B2B SaaS Real estate data UX strategy

Product Discovery & UX Strategy

Building a UX practice from scratch - strategy, discovery with leadership and a design system for a multi-product B2B platform.

My Role: Lead Product Designer (design function of one)
Timeline: 2024 - 2025
Company: Wüest Partner Group - real-estate data, valuation & analytics
Deliverables: UX Vision & Strategy, Discovery Workshops, Design System, Design Metrics, 3 Products

Overview

Wüest Partner is one of Switzerland's leading real-estate data and valuation companies, with a growing ecosystem of digital products for portfolio management, sustainability and data onboarding. As the sole designer across this ecosystem, I owned far more than screens: I led discovery on ambiguous new initiatives, designed three data-heavy platforms end-to-end, built the design system that unifies them, and elaborated the UX vision for the product organization.

Solodesign function for the whole product ecosystem
3platforms designed end-to-end
1design system across every product
Part 01 / 04

Product Discovery

How open questions became directions everyone could commit to.

Discovery with Leadership - From Ambiguity to Direction

The most valuable work started without a brief: a new module or a new client need. I ran Double Diamond discovery workshops with product managers, domain experts and engineers - and my job was to turn that ambiguity into a direction everyone could commit to.

The toolkit stayed deliberately light: workshops that map jobs-to-be-done and decision points, open questions re-phrased into challenges with a success metric attached, and quick, throwaway prototypes, so leadership could react to something real instead of debating abstractions.

01 Open question A new module, a client need or an AI capability - no brief yet.
02 Discovery workshop Double Diamond with leadership and domain experts: jobs-to-be-done, decision points, constraints.
03 Re-phrased challenge One problem statement everyone signs off on, with a success metric attached.
04 Throwaway prototype Quick and often AI-built, so leadership reacts to something real.
→ A shared direction everyone can commit to
Re-phrasing an open question into a challenge

As a audience I want to goal so that I can benefit, as measured by success metric. Currently, I'm unable to do this because problem.

In the room Chief Product Officer Chief Security Officer Product managers Domain experts

The Operating Model

Discovery is woven through every phase of delivery - from the first framing of a problem to a validated solution running in production. Each phase pairs divergent exploration with convergent decision-making.

Problem or opportunity Challenge re-phrased Prototype Live solution
UNDERSTAND
Problem discovery
IDEATE
Solution discovery
IMPLEMENT
Implementation discovery
discovery working on a solution

Four Roles, One Table

The operating model puts four roles at one table for product discovery - product manager, product owner, tech lead and design lead - so business, product, technical and user perspectives shape every decision from the start. As design lead, I brought the user's perspective to that table.

Product Managerbusiness perspective
Product Ownerproduct perspective
Tech Leadtechnical perspective
My roleDesign Leaduser's perspective
the four-legged stool of product discovery

Discovery in Practice

Two products show the approach end to end: a fund-planning tool that started as a blank page, and a rent-roll module shaped with nine stakeholders in three months.

AI in the Double Diamond

Rapid AI prototypes became part of my discovery toolkit. Mapped onto the Double Diamond, they move the first clickable prototype from the end of a weeks-long process to the very beginning - while people stay essential for validation and alignment. Hover a phase for details.

Discovery Without AI ∼4-6 weeks
Idea
Idea day 1

A problem or an opportunity lands on the table.

Insight
Insight 1-2 weeks

Interviews and data analysis bring new insights that redefine the problem.

HMW
How might we a few days

The challenge is re-phrased into questions the team can ideate on.

Ideation
Ideation 1 week

Workshops produce a long list of ideas, then a selection.

Sketch
Solution sketch 1 week

First visualizations of the selected idea.

Prototype
First prototype week 4-6

High fidelity arrives last - and the idea is still not validated.

High fidelity comes too late - feedback is expensive to act on
AI-Enhanced Discovery ∼hours to a prototype
Discover
Discover hours, not weeks

AI shortens the time to first hypotheses - but they still need critical validation with real users.

Define
Define workshop pace

AI speeds up narrowing down - human facilitation stays key to aligning stakeholders.

Develop
Develop minutes per draft

The gap between ideation and prototyping collapses; iteration cycles become dramatically faster.

Deliver
Deliver validated first

Late-stage friction drops - as long as every prototype is paired with real-world validation.

Validate before you commit - the Double Diamond, with AI in every phase
hours from concept to feedback, instead of weeks
0 cycles committed design cycles before the idea is validated
4 phases of the Double Diamond, each faster - and still human-led
impact of using AI in product discovery
Next part 02Fund Management