Phase 2 (structural works) of the Brussels North residential complex — 120 apartments, 18-month programme. Delivered 3 weeks ahead of schedule but 4% over budget due to unforeseen ground conditions. No safety incidents recorded.
| Recommendation | Priority | Owner |
|---|---|---|
| Reduce geotechnical borehole spacing to 15 m for clay-risk sites | High | Sophie Petit |
| Include procurement in design review meetings from concept stage | High | David Lefevre |
| Expand prefabrication to MEP risers on future residential projects | Medium | Emma Hurteaux |
Give project and operations teams a structured format for documenting insights from completed projects, incidents, or initiatives. This template captures what went well, what went wrong, root causes, and recommended actions — so the organisation learns from experience rather than repeating mistakes.
Try now in EliumA lessons learned template is a structured document for recording the key insights from a project, initiative, or incident — including what went well, what went wrong, why it happened, and what the team recommends doing differently next time. It turns experience into organisational knowledge that future teams can access and apply.
Most organisations repeat the same mistakes because lessons are never captured — or captured but never found. Project teams move on to the next delivery, and the knowledge from what they just completed stays in their heads. A standardised template ensures that lessons are documented consistently, stored where others can find them, and structured in a way that makes them actionable rather than anecdotal.
This template is for teams responsible for continuous improvement:
The template has two parts: structured metadata fields and the lessons body.
Metadata fields classify each document:
Lessons body captures the full analysis:
Capture faster. Paste your meeting notes, retrospective boards, or email discussions into Elium’s AI. It categorises feedback into successes, failures, and recommendations — so the facilitator organises rather than transcribes.
Retrieve smarter. A project manager starting a new construction project asks Elium’s AI: “What lessons did we learn from the Lyon metro tunnelling phase?” The AI returns the specific successes, failures, and recommendations from that project — so proven improvements are applied from day one.
Lessons learned sessions happen — but the documents they produce often disappear. They are filed in a project folder, never tagged, and never found by the next team facing the same challenge. Elium solves this by making lessons searchable and contextual: structured templates ensure consistency, tags and metadata make lessons discoverable, and AI-powered search lets anyone find relevant experience from a plain question.
Bouygues Construction — 53,500 employees across 80 countries — uses Elium to centralise project knowledge including lessons learned, procedures, and best practices. When a team in one country encounters a challenge, the solution from a previous project in another country is one search away.
Related reading: Read more on our blog
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