Scaling a B2B Workflow for Enterprise

As founding UX engineer on a B2B sustainability platform, I redesigned a core service workflow, shifting consultants from back-stage setup to client-facing deliverables and helping the business close a large deal with a global electric vehicle manufacturer.

Role: UX Engineer (Founding team) | Scope: UX Research · Service Design · Product Design · Front-end Dev | Company: Minviro

Problem

A core task that broke at scale

The platform's main workflow requires users to connect thousands of items to the right reference sources. Think of it like tagging every row in a massive spreadsheet, one by one. For small projects, this worked. It wasn't built for enterprise scale.

Through session recordings in PostHog, demo observations, and stakeholder interviews with the consulting team, I identified mapping as the service delivery bottleneck, the back-stage work gating every client engagement:

10,000

rows in the largest enterprise projects

~40 hrs

of manual configuration per project

1 by 1

every row configured individually, no bulk actions

A key requirement for closing a large deal with a global electric vehicle manufacturer: the prospect needed confidence the platform could handle their scale before signing.

Key Decision

Replacing repetition with a single action

The same materials appear across dozens of projects, yet every new project required connecting them from scratch. I designed mapping presets: reusable templates that operationalise expert judgement, turning tacit consultant knowledge into shared service infrastructure the whole team can apply in seconds.

Create or extract. Build a preset from scratch, or extract one from an existing project. An expert's mapping decisions become a reusable asset.

Apply with clear feedback. Select a preset, apply it to a project. The system matches by name, unit, and region, then shows exactly what matched, what didn't, and why.

Scalable to 10,000+ rows. Multiple presets can be layered onto a single project, including custom supplier data. Works at enterprise scale without compromising user control.

Outcome

Two weeks → one hour.

90%

reduction in project setup time

3×

more projects delivered with the same team

£18,000^*

saved annually in consultant hours freed for billable work

The workflow that was blocking enterprise adoption became a selling point in demos, landing a large deal with a global electric vehicle manufacturer. Consultants who spent days on manual setup now start delivering value immediately, turning hours of configuration into recoverable billable time.

With the bottleneck gone, consultants now spend their days on the actual deliverable: impact breakdowns, hotspot analysis, and supplier comparisons that clients pay for. The redesign rebalanced the service: hours of back-stage configuration moved into front-stage analysis.

Process

How I built it

I owned research, PRD (Product Requirements Document), and design end-to-end, and contributed directly to front-end development. I built an AI-assisted design workflow on Figma MCP and custom Claude Skills to keep Figma and code in sync, smooth hand-offs, and prevent the drift that usually creeps in between design and implementation.