Week 6— Interview Notes

Narrowing down product features and new interview notes

Katie Chen
Design Senior Capstone 2020
2 min readFeb 18, 2020

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Key Decisions Made:

We have decided to move forward with a more patient-centric application as a trend we’ve noticed from our interviews is that patients are typically more open and receptive to incorporating technology rather than psychiatrists. Some psychiatrists are, but others don’t see the value as much whereas all of our patient interviewees have mentioned that they think this application would make them feel more secure and build trust between them and their doctor.

Psychiatrist interview notes:

  • Value in preliminary diagnosis and somehow mapping triggering events on the daily to certain moods
  • Psychiatrists are kind of not so open to technology/new changes but patients find idea interesting and helpful
  • will improve trust between psychiatrist and patient
  • Side effects for different demographics
  • Reminders to take medication
  • Doctors are interested in how much medicine you’re taking
  • Value proposition: tracking medication taking (adherence)
  • use Measurement Based Questions

Idea for Structure of Application — 3 layers of depth:

  1. Very easy — notification asking if you’ve taken your medication, notification asking if you want to log your data
  2. Logging basic data — answer short basic questions
  3. Logging more data — answer more in-depth questions, maybe text analysis journalling

User gets what they want out of it — basic analytics, very low effort interaction VS intense analytics, high effort interaction

In the future:

  1. Smart alerts (like the smart siri suggestions: smart prompting notifications due to previous trends)
  2. Text analysis to detect mood — ask user open ended question about their day and use a text analysis API to detect what kind of mood the user is experiencing that day (negative/positive) based on their word choices. Alternative way to ask for their mood.

What we need:

  1. Auto-population of medication (database)
  2. Ability to scan medication barcode (or text)

To-do (2/18):

Probes to see what kind of data is needed/questions to ask for the 2nd layer of depth (See Sharon’s medium post for schedule)

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Katie Chen
Design Senior Capstone 2020

Senior at Carnegie Mellon University studying Communication Design and Human Computer Interaction. Incoming UX Designer at Goldman Sachs.