How to identify software program risks early
A 1-day, virtual, self-guided training class on spotting the risks that derail software programs — before they've already derailed them.
Most program risk gets identified after it's already too expensive to fix
By the time a software program's risks show up as a missed milestone or a late delivery, they were usually visible months earlier — if anyone had known what to look for. This class teaches the same reasoning behind why software projects fail, so risks get caught while there's still time to act on them.
This class pairs naturally with Requs AI Risk ID and Requs AI Predict — but doesn't require either. It's built to be useful on its own.
What the class covers
Three modules, covered in a single self-guided day.
Reasons why software projects fail
The documented, recurring reasons software projects fail — not the postmortem excuses, but the patterns that show up again and again across programs.
You can't watch for a failure pattern you've never been taught to recognize. Naming it is the first step to catching it early.
Software project risks
How to identify the specific risks present in your own program — scope, schedule, staffing, and technical risk — and score them before they turn into missed deadlines.
A risk that's identified and scored can be managed. A risk that's invisible until it happens can only be reacted to.
Risk identification in practice: a predicted percentile rank, probability of late delivery, and predicted customer satisfaction, scored against a distressed-to-world-class benchmark scale — the same kind of scoring this module teaches by hand.
Factors that contribute to software project success and failure
The specific, measurable factors that separate programs that deliver from programs that don't — so risk conversations are grounded in evidence instead of opinion.
This is the same factor set behind Requs AI Risk ID and Requs AI Predict — by the end of this module you'll understand what's actually driving the score, not just the score itself.
Predicted risk level is one piece of a larger picture: reliable software predictions roll up into RAM metrics, SLA/RAM metrics, and SQA and test metrics — the same factor set this module covers.
Format, duration, and prerequisites
1 Day
Delivered as a single day of self-guided instruction.
Virtual, Self-Guided
Work through the material on your own schedule, at your own pace.
None Required
Recommended for teams already using Requs AI Risk ID or Predict, but the class can be purchased and taken entirely on its own.
Catch the risks that derail software programs — before they do.
Register for the class, or schedule a demonstration of the Requs AI tools it pairs with.