Every project produces lessons learned, but most of them end up in a register that few people consult when the next project starts. Project managers are under pressure to plan quickly, and searching through past reviews, claims and retrospectives for relevant insights takes time they rarely have. As a result, teams repeat avoidable mistakes and risks are identified only once they start affecting the schedule or budget.
Planisware Prisma helps project managers put past experience to work, using lessons learned from previous initiatives to identify risks earlier, strengthen decision-making and improve project outcomes before issues occur.
Let's follow a project manager as they use Prisma to turn lessons learned from customer feedback into risks on a new R&D project.
From lessons learned to proactive risk management with Prisma
Find the right lessons in seconds
The project manager starts by asking Prisma to list the lessons learned linked to customer feedback. Prisma interprets the request against the lessons register, using the Claims category as the source, and returns five matching lessons captured on a previous project. For each one, it shows the situation, the action taken, the recommendation, its classification and its status, and offers to re-scope the search if the project manager had a different source in mind. Knowledge that usually sits unused in a register becomes available in a single request, so every new project can start from what the organization has already learned.
Turn past experience into candidate risks
Next, the project manager asks Prisma to suggest some risks for project R&D-004. Prisma derives five candidate risks from the lessons, each based on a recommendation that would become a risk if ignored:
- a poorly defined work breakdown structure
- a lack of KPI tracking
- weak stakeholder engagement
- an ill-defined scope
- insufficient schedule visibility
Every suggestion comes with a description and a link back to the lesson it came from. Prisma also explains how it would create them: each risk is attached to the project's top-level WBS activity with an open status, and category, severity, probability, deadline and cost impact are left for the team to rate. Teams start identifying risks from what earlier projects learned, and because every risk links back to a real lesson, they can see exactly why it matters.
Create risks with full control
The project manager chooses to create the first three risks. Before anything is added to the project, Prisma presents the changes for approval, listing the three risks it is about to create on R&D-004. Once approved, the risks are created as open and unrated, ready for the team to assess. The project manager decides which suggestions are relevant, and nothing reaches the project plan without their sign-off.
Review risks alongside the existing register
Prisma then opens the risk view for R&D-004 next to the conversation. The three new risks appear in the project's register alongside the existing ones, tagged as AI-generated and reflected in the risk matrix. From there, the team can rate them, assign owners and plan mitigation actions in the tools they already use. Lessons from past projects now shape the plan from day one, giving the team the chance to act on known risks before they turn into delays, rework or cost overruns.
What Prisma brings to project teams
- Search lessons learned in plain language and find relevant insights from past projects in seconds.
- Turn recommendations from previous initiatives into concrete, project-specific risks.
- Keep every risk traceable to the lesson it came from, so teams understand why it matters.
- Stay in control, with every new risk waiting for your approval before it is created.
- See AI-generated risks directly in the project's risk register and risk matrix, ready to be rated and mitigated.
- Identify risks earlier and reduce the chance of repeating avoidable mistakes.
