Culture Booster

TL;DR

Summary: Culture Booster is a startup organization with a mission to improve people’s work lives. They have developed an employee engagement software (EES) that helps organizations, share feedback, improve collaboration, make goals, and capture innovation amongst their employees. Since their launch in 2021, their client roster has expanded and they are now looking to extend the features that are offered within the software. The focus for this project was on two new features: Stars and Suggestions. The concepts and underlying principles behind the need for and implementation of these features are well-established, so the focus of this project was on the opportunity space of exploring the forms they take and how they are integrated into the platform. Research was done to assess the strengths and weaknesses in the current market and a Kano analysis was used to determine what is most important to the consumer. Annotated wireframes were delivered to the client outlining the new features that will further the company’s mission of improving workplace culture, collaboration, and the work lives of their clients.

Tools: Figma, FigJam, Google Sheets

Deliverables:

User journey map

Recommended features report

Role: UX Researcher and Designer

Collaborative Work: Competitive analysis, stakeholder interview, tech scoping, dot voting, Kano analysis data collection

Individual Work: User journey map, feature card sketching, Kano analysis result synthesis, annotated wireframes, client report



Research & Evaluation

Competitive Analysis

To determine what already exists in the market and find opportunity spaces, a collaborative competitive analysis was completed. Data was collected in Google Sheets and the features of various software programs were scored. This helped to lay the groundwork for the rest of the project: I was then familiar with which features were already well-established in the market and where there were gaps and opportunities for innovation

Competitive analysis data collection


Stakeholder Interview

Next, the CEO of Culture Booster was interviewed in order to create a shared understanding of project goals, user and organization needs, context, constraints, and current beliefs. The focus of the project was narrowed down to two new key features for the software:

  • Stars: An employee recognition tool

  • Suggestions: A way to capture employe ideas and encourage innovation

The concepts and underlying principles behind the need for and implementation of these features are well-established, so the focus of the project was on the opportunity space of exploring the forms they take and how they are integrated into the platform.


 User Journey Map

After meeting with the stakeholder and getting a good feel for the company’s customer base and the features they were planning to implement, a User Journey Map was made to help visualize the experiences users would have when interacting with the product. By documenting a series of events and interactions both with and without Culture Booster, I could pinpoint important moments in the process and determine which scenarios would elicit strong emotions and how the product could effectively augment existing user behavior within their actual contexts of use

 
 

Feature Cards & Tech Estimation

With a good understanding of the space we were working in and the journey our user would be taking, the next step was to brainstorm the many forms that these new features could take. As a team, we sketched a total of 85 artboard sketches in order to get a wide variety of innovative ideas

We met with Culture Booster’s engineer for tech scoping where he estimated the cost of each of the new features which helped us understand the range of possibilities that could be built within the budget of 20 points/20 days.

Artboard sketch of Suggestion features

 
 

Tech scoping meeting

 
 

Artboard sketch of Star

 Kano Analysis

To prevent a “more is better” approach while we developed new features, a Kano analysis was used to prioritize which product attributes were the most important to real customers. With the scope of the project and budget in mind, our team used dot voting to narrow down the feature options to 10. These 10 features were sent out to current users of Culture Booster software with questions that were used to determine what users valued in the product, why, and how we would prioritize the features going forward.

Kano analysis results were compiled as a team, then analyzed individually. The chart below represents the user responses regarding the features that I eventually chose to move forward with. The features I prototyped were chosen because they scored highly in the amount they were desired, required, or acted as an exciter/delighter for the customer, ensuring that the final product would provide value to the users.

 

Results of User Testing

 

Key

 

Love to Kano


Recommended Features

There were 5 final features that were selected to fit into the allotted budget of 20 points. Those new features were made into high-fidelity wireframes that were then annotated to explain their functionality. This was all compiled into a report for handoff to the client. See an example of the annotated wireframes below or click for the full report


Takeaways

  • Culture Boost is a startup dedicated to improving workplace culture in a synergistic, intuitive, and positive manner rooted in gratitude

  • The Stars and Suggestions features that are highlighted in this project were the ones that current users found the most satisfying, functional, and important

  • Together, the key features highlighted in the annotated wireframes are designed increase employee engagement and positivity, contributing to Culture Booster’s mission to improve the work lives of every employee