Curious how others here are handling participant qualification. Are you using logic-based screeners or still reviewing manually?

If you’re building anything that involves user research or participant screening, one thing I’ve learned the hard way:

Basic forms are not enough.

We recently started using more advanced screener logic, and it’s honestly a game changer. Here’s what that means in practical terms:

– You can ask follow-up questions dynamically
Example: “Do you use iPhone or Android?” → show different question paths for each.

– Automatically redirect or disqualify participants
If someone doesn’t meet the criteria, they’re filtered out instantly. No manual cleanup later.

– Combine custom criteria with precision
You can stack conditions like:
• Uses Android
• Shops online 3+ times a month
• Lives in Tier 1 city
And only allow exact-match profiles through.

– Eliminate unqualified responses before review
Instead of spending hours cleaning bad data, you only review high-quality, relevant participants.