Simplifying

Complex Data

for Loyalty

How a UX designer untangled six interconnected data

systems inside Capillary's loyalty platform — making

powerful AI-driven insights accessible to every user,

at every level of technical ability.

ROLE

UX Research

FOCUS

Data Exploration

PLATFORM

CDP+ · Loyalty+

SCOPE

End-to-end research

500+

LOYALTY PROGRAMMES

30+

COUNTRIES

1ok+

TKNS/MINUTE

20%

TOP LINE GROWTH

04 — KEY INSIGHTS

What I found when I looked closely

5

CRITICAL FINDINGS

01

Stakeholder Interviews

CDP+, Loyalty+, and LDS surfaces operated independently. Users had to mentally piece together a narrative across disconnected modules — a task most gave up on entirely.

02

Marketers ≠ data scientists

Advanced features — SQL analytics, Scala queries, propensity models — were inaccessible to the programme managers who needed them most but lacked technical expertise.

03

The Nudge Framework went unnoticed

Despite being a flagship AI feature, users consistently missed Nudge recommendations. Buried in sub-navigation with no ambient or persistent presence in the interface.

04

Real-time data didn't feel real-time

The platform processes 10M+ transactions per minute, but dashboards refreshed on polling intervals — breaking the immediacy that fast-moving decision-makers needed.

05

LDS was powerful but untrusted

The proprietary Loyalty Delivered Sales metric had only 19% adoption. Its calculation was opaque — users couldn't understand or validate it, so they simply ignored it.

06 — THE UX APPROACH

From complexity to clarity: four design transformations

BEFORE

Disconnected dashboards across CDP+, Loyalty+, and LDS — no unified narrative layer connecting them for the user

BEFORE

Advanced AI features equally visible to all users — creating decision paralysis and cognitive overwhelm for non-technical staff

BEFORE

Nudge AI recommendations buried in sub-navigation — completely invisible, ignored, and never acted upon by users

BEFORE

LDS methodology completely opaque — users couldn't understand or validate the calculation so they simply ignored it

AFTER

Unified Loyalty Intelligence view with a single storytelling layer bridging all six data dimensions in one place

AFTER

Progressive disclosure: actionable summary for marketers first, full analytical depth on demand for data scientists

AFTER

AI guidance surfaces as an ambient daily companion — the first element a programme manager sees each session

AFTER

Transparent calculation with explainer tooltips, comparison scenarios, and methodology walkthroughs at every level

09 — CLOSING THOUGHT

Data tells

a story

Design makes

it legible.

The work at Capillary wasn't about adding features — it was about removing the distance between data and understanding. Every design decision was made in service of one goal: make the intelligence already inside this platform visible to the humans who need it.

DESINGED FOR

Where loyalty data meets
human understanding

DATA SIMPLIFICATION

TRUST BY DESIGN

PROGRESSIVE DISCLOSURE

ONMICHANNEL CDP

LOYALTY + PLATFORM

AI SURFACING

Work

About

Contact

Resume

Edwin Fernandez

05 — DATA INSIGHT

Feature adoption revelas

where the design problem lives

The most powerful features had the lowest adoption. This wasn't a training issue — it was a design legibility problem. The data existed; the path to it didn't.

88 %

CDA PROFILE

ADOPTION

19 %

LDS REPORTS

ADOPTION

GAP BETWEEN

BEST & WORST

CDP Profiles

88%

Loyalty Txns

82%

Campaign Mgmt

71%

Nudge FW

38%

aiRA / ML

29%

LDS Reports

19%

07 — DESIGN SOLUTIONS

Three solutions that unlocked the data

UNIFY

Loyalty Intelligence Dashboard

A single-pane view unifying transactional data, engagement signals, campaign performance, and LDS impact. AI-written plain-language summaries replace raw metric tables —

giving every user a coherent picture without analytical

expertise.

↑ Connected 6 previously siloed data sources into one coherent narrative

UNIFY

Nudge-First Interface Redesign

Moved the Nudge Framework from a buried submenu to a persistent daily recommendations panel. AI suggestions are now the first element a programme manager encounters each session — transforming the most underused feature into the most visible.

↑ Connected 6 previously siloed data sources into one coherent narrative

TRUST

LDS Transparency System

Redesigned LDS reports with a layered explainer system: progressive disclosure, contextual tooltips, comparison scenarios, and methodology walkthroughs — turning the most strategic metric from an opaque output into a trusted decision tool.

↑ Transformed LDS from an ignored number into an understood business tool

08 — SIMPLIFICATON FRAMEWORK

A repeatable pattern for

tamingdata complexity

The most powerful features had the lowest adoption. This wasn't a training issue — it was a design legibility problem. The data existed; the path to it didn't.

