Survey of 500 Quantified Self Users Reveals Top Data Collected and Tools Used
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This document summarizes the results of a survey about quantified self-tracking. The survey found that: - The top 5 things people track are weight, sleep, steps/walking, activity logging, and heart rate. - The most commonly used self-tracking tools are spreadsheets, pen and paper, Fitbit, MyFitnessPal, and Moves. - Respondents' goals for self-tracking include integrating data easily without giving up control to any one company and running peer-based workshops on data analysis. - The greatest challenge is maintaining ease of use and automation for long-term data collection.
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Survey of 500 Quantified Self Users Reveals Top Data Collected and Tools Used
- 1. A survey of the uses in quantified self CC-BY-SA | ulrichatz.eu
- 2. What are people looking for?
- 3. Wearables
- 4. Why do a survey? We estimate around 500 unique tools. (Matches the 505 tools listed in the QS guide to self-tracking tools.)
- 5. Why do a survey? We estimate around 500 unique tools. (Matches the 505 tools listed in the QS guide to self-tracking tools.) What mobile device do you use? iPhone / iOS 52% Android 50% Windows 5.7% Other 4.7%
- 6. Why do a survey? We estimate around 500 unique tools. (Matches the 505 tools listed in the QS guide to self-tracking tools.) having all the relevant data at my fingertips and being able to use it safely After my death definitely. What mobile device do you use? iPhone / iOS 52% Android 50% Windows 5.7% Other 4.7%
- 7. Aim 1. What data people are collecting and analysing? 2. Where are the gaps in the current tools and skills? 3. What above all are people looking for and ultimately trying to do?
- 8. ❏ Allergies ❏ Weight ❏ Running ❏ etc In five categories select the things you track: For each metric you track we ask 3 more detailed questions: And finish with two pages of general questions 1. 2. 3.
- 10. Who are you? All complete responses: 105
- 11. Who are you? All complete responses: 105
- 12. Who are you? All complete responses: 105 Software Development (e.g. coding) 30% Data Analysis 46% Visualisation & Design 35% Making (e.g. building sensors) 6.7% Skills
- 13. Here are the top ten!
- 14. Here are the top ten!
- 15. Notable mentions #11 Mood / Happiness 29% #18 Alcohol 21%
- 16. Notable mentions #11 Mood / Happiness 29% #18 Alcohol 21% #36 Sex 8% #59 Perspiration 2%
- 17. Overall top tools Spreadsheet 41% Pen & Paper 28% Fitbit 20% MyFitnessPal 16% Moves 14% RunKeeper 13% Withings Scales 13%
- 18. Overall top tools An analog stronghold. The first wearable gadget! Spreadsheet 41% Pen & Paper 28% Fitbit 20% MyFitnessPal 16% Moves 14% RunKeeper 13% Withings Scales 13% A total of 1452 tools were mentioned, that’s almost 14 per person.
- 19. 90% consider sharing Matches a study by Makovsky Health
- 20. Privacy vs data sharing As promised we will publish aggregate stats.
- 21. Privacy vs data sharing As promised we will publish aggregate stats. Raw data is more difficult because of “high- dimensionality” and text fields. I use a self made tool to draw art while asleep.R > sdcMicro
- 22. “Integrating everything easily, without giving up control to any one company.”
- 23. “I want to run peer-based workshops.” “Perhaps invite a data-mining statistician to talk, be available (at a charge)”
- 24. “The greatest challenge with data collection is around ease of use, automation, etc. Whenever I have had to manually record my own data then I have usually given up.”
- 26. Appendix Such data. Much slides.
- 27. Plan to collect in the future Blood Glucose 24% Brainwaves (EEG etc.) 19% VO2max (maximal oxygen consumption) 19%
- 28. Currently Collecting Previously Collected Plan to Collect in Future Total Collected Weight 47% 17% 7% 64% Sleep 31% 19% 17% 50% Steps / Walking 35% 12% 3% 48% Activity Log / Timekeeping 28% 12% 4% 40% Heart-Rate 22% 17% 16% 39% Running 28% 8% 4% 35% Spending & Purchases 23% 11% 10% 34% Body Fat 30% 3% 17% 32% Eating / Diet / Supplements (e.g. vitamins & minerals) 18% 13% 15% 31% Exercise (not including Running, Walking or Cycling) 19% 12% 8% 31%
- 29. What are you measuring? Physical (e.g. Blood Pressure, Weight, Sleep) 84% Emotional & Mental (e.g. Mood tracking, Happiness, Psychometrics) 46% Activity & Consumption (e.g. Exercise, Time, Diet, Travel, Email) 83% Money / Personal Finance (e.g. Income, Spending) 50% Social (e.g. Meetings, Facebook Use) 21%