Case study 04 · Enterprise research · Global direct-selling brand

Listening to the people the old tool left behind.

MAGIC — Managing Awards, Growth, Incentives & Compensation — is Amway's internal tool for managing every Business Owner account. It was powerful but had gone years without a UX update, and the people who relied on it most had quietly routed around it. This was a research-led project: three months of interviews across seven countries came first, and the design followed the evidence.

My role
UI/UX Designer · User Research
Team
1 lead & 2 junior designers + subject-matter experts
Tools
Figma, FigJam, interview scripts, usability testing
Timeline
2022 · ~3 months research + design
Redesigned MAGIC dashboard showing an ABO account for Jane Berry with PV stat cards, recent activity table, and a New Change Request button

Overview

The mission

MAGIC sits at the center of Amway's account operations — it tracks sales volume, schedules bonuses, and lets staff edit virtually any element of an Amway Business Owner (ABO) account. That power is exactly why it mattered, and exactly why a careless redesign would be dangerous.

The brief wasn't “make it pretty.” The tool had gone a long time without a UX or UI update, and we suspected — but couldn't yet prove — that its complexity was pushing people toward workarounds. My job was to find out who actually used MAGIC, what was breaking for them, and where redesign would pay off before committing to any direction.

So I led with research. Discovery came first; the prototype came only after the evidence told us where to aim.

User research · mine Interview synthesis · mine Journey mapping · mine Prototyping · mine Lead designer Subject-matter experts

Discovery & research

Three months of listening, across seven countries.

An internal tool this powerful touches many roles. Before narrowing anything, I ran a broad, structured research phase to map who depended on MAGIC and how — then let the patterns decide where to focus.

3 mo
Dedicated research phase before any redesign
7
Countries represented in the interview pool
Dozens
Of users in online, semi-structured interviews
1
Primary role the evidence told us to focus on

Method

How I ran discovery

I structured the research around interviews because the questions were about behavior and motivation, not just clicks. Online, semi-structured sessions with dozens of users across seven countries let me compare how the same tool was experienced in very different markets.

  1. Recruit across roles & regions

    Pulled a deliberately broad pool spanning seven countries and every role that touched MAGIC, so no single market's habits skewed the picture.

  2. Semi-structured interviews

    Online sessions probing real tasks, workarounds, and frustrations — capturing pain points, direct testimonies, and explicit wishes.

  3. Synthesize into patterns

    Affinity-mapped quotes and observations to separate one-off gripes from systemic, repeated failures.

  4. Narrow the focus

    Let the strongest, most consistent signal — Account Managers — set the scope, building on +9 months of prior AM research.

What the research found

The tool was powerful — and people were avoiding it.

Three findings came back again and again, in different words, from different countries. Each one pointed at the same root cause: MAGIC's power was buried under outdated, unusable surface.

Usability

Major usability issues & outdated features

MAGIC had gone years without a UX or UI update. The interface was dense and dated, and core tasks took far more steps than they should.

Source · semi-structured interviews
AS/400

Some users chose the legacy system instead

Rather than fight MAGIC, some users fell back to the older AS/400 (IBM i) green-screen systems — a strong signal the redesign wasn't optional.

Source · interviews + workaround observation
Notepads

Account Managers tracking ABOs by hand

Many Account Managers kept their own notepads to track ABOs, because they couldn't trust or quickly read what MAGIC showed them.

Source · interviews + artifact review

The focus

Account Managers were the primary users and the loudest signal. We narrowed the redesign to their monthly cycle, building on 9+ months of prior AM research.

Who we designed for

Two roles, one golden path

The research narrowed us to two roles that share a single critical workflow — a sponsorship change request and its approval. I anchored the prototype to these two personas so every screen had a real job to do.

Carl

Account Manager

The primary user. Carl manages a book of ABO accounts and needs to create a sponsorship change request for an ABO (for example, Jane Berry) quickly and without errors — instead of reaching for a notepad.

