Helping OpenTable users to book tables with confidence

Currently, the OpenTable app doesn’t have an option for existing users to connect with friends and check their latest reviews on restaurants. For this case study, we helped them to make it possible for users to see the restaurant reviews of their friends.

Currently, the OpenTable app doesn’t have an option for existing users to connect with friends and check their latest reviews on restaurants. For this case study, we helped them to make it possible.

Role

User Research

Product Strategy

UI Design

Interaction Design

Usability Testing

Tools

Figjam

Notion

Maze

Figma

Slack

Timeline

5 weeks

Team work

The user

Our users are busy professionals who enjoy dining out with friends and exploring new restaurants in their city. They use the OpenTable app on their mobile device regularly to make reservations and discover new dining experiences. They value the opinions and recommendations of their friends and often relies on their feedback before trying a new restaurant.


The summary of our users statements after research is "I need to see my friends reviews of restaurants so I can be confident in booking a table.”

The outcome

Integrating a social networking feature in the OpenTable app to allow users to see restaurant reviews from their friends would result in increased user engagement, trust in recommendations, higher booking conversions, personalised restaurant suggestions, and potential word-of-mouth marketing.

The solution

From a business perspective, the solution is making it easy for returning users to connect with friends at the restaurant reviews to increase the conversion of bookings by including the integration of a social networking feature within the app.

The problem

The OpenTable app does not allow users to see the restaurant reviews of their friends. The implication is that users did not move forward on booking a table as they don't feel that they can trust that review.

The problem

The OpenTable app does not allow users to see the restaurant reviews of their friends. The implication is that users did not move forward on booking a table as they don't feel that they can trust that review.

The solution

From a business perspective, the solution is making it easy for returning users to connect with friends at the restaurant reviews to increase the conversion of bookings by including the integration of a social networking feature within the app.

The outcome

Integrating a social networking feature in the OpenTable app to allow users to see restaurant reviews from their friends would result in increased user engagement, trust in recommendations, higher booking conversions, personalised restaurant suggestions, and potential word-of-mouth marketing.

Before the changes

Before the changes


  • There is no integrated social network feature, which means you cannot follow friends or see their reviews.


  • There is no option to leave comments in reviews with questions or add additional valuable details.


  • To find a specific word in reviews, you need to use the search bar as there is no direct feature for locating specific words within reviews.


  • There is no integrated social network feature, which means you cannot follow friends or see their reviews.


  • There is no option to leave comments in reviews with questions or add additional valuable details.


  • To find a specific word in reviews, you need to use the search bar as there is no direct feature for locating specific words within reviews.

After the changes

After the changes


  • Implemented modifications and added a network feature.

  • Sync contacts with the app.

  • Users can now follow their friends within the app.

  • Filter reviews specifically by friends they follow or by mutual friends.

  • Encourages users to feel more confident when booking a restaurant table.

  • Users can leave comments on reviews.

  • Included a filter icon for easier review search.

  • Expanded sorting options.

  • Users can follow and unfollow any user.

  • Share more about themselves through a personal profile page.


  • Implemented modifications and added a network feature.


  • Sync contacts with the app.


  • Users can now follow their friends within the app.


  • Filter reviews specifically by friends they follow or by mutual friends.


  • Encourages users to feel more confident when booking a restaurant table.


  • Users can leave comments on reviews.


  • Included a filter icon for easier review search.


  • Expanded sorting options.


  • Users can follow and unfollow any user.


  • Share more about themselves through a personal profile page.


  • Implemented modifications and added a network feature.


  • Sync contacts with the app.


  • Users can now follow their friends within the app.


  • Filter reviews specifically by friends they follow or by mutual friends.


  • Encourages users to feel more confident when booking a restaurant table.


  • Users can leave comments on reviews.


  • Included a filter icon for easier review search.


  • Expanded sorting options.


  • Users can follow and unfollow any user.


  • Share more about themselves through a personal profile page.

But how did we get there?

Our design process comprises user research, concept development, wireframing, prototyping, and testing. We begin by defining the problem and identifying user needs. Next, we move to usability of the current application and benchmark direct and indirect competitors. Then, we start ideation phase using methods like brainstorming, design thinking, crazy 8's, and mapping. After filtering and selecting ideas, we proceed to sketching and wireframing, followed by creating high-fidelity prototypes. Finally, we test these prototypes with users and make necessary design adjustments based on their feedback.

