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Automated Floor Planning Tool

Delving into the market of automated floor planning products, this UX case study examines existing customer needs and consumption patterns and develops an all-in-one tool to boost user engagement and improve order conversion rates.

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Automated Design Tool

A preliminary discovery on the development of an automated design product dedicated to exploring opportunities in the market by analyzing existing customer requirements and consumption patterns

Overview

Delving into the market of automated floor planning products, this UX case study examines existing customer needs and consumption patterns and develops an all-in-one tool to boost user engagement and improve order conversion rates.

The Problem

It’s challenging and time-consuming to design and visualize living spaces with existing IKEA products.

Both in-store and online shoppers are increasingly seeking whole-house decoration solutions to enhance their living spaces. Nonetheless, their choices for creating the perfect design are somewhat restricted, ranging from scheduling design consultations at IKEA to utilizing specialized room decorating apps, rather than having access to a comprehensive planning tool. (Source: the Ikea India website.)

As for coworkers serving for design service at IKEA, they strive to provide optimal room-decorating plans towards clients but achieve limited CRR (Customer Retention Rate) due to the objective constraints of design tools.

Survey

19

Participants
Integration iconIntegration iconIntegration iconIntegration iconIntegration iconIntegration iconIntegration iconIntegration iconIntegration icon
The objective

Developing a design tool that enhances user engagement and streamlines the furniture buying process.

General Home Furnishing Milestones
  • Understand and identify participants’ journey and pain points in the shopping process.

  • Visualize an integrated, omni-channel experience using the IKEA AI engine, that creates an impact for our business and customers that goes beyond just adding “another planner tool” to the experience.

User Group

A digital tool designed for in-store and online customers who want to decorate their spaces.

A professional design tool developed for colleagues engaged in consumer design service.

The product provides users with personalized room-decoration plans powered by IKEA's AI design engine.

Success Metric

Help customers imagine furniture and access IKEA services

The tool can make the most impact helping customers imagining overall effects of the selected furniture products. Customers may also utilize this tool for accessing professional services provided by IKEA.

Effective for brand awareness and customer loyalty

While likely to not be high converting on the tool it would build brand awareness. In this way, prospective customers are more likely to associate IKEA with whole room design - but such effects may not be directly measurable.

How

Brainstorming workshop

Prioritizing a Customer-Facing Tool with integrated design services.

Our design team invited 12 colleagues engaged in design services for customers as well as UX/UI designers, and a product manager to brainstorm the possible frustrations of consumers and designers before, during, and after consulting services at IKEA.

  • Customers may experience frustration due to the absence of professional guidance on room decoration and a lack of knowledge about design services.
  • After delivering design services, it is crucial to monitor and analyze consumers' subsequent behaviors.
  • As for our colleagues who use professional design tools, they require a user-friendly solution for space measurement and a straightforward method for collecting materials. This tool should seamlessly integrate with the following design software, ensuring a smooth transition and user experience.
Competitive analysis

Identifying benchmarks and essential product requirements.

Through analyzing various room-planner tools, we had a clear understanding of the general workflow of customers when using the app or website to start interior design. In addition, we got some inspirations for the primary features of our product to build a basic functional framework from gathering all the customer feedback about the competitors.

survey

Understanding users expectations that drive their purchasing decisions.

We distributed surveys to understand customer expectations for the planning tool. The survey sample consisted of 140 IKEA customers from the IKEA member database and 80 non-IKEA customers.

  • In big cities, consumers prioritize furniture purchases based on brand and design, while those in smaller cities prioritize affordability and quality.

  • Most participants hope to view the furniture arrangement from diverse perspectives.

  • Customers need other people’s help during evaluation.

  • Desktop applications are preferred by most participants.

  • Half of customers accept virtual presentations to help with furniture purchases.

  • Customers are not very willing to provide personal information for personalized recommendation of furniture.

  • Many customers do not have a good understanding of style. Meanwhile, it’s also common to browse furniture products by style.

Customer Journey Mapping

Visualizing the user's end-to-end experience with IKEA to identify pain points & opportunities

What paths did diverse user segments take?
What challenges did they face?

According to the marketing statistics, the users purchasing large furniture have the highest conversion rate of orders. In that case, we conducted an in-depth analysis targeting this type of user through observance of their consumption behaviors on the web, especially the official websites of IKEA.