Don't simplify by hiding — preserve all data, layer its presentation

Lead with narrative, not numbers — AI translates metrics into meaning

Make AI ambient, not optional — embed intelligence into the default path

Build trust through transparency — show your working, always

RAW DATA LAYER

10M+ txns/min · CDP events · ML outputs

AGGREGATION LAYER

Unified profiles · Loyalty metrics · Campaign results

INSIGHT LAYER

Plain-language summaries · Trend detection · Alerts

ACTION LAYER

Nudge recommendations · One-click decision triggers

01 — THE CHALLENGE

Capillary's platform was

powerful but unreadable

Capillary Technologies powers 500+ loyalty programmes

across 30+ countries. Its CDP+ and Loyalty+ platform

generates vast amounts of customer, transactional,

and engagement data every second — but this data was

scattered across disconnected modules, siloed by system,

and not designed for human understanding.

"We have the data. We just can't see it."

— PROGRAMME MANAGER, ENTERPRISE CLIENT

PAIN POINT 01

Data lives in silos, not stories

CDP+, Loyalty+, and LDS operated as isolated systems. Users had to mentally connect fragmented dashboards to build any picture of programme health — a task most gave up on.

PAIN POINT 02

Technical barrier to AI insights

Advanced predictive features — SQL analytics, Scala queries, propensity models — were inaccessible to the non-technical marketing professionals who needed them most.

PAIN POINT 03

Lowest adoption for most powerful features

Nudge Framework adoption sat at 38%. LDS Reports — the most strategically valuable metric — had only 19% adoption. The more valuable the feature, the less it was used.

02 — DATA LANDSCAPE

Six dimensions of data. One platform.

Customer Identity

CDP+

360° profiles unified from POS, app, web, social. Deduplication and merge logic across every channel interaction.

Transactional Data

LOYALTY+

Points earned/redeemed, tier changes, basket-level purchase history. 10M+ transactions per minute in real-time.

Engagement Signals

ENGAGEMENT LAYER

Non-transactional signals: store check-ins, social shares, reviews, referrals, gamification, leaderboard interactions.

Campaign Performance

NUDGE FRAMEWORK

Real-time campaign effectiveness, offer uptake, and AI-generated Nudge recommendations for next-best actions.

Predictive & ML

NUDGE FRAMEWORK

Real-time campaign effectiveness, offer uptake, and AI-generated Nudge recommendations for next-best actions.

Financial Impact

LDS METHODOLOGY

Loyalty Delivered Sales — Capillary's proprietary methodology measuring incremental revenue attributed to the programme.

03 — RESEARCH & DISCOVERY

How I mapped the data universe.

A structured four-step approach to understand what data existed, how it flowed, and where it broke down

After platform audit,
I catalogued 6 core
data categories

1

Platform Audit

Heuristic evaluation of CDP+, Loyalty+, and the Analytics Dashboard. Catalogued every data point, metric, and visualisation exposed to users.

→ 60+ data touchpoints mapped

2

Stakeholder Interviews

Spoke with marketing managers, programme analysts, and C-suite sponsors. Identified which data was valued vs. which was

invisible.

→ 12 interviews conducted

3

Data Journey Mapping

Traced a single customer event from CDP → Loyalty → Nudge → LDS. Found 7 critical hand-off gaps where data became

invisible.

→ End-to-end flow documented

4

Opportunity Synthesis

Clustered findings via affinity mapping. Prioritised by user impact × business value × feasibility to define a clear design

direction.

→ 3 priority areas identified

60+

DATA TOUCHPOINTS

MAPPED

12

STAKE HOLDER

INTERVIEW

7

CRITICAL HANDOFF

GAPS FOUND

3

PRIORITY DESIGN

OPPORTUNITIES

08 — OUTCOMES & IMPACT

Connecting the dots changed how teams use data

500+

LOYALTY PROGRAMMES

ON THE PLATFORM

20%

TOP LINE GROWTH

UNLOCKED VIA LDS

4.1

FORESTER SCORE OUT OF 5

-HIGHEST OF ANY PROVIDERS

10+

INDUSTRY VERTICALS

SERVED GLOBALLY

Unified narrative layer

6 previously siloed data sources connected through a single storytelling interface, eliminating context-switching for programme managers.

Progressive disclosure framework

Non-technical users get summary insights; power users retain full SQL/Scala access — same platform, layered cognitive entry points.

AI made ambient, not optional

Nudge recommendations repositioned as a persistent daily companion — increasing AI-driven action without disrupting existing workflows.

LDS trust & adoption

Transparent methodology explainer transformed Capillary's most strategic metric from an opaque output into an understood and trusted business tool.