
The problem space
The brief.
How might we design a mobile app that utilises smart meter data to reduce the negative impact of domestic energy consumption and positively engage households with climate action?
(For this project, a research pack was provided with archetypes, personas and conducted primary research with users).
Exploring the problem space.
In the UK, we have stopped using coal as a source of fossil fuel energy but still heavily rely on oil and gas.
Smart meters.
Smart meters were introduced as a government scheme to encourage households to reduce their energy consumption.
Understanding the target users
Chosen target users.
The chosen user group is a middle-class, privileged family. They are early adopters of new technology and climate changing investments such as solar panels.
Secondary research.
Using the IBM assumptions toolkit, assumptions were mapped and then prioritised into an assumptions priority matrix.
Secondary research was used to validate assumptions before progressing further.
Proto personas.
To create more empathy with the user, a proto persona of the key user was created to understand their goals and pain points.
Insights gathered.
All key findings were drawn out from the research pack and a laddering technique was used to pull out the deeper meaning behind the data and helped to develop these insights.
User needs statement.
As a busy father of two, he needs to find an achievable, realistic way to reduce energy wastage without sacrificing his comfortable lifestyle, so that he can contribute positively towards climate change and feel hopeful that he is helping to provide a better future for his daughters.
UX vision statement.
There is an opportunity to design a mobile app for a busy, tech loving family who want to positively engage in climate action and reduce their household energy wastage but still continue to use the tech they love when they want to.
Understanding the target users
Design principles.
Engaging.
It makes energy saving interesting and insightful, without people feeling judged or forced.
Responsive.
It adapts and learns from the family’s behaviour, only providing suggestions which are tailored to their habits
Community centred.
The core mission is to get more people involved in adapting better behaviours by putting more back into the community.
Ideating key features.
The MoSCoW method was then used to prioritise the key features.
Incorporating AI.
For this app, the main usage will be to suggest personalised and realistic energy saving measures for this specific user, based on their past use and smart appliance data.
To determine to value of using AI to do this, a confusion matrix was generated.
Initial sitemap.
A user story was created to help focus the ideation of the design and the flow to focus on.
A simple site map was created based on the screens that were deemed as necessary.
Storyboard.
The storyboard was created to help visualise the product and the context of use, and identify possible issues before prototyping begins.
User (data) flow.
The chosen pathway from the sitemap was then developed into a user flow to visualise how the user might navigate through the app.
Lo-fi prototyping
Lo-fi user testing.
For the user testing, a low fidelity version of the prototype was created. The screens were initially hand drawn individually onto paper.
The screens were then photographed and uploaded into Marvel to carry out ‘paper in screen’ prototyping.
The first stage of testing was to see if users agreed with the layout of the flow and whether any changes would be needed.
Mid-fi prototyping
Key findings from user testing:
- Some type of notification was needed to prompt app use.
- Some level of personalisation would be good, i.e. including the user’s name somewhere.
- The user liked the idea of a community reward but felt that the reward should be tailored to her in some way.
-The user didn’t like having the daily task on the home screen as it felt like it was a forced task rather than something to look at when she had time.
- More graphics are needed to make it more entertaining, as energy saving isn’t an interesting topic by itself.
-The user liked the idea of connecting smart appliances to the app and felt it would be helpful to automate some of these processes.
Reflection and future changes
Validating assumptions.
The prototype was based on some assumptions that need to be validated and tested further. If given more time, this would be imperative before re-iterating the prototype and further testing.
Opportunities for improvement.
Providing the user with a choice of community goals so they can pick the one that motivates them the most.
Having a personal assistant to ask questions to help refine the suggestions and automate settings.
Create some type of family engagement or event through the app.
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