Onplana schedule-quality benchmark: aggregate DCMA, Health Check and Monte Carlo figures from uploaded project schedules

Aggregate figures from project schedules that people checked with Onplana's free tools (the Schedule Health Check, the Schedule Risk Analyzer, the MPP viewer on onplana.com, and the Onplana Schedule app). The dataset gives, for each population: how often each Health Check finding appears, the share failing each of the DCMA 14 points (as the sample allows), file type and application splits, plan size distribution, and the result of a Monte Carlo simulation of each schedule (share with at least even odds of meeting its stated finish, median P80 slip, median P10 to P90 spread) by plan size, near-critical task count, merge point count and logic completeness.

Aggregates only. No published cell is based on fewer than 20 schedules: a smaller cell is suppressed (n and value blank, suppressed=true), never merged. No file, task, project, organization, user or install identifier appears in any file. Only free and anonymous uploads are counted; uploads tied to a paying or trialing workspace are excluded. The sample is self-selected (people chose to check these plans) and records no industry, country or project type; method.md sets out every definition and limit.

The figures match those published at onplana.com/insights, computed by the same code. This version is the snapshot of 2026-10-22. The dataset is refreshed each quarter as a new version.

Source: Onplana schedule insights, onplana.com/insights