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Case study 03 / 04

Alumo
referral rewards

The short version

Alumo’s cheapest way to win customers was leaking. People referred their friends and then heard nothing, and some stopped referring. I traced it to a matching defect, then redesigned the journey from the advisor conversation to payout, across a referrer portal and an office dashboard.

Role
Product designer: research, flows, design system and both products
Team
The referrals admin, finance and a developer
Timeline
A quarter of discovery, then design from late September
Status
High-fidelity and ready for handoff. Usability testing next.
Referrer portal home: total paid so far and every referral’s status
Referral detail: a progress tracker from the first call to switch-on
Payout sent: R1,850 paid, with date, account and reference

1,030

repeat referrers in the research segment

5

referral programmes studied

111

high-fidelity screens

2

products: referrer portal and office dashboard

01

The problem

People referred their friends, then heard nothing.

I segmented the client database down to the 1,030 clients who had referred two or more people, the ones with the most experience of the programme. Then I sent them a short survey on WhatsApp, written around what they had actually done, not what they thought they might do.

Every respondent said they had to contact Alumo themselves to find out what was happening. Several said they had held back from referring again. For the cheapest acquisition channel Alumo has, that is a direct, measurable cost.

Finding 01

No visibility

Referrers didn’t know whether a referral had been received, was being processed or had been paid.

Finding 02

Wrong answers

When they did chase an update, the information they got was often inaccurate.

Finding 03

One person holding it together

One referrer only heard about the portal from her advisor. When that advisor left Alumo, nobody picked up the thread.

Finding 04

Rejected without a reason

Referrals were declined with no explanation. Some may have been made before the client was ready in Alumo’s system.

Honest about the sample

It was a small number of responses, so I treated them as strong directional signals rather than proof, and presented them that way.

Not a design problem

One respondent felt the 1% reward should be far higher. That’s a business decision, not a flow problem, so I flagged it to the people who own the reward structure.

02

The root cause

The portal was failing to match people.

I followed the complaints back through the system to a matching defect. When a referrer’s details didn’t line up exactly with the client record, the referral failed, and the referrer had no way of knowing.

Documenting the root cause meant the identifier could be fixed in the live portal on its own, before any redesign shipped.

ReferrerReferral submitted
PortalDetails don’t match the record
SystemReferral fails
ReferrerNo update. The referrer calls Alumo.

In the redesign

Unmatched referrals land in a Needs matching queue for the office team, instead of disappearing.

Office dashboard: a referral whose details don’t match Zoho, with possible leads to relink it to

03

The research

Five programmes. One question: how do they keep referrers in the loop?

I studied how five established referral programmes handle status and payouts. Not just the marketing version: I went looking for the real friction in reviews and complaints, so we could avoid other companies’ mistakes as well as copy their successes.

Revolut’s weak spot mirrored ours almost exactly. The submission works, but nothing tells you anyone received it, so people fill the silence themselves.

Question 01

How does the referrer find out it was received?

Question 02

How is progress shown while it’s in process?

Question 03

How clear is the payout, and when do they find out?

Question 04

Where does it fall short, according to real users?

04

The flow

Start the journey at the advisor conversation, not the form.

The findings and the research went to leadership. That session surfaced problems no screen could fix on its own: who owns the portal, a dependency on a third-party vendor and the payout logic. All three went into the redesign direction.

I mapped the current journey with its emotional low points, then reworked the full flow from the advisor conversation to payout, matched to the real Zoho pipeline stages and the identifier fix.

  1. 01Referral received
  2. 02Assessment booked
  3. 03Quote issued
  4. 04Contract signed
  5. 05Installed
  6. 06Paid out
Added to the lifecycle

Unsuccessful, with a reason

A clear decline state, so nobody is left guessing why a referral didn’t go through.

Added to the lifecycle

A fallback for awareness

The programme no longer depends on one advisor remembering to mention it.

The reworked referral user flow, from system installed and the advisor conversation through onboarding, referring, tracking, outcome and payout
The reworked referrer flow, from first contact to payout.

05

Agreed or to confirm

Never let a proposal look like a decision.

Every design choice had to trace back to a source: the meeting minutes, the programme terms or the research. Some rules were agreed. Others were still open business decisions waiting on the referrals admin and finance.

So I built a convention into the file. Agreed rules are solid. Anything still open sits in a dashed “to confirm” component, so a developer can never mistake a proposal for sign-off.

Agreed

  • A 1% reward, capped at R15,000
  • Portal access once the referred person signs
  • Bank details in the referrer’s own name

To confirm

  • When a payout is triggered
  • How long a referral stays valid
  • I checked the dashboard flow against the agreed rules and reverted proposals that had drifted from them.

06

The referrer portal

Answer “what’s happening?” before anyone has to ask.

A mobile-first website, designed screen by screen against the survey findings: every referral confirmed, every stage visible, every decline explained and the payout made obvious.

I built the design system from scratch first, with colours, type and spacing as variables and components for buttons, forms, navigation and charts, then used it for every screen. A handoff pass put everything on auto layout and tokens for the developer.

Refer someone screen

01 Refer someone

A short form, and the number is checked before it’s sent.

Home screen

02 Home

Earnings and every referral’s status at a glance.

Referral detail screen

03 Referral detail

A tracker from sent to paid, with a way to ask a question.

Unsuccessful screen

04 Unsuccessful

Always a reason. Never silence.

Payout sent screen

05 Payout sent

The peak of the journey, designed on purpose.

07

The office dashboard

The other half of the promise: a dashboard for the people who keep it.

The referrals admin is the primary user. I critiqued the legacy admin tool against usability heuristics, then built the information architecture from her complaints and the meeting minutes.

Payouts follow the approval rules finance set, and referrals that break the programme rules are blocked with the reason on screen.

Office dashboard: Overview
Overview

What needs attention today, before anything else.

Office dashboard: Blocked referral
Blocked referral

The rule that blocked it, shown on the record.

Office dashboard: Payout check
Payout check

A checklist before anything goes for approval.

Office dashboard: Needs matching
Needs matching

Where the old defect now gets caught and fixed.

08

Where it stands

Designed. Next, watch real referrers use it.

Discovery alone produced a validated problem statement, a reusable research asset and a documented root cause that can fix the live portal on its own, whenever the redesign ships.

Next comes a prototype, usability testing and developer handoff. The survey respondents are already identified as the first test group, and the measure that matters is the share of Alumo’s leads that come from referrals.

Contact

Let’s work
together.

Open to product design and UX roles, remote or in-house. The quickest way to reach me is email.

timothyenricomoses@gmail.com
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