Ruth and Michelle have condensed a half day workshop into this 20 minutes presentation [prepare for a whirlwind!]
"What do I do with all this data???!!?"
It's not the data from research that impacts a product, it's the insights from the analysis that are most impactful.
We have to make sure we don't fall into the trap of categorising a finding as an indight
Hierarchy of meaning
Data
Findings
Insights
Actionable Insights
Actionable Insights Framework
1. Gather data 2. Analysis and Synthesis 3. Find themes and create findings 4. Create insights 5. Prioritise 6. Refine actionable insights [takes the longest time!] 7. Organise insights into digestible format
We often have less and less time to work on insights so deliver less actionable insights.
They'll be focussing on steps 4-6
Insight Creation Canvas
Insights are a combination of data and knowledge
Ruth and Michelle are now going through each section of the canvas and how to fill them out.
A good insight is:
—Grounded in data
—Simple in language and context
—Meaningful and memorable
—Fresh perspectives that challenge exisiting assumptions about users
—Aligned to strategic priorities and business goals
They had the what and why so it was time to create their insight
How do you turn an insight into an actionable insight
Situation-Frustration-Future Desire framework
A great insight needs to inspire action!
Thank you both so much @RuthEllison@uxmich!!
(can you post that heirarchy of information slide😀?)
A huge part of design research is emersing yourself in the context and understand people's challenges and needs.
The campaign created characters — a helpful grandmother and child super heros to show kids how to use the toilet, wash their hands, and design the solutions with the community.
Kat is telling a story about the first time she went to a mining site for research — she managed to get 1 question in before the participant asked "why should I help you IT folk out, you're here to take our job?"
Orica is the number one global supplier of commercial explosives 🧨