Probe Results

After testing our probe on participants, these were our insights and results

Participant 1:

Condition: Mild Depression

Insights:

Voice entry

• Finds it useful for more significant events — not daily events
• First be a little weird to speak to her phone but thinks she will eventually get used to it
• Wouldn’t use it in public

Sleep and energy entry

• Don’t see a problem with the current method.
• Very easy to sync with her device.
• Suggestion for appetite section

Types of symptoms

• Dropdown not so effective since there would be long list of symptoms
• Suggestions
• Add prioritized side-effects and symptoms from on-boarding
• Less jargons, i.e. “Nausea” option → vomiting
• First-person perspective to create a sense of agency

Scale (1–10)

• Too granular — difficult to distinguish 6 from 7
• 1–5 or 1–7
• Description alongside the numbers
• Words are better than number scale — can grasp more detail from words
• Sporadic symptoms that comes and go are difficult to categorized under the number scale.

Frequency of symptoms

• Difficulty recalling events in weekly basis
• Suggestions
• More regular basis — “this symptom happened” and the app can calculate the frequency for the user.
• How are you getting the numbers of frequency? This should be different based on the symptoms.

Notification

• Only surface the relevant/frequent notification prompt.
• Suggestions
• Framing questions the “right” way — can be annoying if you ask every single questions
• Reminder for medication intake is helpful
• Users want a strong enough nudge
• What does remind me later mean? Snoozing

Daily events

• Want “checking in” feeling rather than her ranting/writing about the events
• Would prefer Q&A structure
• All conversation would be logged either text or voice
• Real-times speech/text detect real-time and auto-fill data collection
• In this case, daily events need to come first so that the app can extract information for auto-fill.
• Concerns towards redundancy of questions