Chapter 11 Conclusion Contents

Appendix A Personal tracking needfinding survey

Contents

  1. Needfinding Survey Details
    1. Population
    2. Questions and Survey Flow
    3. Things Tracked
      1. Custom Tracking Use Cases
    4. Motivations
    5. Reasons for Not Tracking
    6. Tools Used
      1. Types of Tools
  2. Needfinding Survey Questions
    1. Tracking Use Cases
    2. Follow-up Questions

A.1Needfinding Survey Details

A.1.1Population

Participants were recruited through a call for participation on social media (Facebook, Reddit, Twitter) and local parent groups. The survey received 85 responses in total, 42 being parents or guardians of at least one child. 22 were female-identifying, 32 were male-identifying, and 2 identified as non-binary. 29 chose to not disclose their gender. Median age was 39 (x̅ = 41.4, σ = 9.3).

A.1.2Questions and Survey Flow

To jog participants’ memory, the survey began by presenting a list of 26 common tracking cases, collected by browsing tracking applications on the Apple and Google App Stores (keywords: “tracking”, “tracker”, “journal”, “logging”) with five freeform fields at the end. For each, participants could select wither they had tracked it manually, automatically, or have wanted to track it (but didn’t) at any point in time. These options were non-exclusive, to account for semi-automatic tracking [1] and different attitides for different time periods. Parents were additionally presented with another 13 parenting-related use cases, with four freeform fields.

Respondents could then provide more details about their selections. There were no further questions for things they selected they track automatically. The full list of questions can be found in Section A.2.

A.1.3Things Tracked

Most participants were experienced trackers, self-tracking a median of 7 things (x̅ = 8.4, σ = 5.3). This did not differ between parents and non-parents, but parents additionally tracked a median of 4 things (x̅ = 4.8, σ = 4.1) about their children. While self-tracking use cases were almost equally split between manual and automatic tracking (median of 4 (x̅ = 5.1, σ = 3.6) vs 3 (x̅ = 3.3, σ = 2.7)) parental tracking was almost exclusively manual with only a median of 0.5 (x̅ = 1.2, σ = 1.9) automatically, indicating perhaps that despite the rise of “baby wearables”[2, 3], parents keeping track of their children’s development is largely still a manual labor of love.

Female-identifying people self-tracked slightly more than male-identifying people: a median of 8.5 things (x̅ = 9.4, σ = 5.1) vs a median of 6 things (x̅ = 7.6, σ = 5.1) respectively. However, when we look at parental tracking, the picture if vastly different: a median of 6 (x̅ = 6.4, σ = 4.6) things tracked by mothers vs a median of only 2.5 (x̅ = 2.9, σ = 2.9) by fathers.

Figure A.1 Self-tracking use cases from the survey, ordered by percentage of respondents that manually tracked them.
Figure A.2 Child tracking use cases from the survey, ordered by percentage of respondents that manually tracked them.

The most popular manually tracked items are shown in Figure A.1 and Figure A.2.

A.1.3.1Custom Tracking Use Cases

Nearly a quarter (24.71%) of respondents tracked or have wanted to track one or more things not in the list of predefined common cases.

This was similar in the parental tracking set of questions, with 23.81% of parents entering item(s) in the freeform text fields.

It could be argued that this figure was high because the researchers missed certain common cases, but there was little overlap across subjects. Two researchers separately normalized differences in wording, then reconciled the result. Even after aggressive normalization, the only items that appeared more than once were “Books read” (3x), “Social Interactions” (3x), Location (2x), and “Personal expenses” (2x) for self-tracking, and “Teeth (when they come in and fall out)” (2x) for parental tracking.

Examples of unique custom use cases for adults were: water consumption, cleaning, climbing progress, daytime sleepiness, scores on Lumosity and BrainHQ, time spent in Internet rabbit holes, being kinder, stretching sessions, progress in studying a foreign language, breast milk production, travel, groceries bought, yelling instances, prayers/mindfulness, teeth flossing, Aimovig injections.

Examples of unique custom use cases for parental tracking were: tummy time, baths, nail trimming, firsts, relationships, interests and wants, books read, prizes in reward system, accomplishments, funny things said.

A.1.4Motivations

Figure A.3

Respondent motivations for tracking or wanting to track, broken down by self-tracking and parental tracking use cases

Respondents’ motivations are summarized in Figure A.3. By far the most common reason for self-tracking was knowing thyself: to find patterns in the data and get insights. While this was common for parental tracking as well, it was surpassed by data preservation for posterity. Comparing the tracking subject to others was also a far more popular reason for parental tracking than self-tracking. These differences are consistent with the literature, which finds that parents track primarily to preserve memories and detect developmental delays.[4, 5].

A.1.5Reasons for Not Tracking

The most common reasons people gave for not tracking things they have wanted to track are shown in Figure 9.2. It is relevant that Lack of suitable tools was by far the most common reason both for self-tracking (36.1%) as well as parental tracking (38.8%). Lack of motivation seemed to be a less common reason in parental tracking, where the primary reasons for not tracking (in addition to lack of tools) were related to the overwhelm that parents feel, consistent with [4].

In 91% of cases, respondents said they would be more likely to record data if it were quick and easy (53.3% much more likely, 37.6% slightly more likely). Parents are even more eager to record data if the capture burden was reduced: Only 2.5% would still not record anything in that case (65% much more likely to record, 32.5% slightly more likely).

A.1.6Tools Used

A.1.6.1Types of Tools

The lack of suitable tools we discussed in the previous session became more apparent when we looked at the tools used.

For self-tracking, only half of tracked things are tracked with a widely available app or website. The rest are mostly tracked via spreadsheets (15.2%), documents (12.6%), or even handwriting (10%)

There’s an even higher scarcity of suitable tools for parental tracking. Only 37.5% of things tracked are tracked with a widely available app or website. The rest are tracked via documents (40%), spreadsheets (17.5%), and handwriting (2.5%).

A.2Needfinding Survey Questions

A.2.1Tracking Use Cases

For the question What do you track (or have tracked in the past) either for yourself or other adults (e.g. a partner, a friend, your parents etc)? the 26 common cases presented to participants were (does not include the 5 freeform fields):

These were presented in a matrix, with columns:

Participants could check 0-3 of these per row. We decided against a N/A column to avoid clutter.

This does have the downside that this survey design cannot distinguish between things that do not apply at all (e.g. pregnancy-related things in a person without a uterus) and things for which the participant never had any desire to track.

There was also a short FAQ at the top (answers were collapsed but participants could expand them):

Participants were also asked “Are Are you a parent or caregiver for any children?” with options:

Those who selected any of the Yes options were also presented with another question, “What have you tracked about the child(ren) in your care, if anything?” with another list of common cases pertaining to parenting (and 4 freeform fields):

There was also a short expandable FAQ about these:

A.2.2Follow-up Questions

For every item participants selected they had wanted to track (but didn’t) they were presented with a series of follow-up questions:

For each thing participants said they tracked manually, they were presented with the following questions:

Before each block of such questions, participants were given a choice to skip to the end of the survey (the demographics questions). 12/85 did this.

The demographics questions were shown at the end, to eliminate stereotype threat:

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