zero to 1

Unlocked a unified understanding of warehouse managers’ workflows, influencing 3 roadmap priorities.

Project type

Participatory, evaluative

Contribution

Evaluated libraries for feasibility, performed heuristic analysis, led data driven design changes, led internal engagement game, tracked adoption metrics

Timeline

3 months

Stakeholders involved

PMs, Designers, Engineers, SDETs, TAMs, CSMs, Leadership

Target User

External clients using the dashboard

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

Methodologies

Research Category

Participatory, evaluative

Methodologies

Heuristic analysis, participatory internal game, analytics tracking, surveys via Google Forms, adoption metrics via Pendo

Participants

Internal teams (engineers, PMs, SDETs, TAMs, CSMs); external clients for adoption tracking

Geography / Languages

Company-wide (internal), global client base (external)

Data Analysis

Affinity mapping for feedback, quantitative tracking of adoption via Pendo