Target groups and need finding
In this projects we wanted to design something that could be used as generally as possible. Considering target group needs, we ruled out, at least for this phase, the needs of some industries that have really special working environments. This was done because special environments have special work safety need. We considered something more general instead. Therefore we chose as a rough, tentative target group employees that work in indoor environment like offices, retail stores, hospitals etc. So heavy industry was excluded.
For customer segmentation and grouping we used different methods. First we used the Lean Service Creation (LSC) customer grouping canvas by Futurice Ltd. We filled there two groups: project manager and customer service person in pharmacy.
We created two personas to represent some of the potential users.
We also conducted three interviews in order to learn more about the work and work context of the potential users. The most important findings we had from those were that employees have risk of bad ergonomy, static poses, fatigue of eyes caused by light. They had a need for remembering to stand up and do some exercise occasionally. They also needed to adjust their chairs, tables and lights in their work space.
The materials from our methods can be found as appendix at the end of this blogpost.
Persona 1:
Name: Pekka
Pekka works as a product manager in Nvidia. Nvidia is a large multinational company and that is why Pekka is responsible of many different teams and must sit almost 6 hours a day in meetings.
Pekka is 40 years old and has a wife and two children. He is living in Tampere but he’s travelling a lot due to Nvidia’s worldwide projects. Pekka has work experience as a product manager and as a coder. Pekka has also studied computer graphics and is currently working in a Nvidia’s new component driver optimization team.
Pekka easily forgets his keys or gets irritated by the many different security ID-cards, that he must carry around. That is why Pekka wants some smart clothes, that will erase this problem and make his life easier and to make his work as a project manager easier.
Persona 2:
Name: Pihla
Pihla works as a laborant in a hospital. She is responsible for medications that are produced in the hospital’s lab. The lab is behind many security doors that require multiple access cards. That’s why the hospital has moved to a system where everyone has a smart clothing and a link device. They identify that the user is the correct one and let workers through the multilevel security doors.
She saves time because she doesn’t have to reach for multiple keycards in her pockets and read those on the card readers. Before this new system she sometimes even forgot some cards and had to return to the office where she leaves them.
While in the lab and office her chair and table adjust to her preferences that are stored on her link device. If the clothes detect that her posture is not good, the link device will make automatic adjustments to the table and chair, so her posture would be better.
For customer segmentation and grouping we used different methods. First we used the Lean Service Creation (LSC) customer grouping canvas by Futurice Ltd. We filled there two groups: project manager and customer service person in pharmacy.
We created two personas to represent some of the potential users.
We also conducted three interviews in order to learn more about the work and work context of the potential users. The most important findings we had from those were that employees have risk of bad ergonomy, static poses, fatigue of eyes caused by light. They had a need for remembering to stand up and do some exercise occasionally. They also needed to adjust their chairs, tables and lights in their work space.
The materials from our methods can be found as appendix at the end of this blogpost.
Customer grouping canvas
Persona 1:
Name: Pekka
Pekka works as a product manager in Nvidia. Nvidia is a large multinational company and that is why Pekka is responsible of many different teams and must sit almost 6 hours a day in meetings.
Pekka is 40 years old and has a wife and two children. He is living in Tampere but he’s travelling a lot due to Nvidia’s worldwide projects. Pekka has work experience as a product manager and as a coder. Pekka has also studied computer graphics and is currently working in a Nvidia’s new component driver optimization team.
Pekka easily forgets his keys or gets irritated by the many different security ID-cards, that he must carry around. That is why Pekka wants some smart clothes, that will erase this problem and make his life easier and to make his work as a project manager easier.
Persona 2:
Name: Pihla
Pihla works as a laborant in a hospital. She is responsible for medications that are produced in the hospital’s lab. The lab is behind many security doors that require multiple access cards. That’s why the hospital has moved to a system where everyone has a smart clothing and a link device. They identify that the user is the correct one and let workers through the multilevel security doors.
She saves time because she doesn’t have to reach for multiple keycards in her pockets and read those on the card readers. Before this new system she sometimes even forgot some cards and had to return to the office where she leaves them.
While in the lab and office her chair and table adjust to her preferences that are stored on her link device. If the clothes detect that her posture is not good, the link device will make automatic adjustments to the table and chair, so her posture would be better.
Notes from interview 1
Notes from interview 2
Notes from interview 3
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