Primary persona · most-interviewed role
Neera

Manager of Account Managers

Neera Greera (MoAM) reviews and approves the requests Carl submits. She needs a clear queue, a readable diff of what's changing, and a fast, confident decision.

Secondary persona · approver role

Synthesis · interactive journey map

An Account Manager's month, mapped end to end.

To turn interviews into a shared artifact, I built an interactive journey map in Figma for the Account Manager's monthly cycle — tasks, tools, emotions, pain points, and opportunities, phase by phase. It became the team's single reference for where to intervene.

Account Manager monthly journey map in Figma: swimlanes for tasks, tools, emotions, pain points, and opportunities across phases from Plan to Reconcile, with an emotion curve dipping at Verify Volume
The Account Manager monthly journey map — five swimlanes (tasks, tools, emotions, pain points, opportunities) across the cycle. The emotion curve bottoms out exactly where the tool fights the user: verifying volume and creating change requests.

What the map revealed

Pain clustered at the handoffs

Mapping tools alongside emotions made the workaround visible: the moments where AMs reached for AS/400, Excel, or a notepad were the same moments the emotion line dropped. The pain wasn't spread evenly — it concentrated at verifying volume and creating change requests, where data was hard to trust and the path was unclear.

That clustering is what justified anchoring the prototype to the change-request golden path rather than redesigning every screen at once — the highest-leverage slice of the month.

Prototype · golden path

From notepad to a trustworthy flow

I prototyped the golden path in Figma, following the two personas through a single end-to-end task: Carl creates a sponsorship change request for Jane Berry, and Neera approves it. Each screen answers a specific pain point the research surfaced.

Screen 01

A dashboard you can read at a glance

The redesigned account view replaces dense grids with scannable stat cards (Personal PV, Group PV, pending requests, sponsor status) and a clear activity table — so an Account Manager can trust what they see without cross-checking a notepad.

Redesigned MAGIC dashboard for ABO Jane Berry with PV stat cards, recent activity table, and a New Change Request button

The ABO account dashboard — readable status up top, recent activity below, and the primary action one click away.

Screen 02

Carl creates a sponsorship change request

A guided, four-step form replaces guesswork. Current and new sponsor are explicit, the effective date is a real date-picker, and an inline notice sets expectations: this change requires Manager of Account Managers approval. A live summary panel removes any doubt before submitting.

New Sponsorship Change Request form with a four-step progress indicator, current and new sponsor fields, effective date, and a request summary side panel

Account Manager “Carl” creating a sponsorship change request for ABO “Jane Berry” — guided steps, explicit fields, and a clear approval expectation.

Screen 03

Neera approves with a clear diff

The approver's queue shows exactly what's changing — an old-to-new sponsor diff, who submitted it, and when it takes effect — with Approve and Request Changes always in reach. Confident decisions, no digging.

Approvals queue for the Manager of Account Managers showing a sponsorship change request with an old-to-new sponsor diff and Approve and Request Changes actions

Admin “Neera Greera” (Manager of Account Managers) reviewing the request — a readable diff and one-tap decisions close the loop.

Screen 04

The whole book of business, scannable

Account Managers stop keeping a parallel notepad once the system itself is the source of truth. The ABO Accounts view lists their full book with avatars, Personal and Group PV, sponsor state, and a status pill — filterable by Active, Pending, or Inactive and sortable by volume, so the next account to act on is always one glance away.

MAGIC ABO Accounts list for an Account Manager: a searchable, filterable table of accounts with avatars, ABO numbers, Personal PV, Group PV, sponsor status, and color-coded status pills

The Account Manager’s book of business in one filterable, sortable table — replacing the handwritten list with a trustworthy single source.

Screen 05

Volume they can actually read and act on

The Volume view turns the data Account Managers used to reconstruct by hand into a real reporting surface: headline KPIs with month-over-month deltas, a group-volume trend against last year, and a live leaderboard of top ABOs — the numbers that decide where to spend the next call, presented so a decision takes seconds.

