Mirror – Discover, Connect, Reflect

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Mirror –
Discover, Connect, Reflect

Supporting 16-24 year olds to align their careers with their ambitions and interests by using learning algorithms to provide a tailored experience to each user. Discover opportunities to build on knowledge or work experience. Connect directly to peers for collaboration and employers for insights. Reflect on personal and professional development. Mirror supports the user to understand how they fit in the company as a person before a worker and can provide employers with attitudes and behaviours data and encourage them to use it to tailor the jobs to the people rather than trying to find the people to fit the job.

MA2 – Team 8

Octavia Coutts
Rhea Belani


Tell us what the concept is about. What are you designing? What are the key benefits?

Mirror uses learning algorithms to help young people aged 16-24 to search and find more fulfilling lifestyles by personalising their exploration experience and enabling personal development alongside their careers unlike the many sites out there like Linkedin or Monster that provide a solely career focused service. Benefits for young people include more agency in building a career that aligns with interest and exploring and learning new things without wasting time. Mirror also provides a service for employers with benefits including access to real-time attitudes and behaviour data adding valuable information for HR systems.


Tell us some of the key findings of your background research and what is the problem you are trying to address.

We’ve understood that developing a strong identity, meaning having high self esteem and emotional resilience, is very dependant on this balance between your personal and professional development. Personal focuses on building up your knowledge and skills and your professional development refers to the learning of professional credentials which can be obtained independently or within the workplace.

In addition, we know that people careers have a huge impact on there identity: “yes because you are selling your time…it defines who you are” (Interviewee quote)We have gathered the following insights from conducted many one on one interviews with people aged between 17-26 from varied backgrounds. People need to be able to spend their time in an effective manner to stimulate personal development. Yet financially do not have time to search for the best job and end up settling, just to end up feeling unsatisfied. Young people are feeling increasingly pressured to move out the family home and get their foot in the career ladder as well as keep up with their peers financially, intellectually and socially. This is otherwise known as the quarter life crisis currently affecting 3 out of 4 young people according to CNBC.


Tell us something about your users and key stakeholders involved.

Our key stakeholders include young people who are interested in developing themselves personally and/or professionally and looking for support to do so. This could be from changing a job, to deciding whether or not to go to uni. Our other main stakeholder are employers as they provide the revenue to support Mirror and make it free for young people to use. By paying for the service they receive valuable data in exchange which they would otherwise be looking for in Facebook or Instagram which can be very misleading information as it’s based on curated profiles rather than behaviour patterns.


Give us an idea of the future scenario where your project will be working. 

We know that many young people are currently struggling with their personal and financial situations so we see Mirror being released within the next 3 years as we anticipate this issue will only get worse.


Tell us if you have thought of a specific location where to prototype.

We have chosen London as our first prototyping location as we have access to our target audience, in huge numbers, for further development and testing.


Give us an idea of your strategy, your process, your prototyping plan and the next steps.

Our process included working alongside several prospective users that our personas were based on to ensure that all features are based on real needs and not just assumptions. This also meant we got validation throughout the prototyping process rather than just at the end. Our plan is to further understand and develop the learning algorithms alongside some experts. This will help us understand further how each feature can be improved. We have two more sub-features we would like to test within the digital service. We would also like to get further validation of our hypothesis using more social media marketing in order to understand the demand of the market. If this is successful we can prototype further and attempt some infield testing (starting small with a few willing participants with a low-level working digital service)