invisibleDesign / Spacebox · Lead Product Designer

invisibleDesign / Spacebox · Lead Product Designer

Convincing users to trust Spacebox with their belongings

How thoughtful onboarding turned first-time, skeptical people into users who stayed and chose to commit.

How thoughtful onboarding turned first-time, skeptical people into users who stayed and chose to commit.

Platform

iOS & Android

team

Engineering, QA, Localization, Product

TIMELINE

November 2025 – January 2026

⚡️ the 30-second version

Spacebox is an award-winning Hong Kong storage service: they pick up your belongings, store them, and bring them back when you need them. The whole thing only works if you trust them with your stuff. I redesigned the app's onboarding, plan selection and payment so first-time users felt safe enough to keep going, and confident enough to pick a plan.

Conversion

33%

increase in sign-ups

Continuation

85.7%

of users continued past onboarding

Acquisition

37.6%

went on to select a storage plan

Purchase intent

400+

users entered the payment flow within 3 months

The context
Storage is a purchase built entirely on trust

Spacebox is one of Hong Kong's most established storage companies - winner of the Best Valet Storage in Asia award.

They offer door-to-door storage, where movers collect your belongings and keep them in a warehouse until you want them back. The app is how users book boxes, manage their inventory, and schedule pickups.

My job was the part that decides everything: onboarding and choosing a plan. And here's the catch - unlike most apps, storage asks the user to hand over their physical possessions to people they've never met. No feature matters until someone believes their stuff is safe. If that belief doesn't form early, they close the app and book nothing.

Phase 1: Discovery
How it started
The digital journey was losing users at every stage

Spacebox offers door-to-door box storage, a service that requires trust before it requires a payment. But the existing app pushed users toward commitment before they had built that trust. Research across the product, competitor apps, and UX patterns surfaced four consistent friction points:

  • Users were asked to act before they understood the service

  • Too many decisions appeared at once during ordering

  • Pricing and next steps felt unpredictable throughout

  • Checkout required manual sales support to complete

research

Before focusing on individual screens, the product was reviewed more broadly to understand where the experience was helping and where it was creating friction. The work combined design analysis, competitor review, and pattern research to identify the moments that most affected clarity, trust, and ease of use across the app.

Design analysis

Competitive scan

Pattern search

User archetypes
Phase 2: Design
Key design decisions
Three flows. One through-line: earn trust before asking for commitment.
  1. Onboarding
The problem

Plans and pricing appeared on screen two. First-time users couldn't evaluate a price for a service they hadn't yet understood.

the trade-offs

Delaying sign-up to educate first risks losing impatient users. The call: informed users convert better and drop off less further down.

The outcome

Users arrived at sign-up already oriented, with fewer drop-offs before the CTA and a clearer path into the order flow.

33% conversion

+131% first app opens

Explorations

Explorations

Explorations

Explorations

Tools: Figma Make (for wireframing), Claude (for PRD refinement)

Guided Walkthrough

Early concepts explored leading with service education before any action. It confirmed that onboarding needed to build confidence first, not just explain features.

Personalised setup

A tailored path was explored to surface storage needs upfront. Useful ideas came out of it, but the approach felt too heavy for users still figuring out what the service was.

Guided Walkthrough

Early concepts explored leading with service education before any action. It confirmed that onboarding needed to build confidence first, not just explain features.

Personalised setup

A tailored path was explored to surface storage needs upfront. Useful ideas came out of it, but the approach felt too heavy for users still figuring out what the service was.

After conducting rounds of A/B tests we finalised on these designs:

after
before
Before
After

Principles Applied:

Serial Position Effect

Aesthetic-Usability Effect

Peak-End Rule

II. Order
The problem

Box type, plan, quantity, transport, and fees appeared together. Users stalled because there was too much to process at once.

the trade-offs

More screens means more steps. The call: lower cognitive load per screen outweighs the cost of an extra tap for a high-consideration purchase.

The outcome

The flow felt lighter and more navigable. Users progressed with less hesitation and fewer return-to-previous-step behaviours.

37.6% plan selection rate

Explorations

Explorations

Explorations

Explorations

Plan structure

Early versions explored plan and storage selection without locking users in too soon, helping simplify how choices and costs appeared together.

Reducing complexity

Some details were moved out of the first-time order path after exploration showed they added friction without adding value.

Flow structure

Different step patterns were tested to make ordering feel like a guided sequence rather than one large form, shaping the path from storage choice to confirmation.

Plan structure

Early versions explored plan and storage selection without locking users in too soon, helping simplify how choices and costs appeared together.

Reducing complexity

Some details were moved out of the first-time order path after exploration showed they added friction without adding value.

Flow structure

Different step patterns were tested to make ordering feel like a guided sequence rather than one large form, shaping the path from storage choice to confirmation.

after
before
Before
After

Principles Applied:

Hick's Law

Miller's Law

Progressive Disclosure

III. Checkout
The problem

No in-product payment path existed. After a full digital journey, users were handed off to sales or WhatsApp to complete the order.

the trade-offs

Removing the human touchpoint risks feeling cold for a trust-dependent service. The call: keep the enquiry path as a secondary route, not remove it entirely.

The outcome

Users could complete a full order without leaving the product. Sales-assisted completions decreased as digital payment adoption grew.

400+ users entered payment flow within 3 months

Explorations

Explorations

Explorations

Explorations

Payment paths

Different layouts explored how digital payment and assisted support could coexist. Self-serve became the primary route with help kept available as a fallback.

Card entry

Several approaches to adding payment details were tested to keep checkout focused and familiar without competing with the order summary.

Payment paths

Different layouts explored how digital payment and assisted support could coexist. Self-serve became the primary route with help kept available as a fallback.

Card entry

Several approaches to adding payment details were tested to keep checkout focused and familiar without competing with the order summary.

Principles Applied:

Peak-End Rule

Jakob's Law

Phase 3: Impact
What the data revealed
The friction was not at the end of the funnel. It was at the moment of upfront commitment.

Mixpanel funnel analysis tracked user progression through the payment flow and surfaced a critical pattern: drop-off was concentrated at the point of payment entry, not at later confirmation steps.

414

Users entered the payment flow

13.2%

Continued past payment entry

85.7%

Progressed through the summary step

18

Completed full order submissions

What worked
  • The checkout flow performed well once users committed. 85.7% progressed through the summary step, a strong signal the experience itself was sound.

  • The order flow was building genuine comprehension. 37.6% selected a plan, showing users understood the offering enough to move past the first major decision.

  • Acquisition was strong. First app opens up 131% month-over-month confirmed the onboarding redesign was working.

What needed rethinking
  • The drop-off happened before the flow, not inside it. Only 13.2% continued past payment entry, pointing to upfront commitment anxiety as the real barrier.

  • The barrier was not the checkout design itself. Users needed a lower-pressure path into commitment.

  • This directly informed the shift to an enquiry-first model and deferred payment in phase two, currently in progress.

Reflection
  • Simplifying a journey is not always about removing steps. It is about introducing the right information at the moment it becomes useful

  • The three flows were not separate problems. They were one continuous experience where each stage either prepared users for the next, or did not

  • The most valuable design output was not the screens. It was the precision with which the data revealed where confidence broke down

  • Shipping this taught me that designing for high-stakes, first-time experiences means designing for the trust level users actually have, not the one you assumed. That distinction is driving phase two, currently in progress

Other Work at Spacebox
spacebox loading
Design Analysis
Design Analysis
Design Analysis

Audited the app to identify usability gaps and define opportunities for a clearer, more seamless digital experience