Notification Model
Client:
Philips DesignTeam:
Berkay Taskin | Josje WijnenMy Contribution:
User Research | Wire Framing | Prototyping | Modelling User Experience | Interaction Design | User Evaluation
Introduction
Philips is a large company with many domestic products like a vacuum cleaner, coffee machine and a toothbrush and many more. Nowadays these products have apps connected to them. These apps provide the user with an extra service. This can be done via notifications. The goal of this project was to develop a horizontal model that applies to various product families for useful notifications. To support the wide range of different products while having a consistently pleasant experience with the overall product.
Vision
One model for all noticifactions across different product lines.
One model for all noticifactions across different product lines.
Mission
Create a horizontal model for making notifications from Philips consumer healthcare product-apps valuable to users.
Create a horizontal model for making notifications from Philips consumer healthcare product-apps valuable to users.
Action
Process
Requirements
In an initial client, meeting requirements were gathered from a business point of view.
Research notifications
Asking people about their experience with notifications, settings of notifications and research upon existing apps. We interviewed people about the notifications they had turned on on their phone, and why they had turned those on. We also asked for examples of notifications that were turned off by the users. We investigated the different channels through which notifications can be given like webpage, desktop, email, face2face, phone call, mail, instant messaging, app etc. Properties of notifications were discovered for phone app notifications as were a different type of triggers that could trigger a notification. The way of delivering a notification was also researched; modalities (sound, vibration, light), location, strategy.
Philips apps
We tried out a number of Philips apps to see which type of healthcare apps there are and how they currently deal with notifications. From that research, we were able to distinguish 3 types of notifications.
Competitor apps
Competitor apps were looked into from this we could make mapping of the notifications related to the user of the app if you use the app as a new user or a frequent user then you will get a different type of notifications, from this we could distinguish good and bad notification examples.
User stories
With an internal workshop, we came up with a number of user stories per user type(i.e., new, frequent, and stopped user) and per product family(i.e., household, personal care).
User survey and interview
Via a Likert scale questionnaire, we asked users to which extend they agreed with the provided stories. 8 people were asked to participate in the questionnaire after the questionnaire we followed up with an interview to gain a deeper understanding of the reasoning behind their ranking. From the questionnaire, a clear understanding was gained into what people expect from notifications and what they like and dislike about them. We learned that it is important for users to have control over the notifications and that they like to be able to tailor the settings accordingly.
User journeys
From the interview, different focus areas could be distinguished. From there we created user journeys on how they would interact with the notifications
Process
Requirements
In an initial client, meeting requirements were gathered from a business point of view.
Research notifications
Asking people about their experience with notifications, settings of notifications and research upon existing apps. We interviewed people about the notifications they had turned on on their phone, and why they had turned those on. We also asked for examples of notifications that were turned off by the users. We investigated the different channels through which notifications can be given like webpage, desktop, email, face2face, phone call, mail, instant messaging, app etc. Properties of notifications were discovered for phone app notifications as were a different type of triggers that could trigger a notification. The way of delivering a notification was also researched; modalities (sound, vibration, light), location, strategy.
Philips apps
We tried out a number of Philips apps to see which type of healthcare apps there are and how they currently deal with notifications. From that research, we were able to distinguish 3 types of notifications.
Competitor apps
Competitor apps were looked into from this we could make mapping of the notifications related to the user of the app if you use the app as a new user or a frequent user then you will get a different type of notifications, from this we could distinguish good and bad notification examples.
User stories
With an internal workshop, we came up with a number of user stories per user type(i.e., new, frequent, and stopped user) and per product family(i.e., household, personal care).
User survey and interview
Via a Likert scale questionnaire, we asked users to which extend they agreed with the provided stories. 8 people were asked to participate in the questionnaire after the questionnaire we followed up with an interview to gain a deeper understanding of the reasoning behind their ranking. From the questionnaire, a clear understanding was gained into what people expect from notifications and what they like and dislike about them. We learned that it is important for users to have control over the notifications and that they like to be able to tailor the settings accordingly.
User journeys
From the interview, different focus areas could be distinguished. From there we created user journeys on how they would interact with the notifications
