05 / Selected work · Product design · 2022

Helpling
× Omri

Reducing booking drop-offs in the Helpling household services app.

UX case study

Booking flow · Mobile experience · Conversion-focused design

4 weeks · Concept exploration

Helpling app provider-selection screen displayed on an angled phone mockup
01 / Overview

Making booking feel easier to finish.

This project explored a recurring challenge in Helpling's mobile app: users leaving the booking flow before confirming a household cleaning service. I analyzed the journey, identified points of friction, and developed three UX concepts to make the experience clearer and help users move forward with confidence.

The four-week project took place in 2022. The proposed solutions were designed within Helpling's existing interface and visual system, with a focus on improving the user journey rather than redesigning the entire product. The work offered practical directions for reducing friction and supporting booking conversion.

Project structure
01
Discover

Reviewed the booking journey and identified where users dropped off.

02
Ideate

Explored approaches to reduce friction and support completion.

03
Design

Developed three booking-flow concepts within the existing app UI.

04
Refine

Tested concepts, gathered feedback, and improved clarity.

02 / The problem

Where did bookings lose momentum?

Helpling connects customers with professional household cleaners. Yet users were leaving the app before completing a booking, creating friction for customers and missed opportunities for the business.

Behavioral analytics and internal feedback pointed to moments of uncertainty in the booking journey. Many customers were first-time users or busy people seeking a reliable service quickly. Unclear choices, hesitation about providers, and limited guidance could interrupt that decision.

The goal was to understand where users struggled and design targeted improvements that made booking more intuitive and reassuring.

30%Drop-off rate
25%Confusion rate
20%Hesitation rate

Figures provided in the project brief; measurement definitions and sample sizes are not specified.

Current booking flow

Mapping the existing journey helped locate the specific step where users encountered difficulty.

Existing Helpling booking journey from landing page through postcode, frequency, date, time and cleaner selection to login, summary and payment; high drop-off points at cleaner selection and after cleaners selected.
03 / Constraints

Designing within real limits.

The solutions needed to work within an established product, a short timeline, and the needs of different user groups.

Limited redesign scope

The existing platform limited how much of the booking flow could change. Improvements had to fit its structure without disrupting established functionality.

Tight timeline

With approximately four weeks available, the work prioritized high-impact opportunities and fast iterations over a complete overhaul.

Data availability

Limited access to detailed user-behavior data made it difficult to understand every pain point. Available analytics informed assumptions, while qualitative feedback helped validate ideas where possible.

User diversity

Users had different levels of technical confidence and familiarity with digital services. The flow needed to balance simplicity and functionality without excluding any group.

Technology limitations

The existing app technology constrained which interactions could be implemented realistically. Some ideas needed to be adapted or removed to remain technically feasible.

Platform compatibility

Solutions needed to work across devices and operating systems. Differences in screen size, performance, and interaction patterns had to be considered.

04 / Goals & success

What would a better flow achieve?

The design concepts focused on three expected behaviors: encouraging enough provider selections, helping users compare their options, and offering feedback about their likelihood of finding a match.

01

Select enough providers

Encourage users to choose at least three providers before continuing, improving their chances of a successful match.

02

Find the right favorites

Use filtering and sorting to help customers compare providers and make more confident selections.

03

Adjust with feedback

Show a probability indicator so users can refine their choices before submitting a booking.

How success would be evaluated

Booking completion rate

The share of users who successfully finish the booking journey.

Drop-off at key steps

Where users leave the flow, and whether those points of friction improve.

Time to complete a booking

How efficiently users move from selecting providers to confirming their request.

User satisfaction

Survey feedback about clarity, ease of use, and confidence in the process.

05 / Insights

Three needs behind the drop-off.

The analysis pointed to three recurring UX themes that shaped the proposed solutions.

Choices

Too many options can create decision fatigue. Simplifying selection helps users keep moving.

Confidence

Uncertainty about provider availability can lead to hesitation. Clearer expectations help build trust.

Feedback

Without timely guidance, users may not know what to do next. Visible status and warnings make the process easier to understand.

06 / Solutions

Three ways to reduce friction.

Each concept addresses a different point of uncertainty in the provider-selection stage, while staying close to the existing app experience.

01

Minimum provider selection

Ask users to select at least three providers before proceeding, setting a clear expectation and increasing the chances of finding an available cleaner.

Clearer expectationsUsers understand how many providers to choose before continuing.
Reported reduction in drop-off18% at the provider-selection step, according to the supplied project notes.
02

Filtering and sorting favorites

Help users narrow down and organize preferred providers, making selection more intuitive and relevant to their needs.

Easier comparisonFiltering and sorting help users find suitable providers faster.
More intuitive flowUsers can organize their favorites instead of navigating an overwhelming list.
03

Probability meter

Introduce a visual indicator of the likelihood of finding a match, prompting users to adjust their choices when too few providers are selected.

Reported improvement16% fewer under-selected bookings, according to the supplied project notes.
More confidenceFeedback indicated that guidance helped users feel more confident about their choices.

The work is described as conceptual. The reported percentages in the source material have not been independently verified, and the study details are not yet available.

07 / Conclusion

What this project reinforced.

The exploration showed how focused UX changes can address friction without requiring a complete product redesign.

Work with the data available

Identifying drop-off points helped focus the design work, while gaps in the data highlighted the importance of testing assumptions.

Connect UX to business goals

Exploring multiple concepts created opportunities to compare approaches that could support both user confidence and booking conversion.

Balance needs and constraints

Respecting the existing UI, technical limitations, and diverse user needs kept the proposals practical and feasible.

Refine through testing

Evaluating concepts against completion, drop-off, time, and satisfaction metrics helped define what meaningful improvement would look like.

Less friction.
More confidence.