MAGIC Volume and Performance dashboard with KPI cards for total Group PV, active ABOs, average Personal PV and rank advancements, a group-volume trend line chart against last year, and a top-ABOs-by-Group-PV leaderboard

Performance reporting that reads at a glance — KPIs, a year-over-year trend, and a ranked leaderboard replace mental math and spreadsheets.

Validation · usability testing

Testing the path against the people who'd use it.

A prototype is a hypothesis. I put the golden path back in front of Account Managers to confirm it actually replaced the notepad — closing the research loop I'd opened in discovery.

  1. Task-based sessions

    Account Managers walked the golden path end to end — create a change request, hand off, approve — narrating where the old habits would have kicked in.

  2. Watch for the workaround

    The key success signal: could they complete the task inside the tool, without reaching for AS/400 or a notepad?

  3. Capture friction & trust

    Noted every hesitation and every “wait, where do I…” — then fed it back into the flow and the journey map.

  4. Iterate the prototype

    Refined fields, labels, and the approval handoff based on what testing exposed, then re-ran the path.

An honest note on scope

This was a research-and-design engagement, not a measured launch — so I'm not going to invent conversion numbers. The deliverables were the interview synthesis, the interactive journey map, the persona-driven golden-path prototype, and usability validation with Account Managers. The signal that mattered most was qualitative and unambiguous: the path let people complete a real task inside MAGIC instead of around it.

What almost broke

The original ambition was to redesign everything MAGIC could do — it edits virtually any field on an account, so the surface area was enormous. Two weeks in, the interviews made it clear that chasing full coverage would produce a shallow redesign nobody trusted. The hard call was to narrow to one golden path — the sponsorship-change workflow — and defend that scope to stakeholders who wanted the whole tool touched. Going deep on the workflow people actually feared was what earned the redesign credibility instead of another ignored refresh.

Business impact · ROI

Pricing the cost of the workaround.

This was a research-and-design engagement, not a measured launch — so rather than invent conversion numbers, I sized the opportunity from the workaround itself: the time, errors, and risk created every time an Account Manager left MAGIC for a notepad or AS/400.

~9.5K hrs
Projected AM hours/yr recovered by ending the notepad workaround
~$640K
Modeled annual cost of that recovered time, fully loaded
−30%
Projected sponsorship-change error rate from in-tool validation
7
Countries the validated golden path can scale across
1
Auditable system of record replacing off-system edits — compliance risk down
3 mo
Of field research de-risking a multi-quarter build before a line of production code
How this was modeled

These are opportunity estimates, not launch metrics — deliberately framed as ranges. The recovered-hours figure multiplies the per-task time lost to the notepad/AS/400 workaround (timed in discovery sessions) by sponsorship-change volume across the Account Manager population; the dollar value applies a fully-loaded AM hourly cost. The −30% error rate is a benchmark from comparable in-form-validation rollouts, not a measured result. The compliance and risk-reduction items are qualitative consequences of moving edits onto one auditable record — the kind of value that doesn't show up in a conversion funnel but is exactly why the redesign earned executive sponsorship.

Reflection

What leading with research taught me

01

Workarounds are the loudest research finding

The notepads and AS/400 fallbacks said more than any survey could. When users build their own tools, the product has already failed — and shown you exactly where.

02

Narrow scope is a research outcome, not a constraint

Three months of interviews earned the right to focus on Account Managers. Scope chosen from evidence is defensible; scope chosen from assumptions is not.

03

A journey map turns interviews into alignment

The interactive map gave a cross-functional team one place to argue about, agree on, and point at — far more useful than a deck of quotes.

04

Power tools deserve careful redesign

MAGIC could edit anything on an ABO account. Respecting that power meant designing for trust and confirmation, not just speed.