top of page

From Assumptions to Evidence: Competitive Benchmarking Web Ordering Performance​

Project Overview

A qualitative study running usability tests on our design and on the designs of our top two competitors. This study is focused on specific user tasks and gives an in-depth look at key areas and functions of the site.

My Contributions
  • Outlined study goals and metrics

  • Identified competitors and test criteria

  • Created test script

  • Analysis & documentation of results

  • Determined formal recommendations / next steps

  • Communicated results to stakeholders 

Screenshot 2022-09-16 at 12.45.48.png
- My Process -

Web Order Competitive Benchmark:

 

Goal of Repeatable Benchmarking:
  • Measure our design vs our top-identified competitors

  • Take an in-depth look at how our competitors solve the same problems

    • What they are doing

    • How they are doing it

    • What is and is not working for them

  • Track improvements of the experience over time while also tracking
    the improvements of our competitors

​

​

Occurrence

Quarterly 

​

​

Approach

I chose to approach this study as an unmoderated usability test, so as to not influence the natural decision-making of the user. This also allowed user's to complete the study in a realistic environmental context.

​

​

Recruitment Method

For this benchmark, I recruited participants through UserTesting.com. All participants were set in the same geographic location, identified as one of our main target markets. Each participant went through a screener of having ordered a similar type of cuisine on mobile web order in the past to allow for feedback to be compared to past experiences.

​

​

Challenges

Due to the ordering experience requiring participants to enter personal information such as address, name and payment details, I was unable to run a full test with participants placing a real order. This restriction came with the software I was using, Usertesting.com not allowing for the capture of any personal identifying information. As a result, I provided users with an address and payment details which they were asked to enter during the task.

​

​

Core Tasks
  1. Input delivery address

  2. Browse the menu & add items to order

  3. Navigate to the checkout

  4. Add payment details

​

​

Metrics​
  • Successful task completion: % of tasks that test participants complete correctly

  • Critical errors: Errors that block the user from successfully completing a task

  • Non-critical errors: Error that does not affect the ability to successfully complete a task but does impose a lag in the experience

  • Task Satisfaction: How participants felt about the task

  • Test Satisfaction: How participants felt about the overall experience

  • SUPR-Q (Standardised User Experience Percentile Rank Questionnaire) 

​

​

Outcome

From this study, I was able to identify key areas for improvement and build a foundation for what makes a mobile web order experience 'Best-in-class'. 

​

​

 

What is most important to our users:
  1. Social Desirability: Users are heavily impacted by ratings/reviews when it comes to ordering food online. As white-label platforms are without these, we have to find alternative ways to build trust between the restaurant and the consumer.

  2. Convenience: A user's primary motive for ordering food is the fact that it is low effort. Their goal is low effort — high reward.

  3. Efficiency: Users are most likely to order online when with at least one other person. The faster they can get back to their social environment the better the experience.

 

Next Steps
  • Recommendations presented to PMs & Head of Product

  • Recommendations to be translated into backlog items in Jira (ranked by severity)

  • Follow-up benchmark to run in the next quarter

Screenshot 2022-08-04 at 17.05.39.png
bottom of page