As a way to fully understand this type of user, we categorized them into four personas with varying personalities and consumption habits. We can identify pain points and brainstorm solutions that contribute to potential features.

In-Scope
Functionality

Localized User interview

Gaining deeper insights into the adoption of the Design Tool.

We implemented four face-to-face interviews with Chinese customers at IKEA's local stores. Each interview took approximately 45 minutes to an hour, touching upon past shopping decisions and experiences. Questions include purchasing habits, recent home furnishing experiences, IKEA design services, prototype feedback, and comparisons with competitive products.

Example of
Interactive Prototype

The following are the main findings and suggestions contributing to the design iteration.

1

Hard to imagine the coordination of different furniture & furnishing /overall effects of different furniture& furnishing together.
Allow users to indicate multiple functionalities for one room.
Multiple-perspective 3D view is needed.

2

Have a few ideas of where to start and spend lots of time filtering/browsing furniture or inspiration images.
Give recommendations on furniture selection and styles filtered by diverse categories.

3

People want to feel in control of the journey and need to check the sizing of single furniture and put-together sizing.
Provide a clear view of the entire design process with each furniture item accompanied by size and description information.

4

Need help from professionals for design / spatial planning and style coordination.
The involvement of professionals is most needed when coordinating the furniture.

Information Architecture

The Problem

It’s challenging to design living spaces with existing IKEA products.

Both in-store and online shoppers are increasingly seeking whole-house decoration solutions to enhance their living spaces. Nonetheless, their choices for creating the perfect design are somewhat restricted, ranging from scheduling design consultations at IKEA to utilizing specialized room decorating apps, rather than having access to a comprehensive planning tool. (Source: the Ikea India website.)

As for coworkers serving for design service at IKEA, they strive to provide optimal room-decorating plans towards clients but achieve limited CRR (Customer Retention Rate) due to the objective constraints of design tools.

Survey

19

Participants
Integration iconIntegration iconIntegration iconIntegration iconIntegration iconIntegration iconIntegration iconIntegration iconIntegration icon
The objective

Developing a design tool that streamlines the furniture buying process.

General Home Furnishing Milestones
  • Understand and identify participants’ journey and pain points in the shopping process.

  • Visualize an integrated, omni-channel experience using the IKEA AI engine, that creates an impact for our business and customers that goes beyond just adding “another planner tool” to the experience.

User Group

A digital tool designed for in-store and online customers who want to decorate their spaces.

A professional design tool developed for colleagues engaged in consumer design service.

The product provides users with personalized room-decoration plans powered by IKEA's AI design engine.

Success
Metrics

Help customers imagine furniture and access IKEA services

The tool can make the most impact helping customers imagining overall effects of the selected furniture products. Customers may also utilize this tool for accessing professional services provided by IKEA.

Effective for brand awareness and customer loyalty

While likely to not be high converting on the tool it would build brand awareness. In this way, prospective customers are more likely to associate IKEA with whole room design - but such effects may not be directly measurable.

How

Brainstorming workshop

Prioritizing a Customer-Facing Tool with integrated design services.

Our design team invited 12 colleagues engaged in design services for customers as well as UX/UI designers, and a product manager to brainstorm the possible frustrations of consumers and designers before, during, and after consulting services at IKEA.

  • Customers may experience frustration due to the absence of professional guidance on room decoration and a lack of knowledge about design services.
  • After delivering design services, it is crucial to monitor and analyze consumers' subsequent behaviors.
  • As for our colleagues who use professional design tools, they require a user-friendly solution for space measurement and a straightforward method for collecting materials. This tool should seamlessly integrate with the following design software, ensuring a smooth transition and user experience.
Competitive analysis

Identifying benchmarks and essential product requirements.

Through analyzing various room-planner tools, we had a clear understanding of the general workflow of customers when using the app or website to start interior design. In addition, we got some inspirations for the primary features of our product to build a basic functional framework from gathering all the customer feedback about the competitors.

survey

Understanding the factors that drive users purchasing decisions.

We distributed surveys to understand customer expectations for the planning tool. The survey sample consisted of 140 IKEA customers from the IKEA member database and 80 non-IKEA customers.

  • In big cities, consumers prioritize furniture purchases based on brand and design, while those in smaller cities prioritize affordability and quality.

  • Most participants hope to view the furniture arrangement from diverse perspectives.

