Persona to patterns
Unlocked a unified understanding of warehouse managers’ workflows, influencing 3 roadmap priorities.
Problem Statement
The company relied on fragmented tribal knowledge and siloed personas, with no shared view of cross-product flows. Insights were undocumented, inconsistent across markets, and rarely shaped product decisions. In logistics, a generic “user” doesn’t work as the workflows shift with culture, infrastructure, and regulations. Without a scalable, evolving system of user understanding, products missed context, causing failed features, low adoption, frustrated clients, and costly rework.
Approach & Aim
Hypothesis
A library switch + user-informed redesign + participatory internal challenge will increase adoption and engagement |
Goal
Identify product gaps, gather user-informed feedback, improve adoption, detect bugs faster, align cross-functional teams
Scope
In scope: library evaluation, design improvements, internal challenge. Out of scope: external feature roadmap beyond grid view
Key Insights
MUI library provided a closer match between code and design, enabling faster iterations
Data-backed decisions from heuristic analysis ensured design aligned with user needs
Internal engagement through the “Great Grid-Off” surfaced unexpected bugs and improvement suggestions quickly
Cross-functional participation increased alignment and awareness across the organization
Impact
Business Outcome
21% adoption in first 3 months, improved bug discovery, faster iterations, clearer product-market fit insights
Team Outcome
Engineers, PMs, and design teams aligned on design priorities and adoption goals
Stakeholder Outcome
Better cross-team collaboration, mindset shift towards participatory validation, faster feedback loops