Flaconi: Improving Mobile Filters Usability

E-commerce

As part of the awareness and intent team at Flaconi, I improved the usability of the mobile filters to ensure an optimal user experience before the peak season.

Role

Product designer

Client

Flaconi

Overview

Flaconi is a leading beauty and self-care e- commerce company in Germany with more than three million active customers.

Filters are widely used by flaconi webshop customers to refine results when they land on a Catalogue Page (PLP) with a large number of results. Despite mobile being the preferred device by the users, the percentage of them who convert while using mobile filters (12%) are lower than desktop (21%). Based on this data, I worked to figure out the cause of the discrepancy between devices and improve the usage of mobile filters.

Problem

Despite mobile being the preferred device by the users, mobile users that interact with filters convert less than the desktop users who use filters in their journey.

Solution

An improved design of mobile filters that solved user pain points and usability issues that are identified through qualitative and quantitative research.

Impact

The gap between the percentage of users who convert while using mobile (12%) versus desktop (21%) filters was successfully closed, resulting in a positive impact on NOI. 1% increase in this KPI is equivalent of over 2 million € NOI per year.

Flaconi: Improving Mobile Filters Usability

E-commerce

As part of the awareness and intent team at Flaconi, I improved the usability of the mobile filters to ensure an optimal user experience before the peak season.

Role

Product designer

Client

Flaconi

Overview

Flaconi is a leading beauty and self-care e- commerce company in Germany with more than three million active customers.

Filters are widely used by flaconi webshop customers to refine results when they land on a Catalogue Page (PLP) with a large number of results. Despite mobile being the preferred device by the users, the percentage of them who convert while using mobile filters (12%) are lower than desktop (21%). Based on this data, I worked to figure out the cause of the discrepancy between devices and improve the usage of mobile filters.

Problem

Despite mobile being the preferred device by the users, mobile users that interact with filters convert less than the desktop users who use filters in their journey.

Solution

An improved design of mobile filters that solved user pain points and usability issues that are identified through qualitative and quantitative research.

Impact

The gap between the percentage of users who convert while using mobile (12%) versus desktop (21%) filters was successfully closed, resulting in a positive impact on NOI. 1% increase in this KPI is equivalent of over 2 million € NOI per year.

Flaconi: Improving Mobile Filters Usability

E-commerce

As part of the awareness and intent team at Flaconi, I improved the usability of the mobile filters to ensure an optimal user experience before the peak season.

Role

Product designer

Client

Flaconi

Overview

Flaconi is a leading beauty and self-care e- commerce company in Germany with more than three million active customers.

Filters are widely used by flaconi webshop customers to refine results when they land on a Catalogue Page (PLP) with a large number of results. Despite mobile being the preferred device by the users, the percentage of them who convert while using mobile filters (12%) are lower than desktop (21%). Based on this data, I worked to figure out the cause of the discrepancy between devices and improve the usage of mobile filters.

Problem

Despite mobile being the preferred device by the users, mobile users that interact with filters convert less than the desktop users who use filters in their journey.

Solution

An improved design of mobile filters that solved user pain points and usability issues that are identified through qualitative and quantitative research.

Impact

The gap between the percentage of users who convert while using mobile (12%) versus desktop (21%) filters was successfully closed, resulting in a positive impact on NOI. 1% increase in this KPI is equivalent of over 2 million € NOI per year.

  1. Discover and define

I started the discovery process by gathering all the available information on flaconi's filters. Wanting to grasp user’s mental models and further identify issues with the mobile filters I collaborated with our user researcher and conducted a qualitative interviews with 6 users with a mix of gender and age. During the interviews, we observed them while engaging with the shop as they’d normally do and complete tasks such as finding a perfume as present. The interviews, along with the previous research provided a clear picture about the mobile filters:

Usability issues

01

01

Accessibility problems with interactive elements such as buttons, price scale and accordion menu.

02

02

No option to select and apply multiple filters simultaneously, leading to repetitive opening and closing of the filter menu.

03

03

Too many attributes in some filters

04

04

Difficulty in locating the "Apply" button due to accordion-style menus

Define

Upon reviewing my collected insights, I identified two primary issues with the filters: usability and information architecture. Given the substantial effort and time required to address the latter, involving team members and stakeholders from SEO, Campaign, and Category Management, we opted to prioritize improving usability.

So I framed the design opportunity accordingly:

How might we help our users refine results with ease by using mobile filters?

Benchmarking

Prior to ideating, I examined the filter structures of other e-commerce shops and drew inspiration from flaconi's new search flyout, which I previously worked on, for accessible navigation elements.

Based on my benchmarking analysis, I found that:

  • Many shops utilize full-screen views for dedicated filters.

  • Although main navigation is typically vertical, horizontal navigation is commonly used for filter screens

  • Displaying the number of available results for selected filters is a useful pattern for aiding users.

  1. Ideation and design

Ideation and user flow

For my design iterations, I began by enhancing our current filters to include:

  • Minimum touch target sizes for interactive elements

  • Manual price entry
    Improved price range to prevent accidental swiping

  • Capability to select and apply multiple filters at once

  • Display of the number of selected filters in the overview screen to improve user clarity.

Iteration 1: Improved version of current filters

Iteration 1: Improved version of current filters

Iteration 1: Improved version of current filters

Initial design iterations

Initial design iterations

Initial design iterations

Iteration 2: Horizontal navigation

Iteration 2: Horizontal navigation

Iteration 2: Horizontal navigation

For my second iteration, I aimed to reduce scrolling and implemented the following changes:

  • Used horizontal navigation to allow users to focus on one filter at a time

  • Removed cents from the price filter for a cleaner appearance

After consulting with the team, we decided to simplify the second iteration by removing the capability to select multiple filters to avoid potential performance problems. To compensate for this change, we added popular filters to the Catalogue Pages (PLP) . Prior to implementation, I tested the updated version to gather feedback by using Maze.

  1. Testing

Unmoderated user testing on Maze

To evaluate usability, I created a high-fidelity prototype and conducted an unmoderated usability test using Maze. While creating the prototype, I noticed an unexpected issue: the number of products on PLPs varied depending on the navigation method. When I only used main navigation the number of results were higher than using a combination of main navigation and filters.

I further investigated this matter in the usability test to determine if users used filters for navigational purposes when visible on PLPs.

  1. Final design

Test results were favorable, as users had no difficulty completing tasks using the filters.
However, the test also confirmed my assumption that users used filters for navigation purposes. I reported the issue to stakeholders and requested an investigation.

Based on the test findings, we did not make filters visible on catalogue pages when they went live.

  1. Impact

Impact

Impact

Impact

The gap between the percentage of users who convert while using mobile (12%) versus desktop (21%) filters was successfully closed, resulting in a positive impact on NOI. 1% increase in this KPI is equivalent of over 2 million € NOI per year.

Next steps

Next steps

Next steps

The next steps for this project is to fix the performance issues to allow multiple filter selection and filter attributes before making filters more prominent in the shop.