How might the user express their tastes in an accessible and digestible fashion?
At a glance
Role
Product Designer
Team
Worked with the founders, in a cross-functional team of designers, engineers and management
Tools
Figma, Adobe XD
Timeline
September 2020 – September 2021
Status
Area22, an early-stage start-up, was later acquired by TELUS
What it shows
User interviews and insight statements
Blue Sky mapping
Wireframing in Adobe XD
User testing, and the changes it led to
Final screens from the Andy app
Discover
Andy is an artificial intelligence assistant that helps its user reach their viewing content in a faster, more accessible fashion, by learning from the user’s personality and mood. Doing this allows Andy to identify the user’s tastes, likes and dislikes, allowing Andy to give the user more accurate and consistent content as it learns more about its users.
Throughout the process it has been a vital point to understand the user base, what they want from an app like this, and how they might want to interact with it. This has led to some very interesting explorations and feature developments.
I was Area22’s product designer from September 2020 to September 2021, working with the founders. The start-up was later acquired by TELUS.
Blue Sky map: how can the user express their tastes?
Define
Interviews
J
Jack
Student
Pain points
Still haven’t figured out how to control what shows Netflix shows him.
Key insight
Lack of accessibility and control lead to longer times spent for Liam to consume content.
Opportunity
Give the user more control over their tastes through a potentially physical location within the app.
L
Liam
Student
Pain points
Has very niche tastes depending on time of day and what’s going on around him.
Key insight
Liam often feels like the content that he knows he wants to watch is not readily available to him.
Opportunity
Give the user the ability to adjust their niche tastes according to their mood. This could lead to more accurate content retrieval.
Insight statements
ContextDilemmaWhyMotivationIdealInsight
Context
Lack of accessibility and control can lead to elongated searches for content on apps such as Netflix and Prime.
Dilemma
An excess of content leads to indecisiveness in decision making for the user.
Why
Netflix etc. do not offer personalised ways to control the content that you see.
Motivation
Fixing this will lead to less time spent searching for content and more time actively experiencing it.
Ideal
Andy can immediately devise the mood a customer is in for a quick conversation and determine what content to show.
Insight
There are no accessible means of finding movies or shows that don’t involve spending an excess of time searching through apps, leading to anger.
Context
Niche forms of content can be difficult to find due to lack of complete control over tastes.
Dilemma
Finding content based on the mood a user is in is very difficult and can lead to the user settling for something.
Why
Leading content companies focus on common genre names and buzz words to help locate content.
Motivation
Fixing this and allowing the user to search for a more expansive list of categories will in turn refine their search.
Ideal
The user will be able to describe their mood and the type of content they plan on watching, and these are all that will be offered.
Insight
Settling to watch already-seen content because it is all a user can trust has become far too common, and leads to a negative relationship with this time.
Design
Wireframing through Adobe XD.
(open larger image)Access Tastes from the home screen. This is divided into likes and dislikes, allowing the user to amend these at their own will.
(open larger image)User can sort these buzzwords based on alphabetical order or rating.
(open larger image)Drag the slider up or down to change your thoughts on an actor, genre or sub-genre.
(open larger image)By dragging the bar the user will change the percentage for this bar. 100% is super like while 0% is never show.
(open larger image)This will rearrange the order and allow the user to begin their search for content, with Andy now having learnt from their changes.
(open larger image)User can search for their content. If it is not as expected the process can be completed.
Deliver
We run all features through a rigorous testing system in order to realise their best forms. Currently this is done with family and friends as this is still a small start-up. A briefing of what the feature is is given to the test group. They are then given time to use it and report any confusion they may have had. These are then filtered and addressed accordingly.
(open larger image)Access filters to allow for more digestible consumption of content. This is divided into director, genre, language, mood, rating, subject and year.
(open larger image)Filtering will only show you the taste that you have previously added to the list, to prevent a build-up of clutter and confusion.
Area22 was later acquired by TELUS. Looking back, the work pointed to three next steps:
Test beyond family and friends. Every feature so far was tested with family and friends, because Andy was still a small start-up.
Let Andy read the mood. The insight statements imagine telling Andy how you feel in a quick conversation, and being offered only content that fits. The home screen’s “Try saying…” prompt is the start of that.
Measure the time saved. The aim was less time searching and more time watching. Timing how long people take to choose something, with and without Andy, would show whether it delivers.