Let's have a look…


Based on video interviews conducted on Zoom and customer insights observed on Maze, our research has revealed that:

Users decide not to move forward with booking a table at a restaurant with OpenTable because they are unsure if they can trust someone's review whom they do not know. They believe they would have a more reliable and authentic perspective on the restaurant's quality and overall dining experience if they could filter for reviews from people they know.

Usability Review

To ensure our solution effectively addressed the problem, we conducted a usability audit of the existing interface. This allowed us to identify key areas for improvement and understand the user's needs and pain points. Our findings helped inform our problem-solving strategies and ensure we met the user's needs.

For usability review we focused on identifying pain points and wow moments to find out how easy the product is for users with step by step until they achieve their goal.

Figjam Link

Business & User frustrations

Users of OpenTable are frustrated with the inability to view and verify other users' profiles, making it hard for them to trust reviews and make reservations at new restaurants.

Primary Frustration

When deciding to book a table in a restaurant users are not confident on making a decision as they cannot check their friend's latest reviews on restaurants rather than strangers before moving forward with a reservation which results in decrease of booking through the app.

Secondary Frustration

In addition to the primary frustration, when using the app users cannot connect with friends which also results in a decrease to the conversion of bookings too.

Competitor Benchmarking


To ensure that our solution was competitive in the industry, we conducted a competitor review to understand the strengths and weaknesses of both our direct (Resy) and indirect (TripAdvisor) competitors. We looked for opportunities to improve upon their pain points and wow moments in order to create a new interface that met industry standards.


Figjam Link

Problem Space

Research on competitors showed the importance of industry standards in product development and keeping us grounded in design decisions. Early research is crucial to understand competition and improve our product before going to market. Here are some questions we asked ourselves:


Ideation


The ideation phases that were followed in this case study were as follows:


  1. Brainstorming ideas: Based on the insights gathered from the research, we brainstormed several ideas and solutions to address the problem. Mind mapping was used in the ideation phase to write down moments to be improved and features that needed to be added, based on initial research. Crazy 8's promoted collaboration which can lead to more diverse and creative ideas.


  2. Evaluating and selecting ideas: After generating a list of ideas, we evaluated each one based on its feasibility, potential impact, and alignment with the OpenTable brand. We then selected the best ideas to move forward with.




Some of the Crazy 8's ideas…

User Flows

The original user flow allowed users to view reviews on a restaurant's page, while the improved user flow includes synchronising contacts from you chosen account, profile verification, avatar with photos and not just Typograph, possibility to leave comments on reviews, follow other users, apply filter for rating reviews and sort by raking (expert, intermediate, beginner) increasing trust and booking speed.

-These user flows were made through the process, the final one you can see in the video scrolling down the page.

Rapid Prototyping


Wireframing was used to create a user profile with features like verification badges, photos, sync contacts, follow users and applying filter to help users find the information they need to book a table smoothly.

Styles & Components


High Fidelity Prototype

The high-fidelity prototype improved an existing interface while maintaining its current design, addressing user issues and meeting budget and time constraints. It included new pages and components showcasing an easy way to find and book a trustworthy restaurant.

Usability Testing

For this case study, we used Maze.co to conduct usability testing in order to gather valuable insights on the latest feature and pinpoint any potential problems or areas that require enhancement.

When I did the first test this is the result I had. Then I listened to the feedbacks, studied the data and started the adjustment.

When I did the first test this is the result I had. Then I listened to the feedbacks,

studied the data and started the adjustment.

Then after the adjustments this is what I got:

Outcomes

The best outcomes in a business perspective for OpenTable were:


- Increased user engagement and satisfaction

- Enhanced trust and confidence in the app's recommendations

- Higher user acquisition and retention rates

- Potential for increased revenue through more bookings and partnerships

- Valuable user data for targeted marketing and personalisation

- Competitive advantage in the market.

Three key learnings

  1. The design thinking method is not a rigid, linear path, but rather a flexible and adaptive approach where revisiting previous steps to make adjustments is common practice.

  1. Early and consistent collaboration with the team is essential, requiring clear communication and a willingness to consider diverse ideas.

  1. Testing phase is essencial as it ensures us that the app will function properly and provide a good user experience for the users.

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