Case Study · Workshop & Concept Direction

Synthesis Turning a six-billion-dollar dashboard
into a decision workspace

A reframe of how NielsenIQ category managers worked with sales-intelligence data, run as a workshop with serious prework and a concept that reads at a glance. It also looks at how I would run the same engagement today with AI inside the loop.

Client NielsenIQ (Nielsen) Role VP, User Experience Codename Synthesis Period 2019 – 2021
Synthesis overview screen showing Jesse's Desk with category cards and key metrics
Final direction: Synthesis moved the product from dense reporting to a decision workspace, with high-level signal first and drill-down only when a manager needed it.

The Problem

Half of NielsenIQ's revenue came from CPG sales-intelligence data. The reporting put everything on screen at once. Category and field managers gritted their teeth and used it because the data was indispensable, but the interface didn't match how they actually decided.

The Approach

Run a cross-functional workshop, but treat prework as the work — interviews, workflows, journeys, competitive context — so kickoff felt like refinement, not a cold start. Cross-pollinate teams. Push past polished but conservative ideas. Land a concept the team could defend and ship.

The Outcome

A decision workspace built around heat-mapped categories, drill-in performance, and density that scaled from a few hundred variables to nearly a thousand without losing scannability. Three-screen concept handed to engineering for build and to leadership for go-to-market.

Before / After

The redesign was not about making charts prettier

The original interface showed the data, but it did not make the decision obvious. The Synthesis direction gave category managers a place to start, a way to scan, and a clear path into the detail.

Before: everything at once. Useful data, weak hierarchy.
Synthesis overview screen with clean metrics and category cards
After: overview, category signals, then drill-in.

Inside the workshop

Pre-work is the work

Walking into a kickoff with empty walls and warm coffee is a wasted week. The pre-work — expert interviews, field conversations with category managers, journey and empathy maps for specific decision moments — sets the standard before anyone sits down. The kickoff should feel like revision, not introduction.

Then
  • Stakeholder and SME interviews summarized into briefs.
  • Empathy and journey maps anchored to specific use cases.
  • Sticky notes, decks, screenshots — synthesis carried in the facilitator's head.
With AI today
  • Pre-work catalogued, aggregated, and synthesized — not scattered.
  • Briefable workspace: the model already knows the participants, audience, and constraints, so questions don't need to retrain it.
  • Model-deployment strategy by phase (Cursor / Figma Make / Claude / GPT) instead of one tool for everything.
Miro board showing Nielsen empathy maps and journey maps
Personas and journey maps: decision moments were mapped before any interface decisions were made.
How Might We synthesis board from the Nielsen workshop
Synthesis board: turning raw workshop input into prioritized questions.

Teams that show up with opinions, then change their minds

Cross-functional teams arrive with takes shaped by the prework — so the conversation starts with substance. The trick is then cross-pollinating: rotating people, forcing teams to build on each other's ideas instead of defending their own.

Then
  • Opinionated, collaborative cross-functional pods.
  • Decisions made between sessions; some threads quietly lost.
  • Concepts illustrated as static frames between meetings.
With AI today
  • Real-time decisioning during the session — fewer ideas dropped between sessions.
  • Working prototypes in minutes, even rough, so the conversation has something to react to.
  • Cross-team patterns and hybrid directions surface as participants work, not after the readout.
Cross-functional workshop team structure and collaboration model
Team structure: cross-functional groups came in prepared, then rotated ideas across teams so ownership did not trap the solution.

Concepting: get past the polished safe answer

Three things go wrong in concepting if you let them. Teams iterate conservatively when there isn't time. The most polished sketch wins because it's the most polished, not because it's the best. And once you generate a lot of ideas, most of them quietly disappear.

Then
  • Manage time so a few directions get fully explored — at the cost of breadth.
  • Senior facilitators counter polish bias by rotating critique.
  • Ideas captured in artifacts; some still leak away.
With AI today
  • Breadth and refinement at the same time — pair every team with a tuned model.
  • Polish bias rebalanced: the rough idea can be made tangible enough to evaluate without a senior designer's hand.
  • Lower-cost iteration means fewer ideas get cut for triage reasons.
Retail Design Thinking Sprint board showing heat-map concept iterations and task flows
Exploration: multiple directions surfaced, but the heat-map pattern best matched how category managers scan for risk and opportunity.

The shape of the answer

The first round of designs were polished versions of the chaos we'd inherited — that's normal. We went back, sketched, questioned the data viz, and asked what category managers actually do all day. They aren't in love with a 48-ounce bag of frozen peas. They want to know, at a glance, where the business is bleeding and where it's working.

That landed us on heat maps: green for healthy categories, red for the ones that need attention; filterable by performance; drill-in to interrogate any one cell. Density mattered. We tested layouts at 290 variables and again at 954 — both still scannable. The system held.

The final direction, which we called Synthesis, was a card-and-dashboard pattern: choose a card to open the dashboard for that book of business, then drill into charts beneath it for depth. Three screens, handed off for engineering build and for leadership to use as the go-to-market story.

Synthesis Jesse's Desk overview screen
Overview: business health by category.
Synthesis dashboard showing market overview and selected Tough Guy brand
Dashboard: category scan plus selected brand context.
Synthesis detailed waterfall chart and table view for selected brand
Drill-in: explain the movement without losing orientation.
Then
  • Static three-screen concept built for handoff and stakeholder buy-in.
  • Sales narrative and engineering brief assembled separately.
With AI today
  • Working prototype with real data in 7–10 days — the same compression I've been running at Arity for sales and go-to-market demos.
  • Senior leadership engages with the artifact, not the deck. Easier sharing across the org, and a faster path to "what do we change next."

Testing

The concept tested well, but the sample was limited and the friction we saw was on click states and interactive behavior — exactly the kind of feedback you can't fully address with static screens. With a working prototype today, that loop changes shape.

Then
  • Iterative usability with a week between rounds.
  • Friction surfaced, but interaction-level fixes waited for the build.
With AI today
  • Real-time iterative usability with a captive audience — adjust, retest, lock down what works.
  • Synthesis tools (e.g., Marvin at Allstate) read transcripts for themes, keywords, and patterns across sessions, so insight scales beyond the moderator.
Workshop validation and usability test analysis board
Validation: the concept tested well, with friction centered on interaction details that would be better tested in a functional prototype today.
Personas & journey maps shaped before kickoff Heat-map decision surface for category managers Density tested 290 → 954 variables Three-screen concept handed to engineering & GTM