The understand phase of the project started with stakeholder interviews with the board members within the Finnish Immigration Services’s (Migri) leadership, as well as research on the current decision making process.
We used a lean canvas to pinpoint the challenge and to predict possible impact.
Trends and future tech
Technologists brought insight of limitations as well as inspiration with trends and future tech.
To gather deeper understanding, we invited groups of stakeholders to brainstorming sessions.
as part of a KPI workshop to establish a common understanding of what we measure and how.
by 2020 an AI assistant is a member of the Migri board. It runs meetings, supports decision making and provides data to other board members.
data and AI will support before, during and after a meeting
Requests sent to data analyst to collect and visualise
Manual scenarios created for each topic to help decision making
AI assistant provides direct connection to the data and produces automatic scenarios to help decision making
After the vision phase we designed a list of features for the first prototype. Using quick, low fidelity wireframes we designed the first interface for the tool.
First wireframes of the topic hierarchy
High fidelity prototype to pitch for the need of this concept.
The research and development phase is currently ongoing. The agile development team benchmarked existing solutions for meeting management, but could not find a tool that fits our needs or allows enough custom development options. This means that a custom solution will be built. The technical architecture is currently being designed taking the data security into consideration.