How DLYTE Manages Participant Quality
Last Update 11 hours ago
DLYTE is designed for quality of signal, not volume of responses. The platform is not built to move participants through as many studies as possible. It is built to maintain the integrity of participation over time.
All participants on DLYTE are expected to meet a clear standard. This means completing profiles accurately, following study instructions, providing genuine and thoughtful responses, completing tasks in full, attending scheduled sessions reliably and participating respectfully.
Falling short of this standard has consequences. Low-quality behaviour, such as rushing through tasks, providing meaningless answers or failing to attend booked sessions, can result in reduced access to future studies or removal from the platform entirely.
DLYTE uses internal quality signals to monitor participation behaviour over time. These signals are not visible to participants as a public score. They are used internally to prioritise stronger participants in matching and to reduce the likelihood of low-effort feedback reaching your study.
This means the participant pool improves over time. Participants who consistently provide useful, reliable and complete responses receive higher match priority. Those who do not are progressively filtered out.
All participants on DLYTE are expected to meet a clear standard. This means completing profiles accurately, following study instructions, providing genuine and thoughtful responses, completing tasks in full, attending scheduled sessions reliably and participating respectfully.
Falling short of this standard has consequences. Low-quality behaviour, such as rushing through tasks, providing meaningless answers or failing to attend booked sessions, can result in reduced access to future studies or removal from the platform entirely.
DLYTE uses internal quality signals to monitor participation behaviour over time. These signals are not visible to participants as a public score. They are used internally to prioritise stronger participants in matching and to reduce the likelihood of low-effort feedback reaching your study.
This means the participant pool improves over time. Participants who consistently provide useful, reliable and complete responses receive higher match priority. Those who do not are progressively filtered out.