Content Recommendation Discovery on MindTools
As a user, I want to see recommended content based on my interests and usage
Project Context
As a performance coach platform, we must have a clear perspective of recommendation content to the user and need to understand questions about:
• How do users want to receive recommendations?
• How can we get data to recommend the right thing without annoying the user?
• Which recommendation tools could we use before trying to build our own?
• How can we build trust in our recommendations?
• How can we show the users that the data they provide is being used for recommendations?
• How can we get data to recommend the right thing without annoying the user?
• Which recommendation tools could we use before trying to build our own?
• How can we build trust in our recommendations?
• How can we show the users that the data they provide is being used for recommendations?
User Interviews and Interface Tests
Running tests using Maze and TryMyUI, 15 questions asked with 7 interactive missions to be completed and 10 users test recorded to build the recommendation scenarios.
Users Feedback and Analysis
Collecting and finding patterns under user feedback, understanding what the user wants with the recommendation, and building user stories to move prototype and implementation.
User Stories
• As a user, I want to see the top 3 most viewed content based on the same user’s role on the homepage, a right-side feature based on the onboarding questionnaire - What is your role? - What is your seniority level?
• As a user, I want to see interactive components on the content card placed as a recommended session - suggesting content that was confirmed as useful content based on similar users’ profiles with an option to update that recommendation by selecting the option to see less item
• As a user, I want to discover what matters to me on the homepage, a right-side feature based on the onboarding questionnaire - What topics do you like to develop today? (group-categories)
UX Debts
The LPQ are the questions asked under the subscription process, they are marketing questions related and not directly connected to the Learning Experience
• What is your Country?
• What is your age?
• What Industry do you work in?
• How many people are employed at your company?
• What is your age?
• What Industry do you work in?
• How many people are employed at your company?
Marketing Opportunity
After the subscription, today, all users receive an email with a link to download an e-book called “Personal Development Plan“which guides the user to understand and track them, such as Strengths, Weaknesses, Goals, Target Date, and Carrer Mission
That information stays with the user in a PDF, which we see as crucial to building richer experiences around the platform, curing relevant content, and helping the users to achieve the goals
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