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Capture the behaviour with no data entry — steps counted in the background, a scale that syncs itself — and show today's value against a line of recent weeks, with a short note on it each week.
−6.55% vs −0.35%Body weight change at six months with daily weighing, a trend graph, weekly tailored emails and lessons, against a delayed-intervention control (91 adults, 2011; WEIGH trial). A research bundle — not a weight-loss claim for an app.
Built from published experiments and company reports across several products. Nobody has checked the screens on a dated day, so read each number with the caveat printed beside it.
Capture the behaviour with no data entry — steps counted in the background, a scale that syncs itself — and show today's value against a line of recent weeks, with a short note on it each week.
Detailed self-tracking is hard to keep up and adherence falls over time, and most activity apps ask people to see themselves as exercise-oriented before they start (Harries et al.; Steinberg et al.).
This play is not tied to a full playbook. Use it for this decision alone.
Daily weighing with a trend graph and weekly feedback produced weight loss.
STRONGWhat it does not show The authors state the study did not isolate the effect of daily weighing from the other components. Small, highly educated sample; people with a history of eating disorders were excluded. The intervention arm had higher baseline weight and BMI.
The efficacy of a daily self-weighing weight loss intervention using smart scales and e-mail DM et al. · 2013
Seeing their own step counts raised men's daily steps.
SUPPORTINGWhat it does not show Allocation assigned every third participant in recruitment order to each group; the trial was not registered. Run-in data were lost to a technical malfunction, so no baseline adjustment was possible. Feedback arms also received weekly encouraging texts, so the display is not isolated. The abstract gives ages 18 to 40 and the methods 22 to 40; participants kept the phones as an incentive. Recorded steps count only walking with the phone carried.
Effectiveness of a smartphone app in increasing physical activity amongst male adults: a randomised controlled trial Harries et al. · 2016
Use the play for this decision alone, or combine it with an existing product strategy after checking for conflicts.
Frequent self-weighing is linked to later disordered eating in some groups, and the trials excluded people at risk.
Passive capture misses what the sensor cannot see, so the trend can understate the behaviour.
Tracking may stop when the feedback does: in WEIGH, weighing fell from 6.1 to 4.0 days a week after the emails ended.
Presenting research-setting weight loss as an effect of an app is a claim the trials do not make.
Plus everything above, as plain text for your coding agent, with a short instruction on top: check the fit, say what the evidence doesn’t support, and adapt it rather than copy it. Paste it and you get an answer, no prompt to write.
Six research trials and experiments: bActive, WEIGH, IDEA, TRIPPA, Etkin and Takano · evidence reviewed 25 September 2026.
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Browse the playbooks ↗A wearable led to less weight loss than logging on a website.
STRONGWhat it does not show The comparator also self-monitored, so this compares device-based with manual self-monitoring, not feedback with none. The device was introduced at month 7 on the upper arm; the authors note this may not reflect later wrist-worn devices.
Effect of Wearable Technology Combined With a Lifestyle Intervention on Long-term Weight Loss: The IDEA Randomized Clinical Trial JM et al. · 2016
A tracker on its own did not significantly raise activity or improve health.
STRONGWhat it does not show Abstract only; how the tracker displayed data or gave feedback was not described.
Effectiveness of activity trackers with and without incentives to increase physical activity (TRIPPA): a randomised controlled trial EA et al. · 2016
Measuring an activity raised how much people did but lowered their enjoyment.
SUPPORTINGWhat it does not show Abstract only; samples, effect sizes and whether a trend display was used were not inspected. Concerns activities people find enjoyable.
The Hidden Cost of Personal Quantification Jordan Etkin
Step tracking without a goal added pressure, not steps.
SUPPORTINGWhat it does not show Pilot sample of 23 or 24 per arm; there was no no-feedback arm. Self-monitoring here was active manual recording, not passive capture alone.
Deconstructing Fitbit to Specify the Effective Features in Promoting Physical Activity Among Inactive Adults: Pilot Randomized Controlled Trial K et al. · 2024