Problem

Floodlight™ MS is only as good as the data it collects, and patients were simply not taking their activities with enough consistency. I worked closely with the user research team to find out why.

• Some users were taking their activities but were not doing them correctly

• We observed some accidental user gestures that would cause an error

• Despite in-app reminders and push notifications, it was hard for some users to remember to take the activities and remain motivated throughout the year

Impact

• Reduced decision-making time from 2 weeks to 1-3 days and enabled longer-term product roadmaps. Read about it here: Improving Floodlight™ MS internal processes

• Delivered strategy and multiple features to improve patient adherence. Read about it here: Improving Floodlight™ MS patient adherence

• Delivered a journal feature to improve data contextualisation. Read about it here: Improving Floodlight™ MS data contextualisation

Learnings

• FDA-approved digital devices face unique challenges. Changes to the device’s intended use (for example, from data visualisation to data interpretation), can trigger re-submission for approval, which is costly and takes a minimum of 90 days.

• Testing with real users is imperative when working with people who have some degree of disability, which in the case of MS can be both physical and cognitive.

• Translations are a huge factor that greatly impacted our workflow: working closely with the localisation team was key to avoiding delays in releases.