A/B/C/D Testing
Message & Meeting Flow

 
message modal.png

Context

PeopleGrove wanted to drive current college students to message alumni to boost engagement on the platform. In addition there was a goal to increase the number of meeting requests that students make with alumni. I led a series of live moderated usability tests to measure a variety of designs and see which CTA to add a meeting request had highest success. I measured multiple prototypes with this framework called a System Usability Scale (SUS).

Methodology

 I ran live moderated tests with college age students. This was the System Usability Scale survey users filled out after reviewing each prototype in randomized order. This is the experiment outline. These were notes from the live moderated tests.

Prototype A

This approach involved the student user type first sending a message to an alumni user type and then afterwards seeing a modal with a confirmation of the email being sent and suggesting the user additionally request a meeting.

message A 1.3.png
prototype b 1.1 split view.png

Prototype B

This approach involved letting the student user have an option at the very beginning to only send a message or elect to send both a message and meeting request at the same time.

Prototype C

This was another variation of a modal pop up after the message had been sent. The main variable here vs Prototype A was that available times to schedule a meeting were previewed immediately.

 

message c 1.3.png
prototype d 1.1.png

Prototype D

This was also a split view with a choice upfront for the user between sending a message or scheduling a meeting. There were slight UI differences between this and Prototype B especially with the way the meeting times were presenting later in the prototype.

 

Results

Here are the raw System Usability Score results. Prototype A and Prototype D performed the best. I ran an additional follow up test using this script and made a revised prototype based on user feedback and insights. We settled on the modal pop up vetted with certainty that we’d hit our objective of students sending both a message and a meeting request to an alumni. The last step would be A/B testing on the platform itself. 

 

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