Zing onboarding case study — conversion and journey optimisation

Onboarding

28% conversion boost through design-led product strategy

With the onboarding tribe and a senior product designer, I ran a design-led programme that tied funnel data, user testing, customer service and competitor benchmarks to a single prioritised roadmap. Once the prioritised improvements were in market, onboarding conversion improved by 28%; completion within 15 minutes rose from 40% to 57%, and within 48 hours from 80% to 90%. The outcomes section below shows the same trends in the charts.

Shipped work covered identity and compliance journeys, a structured new-user checklist, and iterative UX alongside product and engineering. On the highest-leverage flows we ran structured tests; several variants delivered clear lifts on activation and downstream value before we rolled the winners out more broadly.

Onboarding roadmapping

I facilitated cross-functional workshops with the onboarding tribe, data, research and product design to deep-dive the journey and funnel: where users dropped, what the business saw in sign-up conversion, and which problems were worth solving next. The slide captures both the journey canvas we worked from and the headline conversion trend we were responding to.

Onboarding roadmapping: cross-functional facilitation, journey map and new accounts conversion trend

Teams involved

Success depended on the same people who could change instrumentation, policy interpretation and UI together: research, the onboarding product team, mobile and backend engineering, and data/BI.

Research

User research, testing readouts, and qualitative evidence that we could line up with funnel data.

Onboarding product team

Product ownership, backlog and tribe rituals—where design proposals turned into sequenced delivery.

iOS, Android & backend engineers

Shipping flows, integrations and fixes—and keeping analytics trustworthy at each step.

Data & BI

Funnels, dashboards and deep dives so we debated numbers once, then acted on the same truth.

Design thinking workshops

I structured onboarding work as a series of four workshops so the squad moved from shared data to ideas everyone owned: first aligning on Quicksight and Mixpanel with journey context; then reviewing user testing, CS tickets and competitors; next replaying the sentiment map to prime ideation; and finally consolidating learnings into themed opportunities. Each session had a clear objective and session plan so time in the room translated straight into the affinity map and RICE scoring that followed.

Four workshops: data analysis, user testing review, sentiment map review, and team ideation—with objectives and session plans

In depth data review

We started from a shared read of the numbers: acquisition spikes and channel mix, how paid marketing related to headline conversion, and the Mixpanel funnel step-by-step (where IDV, POA, CDD and wallet creation hurt most). One composite slide kept the team aligned on what the data said before we argued solutions.

In depth data review: acquisition, paid vs organic, conversion trend and Mixpanel onboarding funnel

User journey review

Three workshops walked the end-to-end journey: collaborative journey mapping with sticky-note critique, a sentiment map from onboarding testing, and customer service feedback plotted against stages so operational pain matched UI reality. Qual evidence sat next to the funnel instead of in a separate deck.

User journey review: workshops, journey map callouts, emotion map and customer service feedback

Competitor analysis

We benchmarked onboarding depth and friction against Wise, Revolut, Monzo, Starling and others—question-by-question matrices, UI comparisons for basics, email verify and CDD, IDV patterns, quantitative step-count bars, and full flow maps. That gave us a shared language for where Zing was heavier or lighter than the market.

Competitor analysis: question matrix, UI comparisons, step counts, CDD, ID verify and journey maps

Affinity mapping

Workshop output and research themes were grouped into clusters—sign-up, IDV, address, biometrics, processing, CDD, notifications, card ordering and remove-or-reposition ideas—so we could see volume and overlap before anyone wrote a Jira ticket.

Affinity map of onboarding improvement ideas by theme

RICE scoring and roadmap

Every idea was captured as problem, solution and rough UI where helpful; the team scored each with RICE (Reach, Impact, Confidence, Effort) and rolled results into a ranked table that fed the onboarding tribe roadmap—transparent, debatable and tied to user and business outcomes.

RICE scoring: example initiative cards and full grid of scored ideas

Creating a roadmap

As a team we then voted on each idea to capture a RICE score for Reach, Impact, Confidence and Effort.

By scoring and ranking the top 30 ideas the team was able to focus on the most impactful improvements, which were then integrated into the onboarding tribe’s product roadmap.

This process helped ensure the enhancements were data-driven and aligned with both user needs and business goals.

Roadmap prioritisation: ranked initiatives with RICE scores, areas and solutions in a team spreadsheet

Outcomes

After we shipped several prioritised improvements, we saw a marked increase in conversion rate—including the 28% lift on opened accounts—and time to onboard came down: completion within 15 minutes rose from 40% to 57%, and within 48 hours from 80% to 90%. The charts below show those trends in the metrics.

Onboarding conversion rate trend: improvement after design-led changes
Time to complete onboarding: faster completion in under 15 minutes and within 48 hours
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