AI UX Research
Get to deeply know your users and how they use your AI/ML/data science based application.
Creating user-centred AI is simpler when you understand who the users are and how they behave with AI driven experiences. We conduct AI UX research that uncovers specific insights into your AI ecosystem - be they customers, users or partners.
insights and answers
- Who are your AI users, what are their Journeys and goals?
- When is your audience using your AI products, and what are their experiences?
- What insights do our stakeholders expect to recieve from our analytics?
Ready for a free consultation?
+1 416.855.3367 (CAN)
+44 (0)1223 853907 (UK)
contact@akendi.com
What you get
- Data visualizations that captures the AI UX research findings in an engaging form that can be shared throughout the organization. This communication will keep the users top-of-mind during planning, design, and development.
- Clarity on who your AI users are, how they think, and what they need to complete journeys and achieve their goals.
- Validation of assumptions about your AI users; clarity on the user stories; and new insights into opportunities to surprise and delight them.
How we do it
- Begin with AI ux discovery workshops to capture the knowledge your stakeholders and team already have about your AI users.
- Conduct AI UX research to gather indepth qualitative and quantitative data. This includes interviews, survey research, ethnographic research, focus groups, card sorting, data analytics, and other techniques.
- Present the AI UX research findings to the team in a visual format that brings your audiences to life and informs UX design and development.
What you get
You’ll obtain deep insights into your AI users and their specific experiences. You’ll get:
You’ll obtain deep insights into your AI users and their specific experiences. You’ll get:
- Data visualizations that captures the AI UX research findings in an engaging form that can be shared throughout the organization. This communication will keep the users top-of-mind during planning, design, and development.
- Clarity on who your AI users are, how they think, and what they need to complete journeys and achieve their goals.
- Validation of assumptions about your AI users; clarity on the user stories; and new insights into opportunities to surprise and delight them.
Explore more experience research
EthnographicResearch
UXResearch
CustomerResearch
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Clients we've helped with Experience Research
Blackberry
Telus
Rogers
Finance & InsuranceCRI Canada
Aviva
RBC
Government & Public ServiceCity of Edmonton
Government of Canada
NB Power
University of Toronto
HealthcareCanadian Digestive Health Foundation
Health Canada
Humanware
MedAvail
Nuance
Ontario Medical Association
