top of page

Hybrid Learning Service for Older Adults 

Completed at Northwestern University, 10 weeks, team of 3 designers.

This project was completed for a corporate client. The details are omitted for confidentiality.

How might we integrate hybrid learning into an existing online platform in a way that is simple to use and equally engaging for all use cases? 

Final Design

Based on user research, we designed a studio that could be used to accomodate a variety of class types and attendee preferences. We found technologies that would allow the experience of online attendees to be enjoyable and effective. We also found a way for online attendees to interact in small groups with in person attendees, similarly to if they were sitting on the same table.

ML final design BLURRED.png

Skills and Strengths

Skills Gained

IMG_2669.jpg

Designing Complex Services

IMG_1964.jpg

Communicating with Client

IMG_1963.jpg

Remote Research Techniques

My Strengths

IMG_2666.jpg

Advocating for the User

IMG_2667.jpg

Project Management

Research

1

Service Ecosystem

IMG_1969.jpg

Thinking Through Complexity

The service is focused on providing free education and entertainment to older adults. Their ultimate mission is to enable people to age well. The primary stakeholders are the company running the program (our client), the presenters (often act as contractors) and older adults. It was important for us to split the users between older adults joining in person or joining online.

ML service overview.PNG

We developed an extensive stakeholder map and noted the interactions between stakeholders.

ML stakeholder map.PNG

2

Analogous Services

We took a look at services with similar aspects and analyzed them using frameworks. We had experience in a hybrid learning environment as students during the pandemic. We also had experience with meetings in which some attendees call in from a different location. We researched what products were most useful for these cases.

ML analogous.PNG

3

User Interviews

We interviewed attendees as well as presenters. We also had regular meetings with our client. Our interviews started with general questions about their experience with the existing program, subsequently digging into a comparison of in person versus online participation. After we generated ideas, we showed storyboards to get feedback on ideas.

ML interview.PNG

Insights

Some of the most impactful insights are below.

1

Attendees have different reasons for attending. Some want only to learn or be entertained, others want to socialize.

2

Technology interactions need to be streamlined so it is not overwhelming.

3

Hearing and interacting with the other attendees is what drives community.

We learned about the common types of users and created the flow chart below to demonstrate the key attributes that we needed to design for.

ML possible users.PNG

Design Principles

Based on insights and discussions with our client, we synthesized principles.

Flexible to accommodate attendee motivations and class types.

Fun to reflect the company brand.

Safe for attendees and presenters.

Scalable to reach as many attendees as possible.

Approachable for users with varying technical skills.

Ideation and Concepting

We went through several ideation sessions in Mural and translated ideas we felt we wanted feedback on into storyboards like the one's below. We found that for some ideas, storyboards were effective, but for others it was more about showing a particular design artifact.

ML storyboard 2 prototype.PNG
ML storyboard 1 protytope.PNG
ML prototype of screen.PNG

Implementation

We found that creating a flexible in person space that had integrated technology would be the most effective way to create a hybrid learning environment. Our implementation of technology became complex.

ML final design BLURRED.png

We needed a stage area for presenters that had monitors showing online participants. It was important that presenters could see from wherever they were on the stage. The stage was branded but this has been blurred for confidentiality.

MatherLIve Final design.PNG

To ensure that online attendees could see and hear both participants and presenters, we incorporated a system of microphones and cameras that would be able to pick up on the audience as well as the presenter.

MatherLIve Final design.PNG

Because we found that some attendees wanted interaction, while others just wanted to learn the material, we created spaces where people could sit together as well as separately.

MatherLIve Final design.PNG

Tablets on the tables would allow online attendees to "join a table" if they wanted to (will explain more shortly). It was important that online attendees also feel as though they are part of a group. We wanted the tablets to also have the flexibility to be placed on the backs of chairs.

For online attendees that wanted to join without interacting with others, we creating a "sit alone" option that would mean only the presenter would see them. All attendees would still hear a theme song before the class began. They also saw a landing page with instructions on how to use zoom and a fun fact. Call-in only attendees would hear this verbally.

ML storyboard 2 BLURRED.png

For online attendees that want to interact before, during, and after class they can choose "join a table", which will allow them to be seen by a table and easily interact with them via a tablet.

ML storyboard 1 BLURRED.png

Service Blueprint and Playbook

To capture additional use cases and the nuances of the design, we created a service playbook and blueprint.

ML blueprint 1.PNG
ML playbook page 2.PNG
ML playbook page 1.PNG

Feedback and Next Steps

We presented our final designs to the client, including many of the people we did not directly work with throughout the process. They were very happy with and energized by our design. The client especially loved the opportunities for branding that we included.

 

With more time, we would find a way to accommodate for attendees that did not want to be on camera. We also wanted to scope out potential spaces that could be used for the studio.

After some of our testing, the client has already started to implement break out rooms, which we believe will help transition to a model that incorporates more interactions between people who are willing to do so.

bottom of page