Product, data & AI · Citeo

SKU PROJ-001 · Release 2024 to 2025

Product, data
& AI

Product design Data AI

At Citeo, a solid product team that had stopped pulling in the same direction. A shared design system, written decisions, user feedback plugged in continuously: 2 days saved per release.

2 days saved per release
1 week shaved off every feedback loop
5 → 8/10 team satisfaction, measured before/after

Spec sheet

Role
Consultant Product Designer & AI, across product design, AI and team strategy.
Goal
Realign the product team: shared design system, written decisions, continuous user feedback.
Duration
1 year and 5 months (2024 to 2025).
Team
Product Owners, developers, QA, data and designers, organized in squads.
Tools
Figma, Storybook, Piano Analytics, Screeb, Notion, Copilot, Notion AI, Figma Make.
Tracked indicators
Release lead time, feedback loops, team satisfaction (measured before/after).
Industry
Circular economy: Citeo.

The problem

In 2024, the product holds, the team doesn't. Squads bounce feedback around, POs, QA, devs and designers struggle to coordinate, and the same trade-offs get re-argued sprint after sprint. On the user side, procedures are still heavy. Data and AI are there, but nobody uses them to decide.

The method

01 Make design a shared language

The Figma files and team rituals were reorganised so feedback is written down and easy to find. Developers joined discovery from the start, and shared components were audited then adapted together. The Digital Factory design system joined Citeo's, and Storybook became the reference.

Citeo's design system: components and controls documented in Storybook

02 Listen, write, prioritize

User interviews were used to understand real usage and prioritise changes. The team picked up the habit of writing things down: every decision is documented, and PMs, devs and QA share the same memory. The roadmap now includes discovery and research phases.

A working board: notes, user journeys and documented decisions

03 Plug in data and AI

Piano Analytics (quantitative) and Screeb (qualitative) were migrated to feed the roadmap continuously. On the AI side, good practices were shared with product teams, and tools assessed and documented against IT security requirements (Copilot, Notion AI, Figma Make). Automations were also set up in internal tools.

Screeb, the user feedback tool we set up (vendor demo screen)

The outcome

Two days saved per release, feedback loops shortened by a full week, team satisfaction up from 5/10 to 8/10. It was built by many people and over time: the writing culture took several months to become a habit.

They said

Comfortable from discovery to delivery, Matteo turned fuzzy insights into concrete solutions. His curiosity and product vision brought the whole team on board.
Damien Duca · Product Director

Other drops

SKU PROJ-002 Espace Territoires · Citeo → SKU PROJ-003 Clearing · Gireve → SKU PROJ-004 Digital twins · CEA →

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