  • Customers need other people’s help during evaluation.

  • Desktop applications are preferred by most participants.

  • Half of customers accept virtual presentations to help with furniture purchases.

  • Customers are not very willing to provide personal information for personalized recommendation of furniture.

  • Many customers do not have a good understanding of style. Meanwhile, it’s also common to browse furniture products by style.

Customer Journey Mapping

Visualizing the end-to-end experience to identify pain points & opportunities.

What paths did diverse user segments take?
What challenges did they face?

According to the marketing statistics, the users purchasing large furniture have the highest conversion rate of orders. In that case, we conducted an in-depth analysis targeting this type of user through observance of their consumption behaviors on the web, especially the official websites of IKEA.

As a way to fully understand this type of user, we categorized them into four personas with varying personalities and consumption habits. We can identify pain points and brainstorm solutions that contribute to potential features.

In-Scope
Functionality

Localized user interview

Gaining deeper insights into the adoption of the Design Tool.

8 interviews

45-60 min
each time  

45 min each time  

We implemented four face-to-face interviews with Chinese customers at IKEA's local stores. Each interview took approximately 45 minutes to an hour, touching upon past shopping decisions and experiences. Questions include purchasing habits, recent home furnishing experiences, IKEA design services, prototype feedback, and comparisons with competitive products.

Example of
Interactive Prototype

The following are the main findings and suggestions contributing to the design iteration.

1

Hard to imagine the coordination of different furniture & furnishing /overall effects of different furniture& furnishing together.
Allow users to indicate multiple functionalities for one room.
Multiple-perspective 3D view is needed.

2

Have a few ideas of where to start and spend lots of time filtering/browsing furniture or inspiration images.
Give recommendations on furniture selection and styles filtered by diverse categories.

3

People want to feel in control of the journey and need to check the sizing of single furniture and put-together sizing.
Provide a clear view of the entire design process with each furniture item accompanied by size and description information.

4

Need help from professionals for design / spatial planning and style coordination.
The involvement of professionals is most needed when coordinating the furniture.

Information Architecture

Side Project

Based on user feedback from the prototype developed in collaboration with a UI designer at IKEA, I reframed the page structure while taking research insights and information architecture into account. These enhancements were then incorporated into the UI prototypes I created in English after my work at IKEA, ensuring a more intuitive and user-friendly design.

Transforming Research Findings into Key Features

Step-by-Step Design Control

Users can efficiently navigate the design process with a stepper that simplifies complex design tasks into smaller, manageable steps.

Before
After

Multiple View Options

With a wide range of viewing options, users are allowed to edit the plan under the top view, side view, section view, or 3D view, depending on specific design needs and preferences.

Customer Data Privacy

To ensure privacy and reduce abandonment due to concerns, users are asked to provide input on memorable purchased items instead of accessing their profiles or order history.

Integrated Style Identification

Instead of solely relying on users to select their style preferences, which might be inaccurate and cause a high abandonment rate, I ask for their specific furniture preferences and past items. Integrating all these inputs enables the generation of more accurate template recommendations, ultimately improving user satisfaction and engagement.

Seamless Design-to-Order Conversion

Customers are able to effortlessly convert their designs into orders by selecting furniture from the catalog, placing it in their preferred location, adjusting angles interactively, and checking out directly.

Design System

A design library contains reusable components and design guidelines.

Advanced AI Feature Concepts

Learning from failure

Being my first job in UX, I was hesitant to express my opinions and was afraid of making mistakes initially. But through my colleagues' encouragement, I have realized I am uniquely capable of providing the team with fresh insights from various perspectives. So I stepped out to prepare for my first presentation, and then initiated the conversation with colleagues in the following weeks. Gradually, I felt comfortable and confident in showing my work and taking feedback.

Thriving in team collaborations

I learned from design fellows and produced an interactive prototype in 2 days, which could be used in subsequent user interviews. Also, the feedbacks from PM and UXR boosted my skill growth.

Chatbot Designer

An interactive chatbot acts as a virtual interior designer, generating floor plans based on user descriptions and offering personalized advice through conversational interactions.

Style Recognition

AI recognizes design styles from user-provided images or keywords, helping users integrate inspirations from various sources into their floor plans.

Real-time Design Feedback

AI can provide instant feedback on design choices, highlighting potential issues or suggesting improvements based on best practices and user preferences.

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