Start by defining clear metrics for teen well-being and engagement, then propose a randomized controlled trial where parents are encouraged to register and link to their teen's account. Address power analysis, measurement validity, and potential threats, and outline a quasi-experimental fallback and ethical considerations.
Pro tip: Emphasize that parental registration is a two-sided intervention affecting both parents and teens, so you must consider spillover effects and design the experiment at the family level. Also, proactively discuss how you would measure well-being without disrupting the user experience, perhaps using validated survey instruments and behavioral proxies.
Identify primary and secondary metrics for teen well-being (e.g., self-reported happiness, stress levels) and engagement (e.g., daily active minutes, sessions). Clearly state the causal hypothesis: parental registration improves teen well-being and engagement.
Propose a randomized controlled trial at the family level, randomly assigning families to treatment (encouraged to register) or control. Specify randomization unit, treatment implementation, and duration.
Conduct a power analysis to determine the required sample size, considering expected effect sizes, variance, and intra-family correlation. Discuss how to handle multiple comparisons.
Detail how you will measure well-being (e.g., in-app surveys, passive data) and engagement (log data). Address validity threats such as selection bias, attrition, and novelty effects, and how to mitigate them.
If randomization is infeasible, propose a quasi-experimental design (e.g., difference-in-differences with staggered rollout). Discuss ethical considerations: informed consent, privacy, and potential risks to teens.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.