks.
• Owner — Filter to see duration variance for projects owned by specific team members.
• Account — Narrow to a specific customer account.

How to Use This Insight

Calibrate Your Playbook Timelines

If a playbook consistently shows a positive variance (running late), that's a signal your expected duration may be set too optimistically. Use this data to update your playbook's baseline duration to reflect reality — which leads to better customer expectations from day one.

Find Bottlenecks by Playbook

When a specific playbook is consistently late, expand its rows to look for patterns in the individual projects. Is the delay concentrated with certain owners? Certain accounts? Certain time periods? This drill-down helps isolate root causes rather than just symptoms.

Celebrate and Replicate Early Completions

Playbooks finishing ahead of schedule are worth studying too. What's enabling that speed? Is it a specific owner, a particular account type, or a process improvement that could be applied more broadly?

Benchmark Across Playbooks

If you have multiple playbook types (e.g., Enterprise vs. SMB, different product lines), comparing their variance side-by-side helps you understand which onboarding motions are dialed in and which still need refinement.

OnRamp AI Analysis

The OnRamp AI panel on the right side of the screen automatically analyzes your playbook duration data and highlights the most significant variance patterns. It can identify which playbooks are most consistently off-target, flag outlier projects pulling averages, and suggest areas to investigate further.

Ask the AI follow-up questions like: "Which playbook has the worst on-time completion rate?" or "Are there specific owners whose projects always run late on the Enterprise playbook?"

Explore all Core Insights views in this knowledge base for a complete picture of your onboarding performance.

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