Report · AI & Tech

Rewards would most motivate kids to stick with a treatment app

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In a Verasight survey of 1,000 U.S. adults conducted March 6-16, 2026, about half (50%) say that as 10- to 17-year-olds, earning rewards, prizes, or gift cards would have most motivated them to keep using an app supporting a prescribed treatment plan. No other game-style feature comes close; seeing visual progress bars or improvement charts is next at 20%.

Unlocking levels, badges, or achievements and maintaining daily streaks land at 12% each, with competing in challenges or leaderboards and receiving encouraging messages or praise at 9% each. An additional 29% say the scenario does not apply to them.

Topline

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Selected responses

Rewards would most motivate kids to stick with a treatment app.

Thinking back to ages 10-17, if a mobile app had existed to help you stick with a prescribed health treatment plan (such as asthma care), which of the following game-style features would have most motivated you to use it regularly?

  • Earning rewards, prizes, or gift cards 49.7%
  • This does not apply to me 28.7%
  • Seeing visual progress bars or improvement charts 20.1%
  • Unlocking levels, badges, or achievements 12.1%
  • Maintaining streaks for daily completion 12.0%
  • Competing in challenges or leaderboards 8.6%
  • Receiving encouraging messages or praise 8.6%

2026 · base n 1,000 · +/- 3.4%

Verasight Client Omnibus Survey #2026-044

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Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Field dates
2026-03-06 → 2026-03-16
Base (unweighted)
1,000
Margin of error
+/- 3.4%
Module
Module 1: Technology, Finance, & Media

Source

Citation

Verasight Client Omnibus Survey #2026-044, fielded March 6-16, 2026, N=1,000 US adults age 18+, +/- 3.4%.

https://reports.verasight.io/r/omnibus-2026-044#q-1-22

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. When a wave report is published, its field dates, sample sizes, and module breakdown are listed in that report.

Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting.
Population
US adults age 18+.
Sample design
Surveys are run as omnibus or single-topic waves. Omnibus waves are split into modules with their own respondent set, typically around one thousand respondents per module.
Field window
Each wave specifies its own field dates. Most omnibus waves field across roughly two weeks.
Weighting
Per-module weighting to CPS targets including age, race and ethnicity, sex, income, education, region, and metropolitan status.
Partisanship benchmark
Pew Research Center's NPORS benchmarking surveys, three-year running average.
Vote benchmark
2024 presidential vote population benchmarks.
Margin of error
Typically about plus or minus 3.4 to 3.6 percent per module at standard module sizes. Question-level MoE is recomputed when a base shrinks materially below the module baseline.
Reporting
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Transparency
Verasight is a member of the American Association for Public Opinion Research Transparency Initiative.

The canonical report hub is reports.verasight.io; older reports may remain on verified legacy hosts.