Product, data & AI · Citeo

SKU PROJ-001 · Release 2024 – 2025

Product, data
& AI

Product design Data AI

At Citeo, the eco-organization behind packaging recycling: aligning product, design and data to create a “one team” effect, with AI as a pragmatic lever, never a gimmick.

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.
Duration
1 year and 5 months (2024 – 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 picture is clear: heavy user journeys, squads struggling to collaborate (high volume of feedback loops, complex coordination between PO, QA, devs and designers), and underused data and AI. The product is solid, the team is misaligned. The goal fits in one sentence, simple to state, hard to achieve: one vision, one aligned team, tools to decide better and ship faster.

The method

01 Make design a shared language

Reorganizing Figma files and team rituals: communication becomes smooth, feedback systematically documented, traceable, transparent. Developers involved from discovery, shared UI components audited and adapted with front-end devs. The Digital Factory's design system converges with Citeo's, and Storybook becomes the common language.

The Citeo design system: components and controls documented in Storybook

02 Listen, write, prioritize

User interviews to understand real usage and prioritize product evolutions. A writing culture installed: every decision documented, a shared memory for PMs, devs and QA. The roadmap now includes discovery and research phases, a more mature, user-centered product approach.

The Citeo back-office: adding a user, Salesforce import

03 Plug in data and AI

Migration of analytics (quantitative) and feedback (qualitative) tools, Piano Analytics and Screeb, to feed the roadmap continuously. On the AI side: best practices shared with product teams, tools evaluated and documented against the CIO office's security requirements (Copilot, Notion AI, Figma Make), automations implemented in internal tools.

The Citeo declaration portal: tracking and validating declarations

The outcome

Two days saved per release, feedback loops shortened by a full week, team satisfaction up from 5/10 to 8/10. The “one team” effect was built collectively and over time: the writing culture took several months to become a team reflex.

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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