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Screening Questions

Build screening rules to qualify participants for your study

Overview

Screening questions filter participants before they start your main survey. Use them to ensure only qualified respondents complete your study.

Screening Rules Builder

The screening rules builder provides a visual interface for creating qualification logic.

Accessing the Builder

  1. Navigate to the Recruit tab

  2. Scroll to Screening Questions

  3. Click Add Screening Question

Builder Interface

The builder shows:

  • Question list with current rules

  • Rule configuration panel

  • Preview of disqualification logic

Creating Screening Questions

Step 1: Add a Screening Section

Screening questions appear in a dedicated section at the start of your survey:

  1. Click Add Screening Section

  2. The section appears before your main survey sections

  3. Questions here are evaluated for qualification

Step 2: Add Screening Questions

Add questions to your screening section:

  1. Click Add Screening Question

  2. Choose question type (usually multiple choice)

  3. Write the question text

  4. Add response options

Step 3: Configure Qualification Logic

For each screening question, define who qualifies:

  1. Click the question to edit

  2. Go to Screening Rules

  3. Select which answers qualify participants

  4. Unselected answers lead to disqualification

Screening Multi-Select

Use multi-select for questions with multiple qualifying answers:

Example

Question: "Which of these products have you purchased in the last 6 months?"

  • Product A (qualifies)

  • Product B (qualifies)

  • Product C (qualifies)

  • None of the above (disqualifies)

Participants selecting at least one product qualify.

Qualification Logic

Simple Qualification

Single condition:

IF answer = "Yes" β†’ Qualify
IF answer = "No" β†’ Disqualify

Multiple Conditions

Combine conditions:

IF age >= 25 AND purchased_product = "Yes" β†’ Qualify
Otherwise β†’ Disqualify

Disqualification Points

You can disqualify at multiple points:

  • After individual questions

  • After a group of questions

  • At the end of screening

Screening Anomaly Detection

The system automatically detects potential issues:

Common Anomalies

Anomaly

Warning

Resolution

All options disqualify

"No qualifying paths"

Add at least one qualifying option

No screening logic

"Question has no rules"

Configure qualification rules

Conflicting rules

"Rules contradict each other"

Review and simplify logic

Empty screening

"Screening section is empty"

Add questions or remove section

Viewing Anomalies

Warning icons appear next to problematic questions. Click to see:

  • Specific issue description

  • Suggested resolution

  • Impact on qualification rate

Best Practices

Question Design

Guideline

Reason

Keep questions simple

Reduce confusion and errors

Use mutually exclusive options

Clear qualification paths

Avoid leading questions

Reduce false qualification

Limit screening length

Respect participant time

Recommended Screening Length

Study Type

Max Screening Questions

Quick survey

2-3 questions

Standard study

4-6 questions

Complex qualification

8-10 questions

Ordering Strategy

  1. Broadest disqualifiers first: Age, basic eligibility

  2. Category qualifiers second: Product usage, behaviors

  3. Specific qualifiers last: Detailed criteria

This minimizes time wasted by unqualified participants.

Screening Question Types

Yes/No Questions

Simple binary qualification:

"Have you purchased any skincare products in the last 3 months?"

Category Selection

Product or behavior categories:

"Which of these brands have you used? Select all that apply."

Numeric Qualification

Numeric thresholds:

"How many times do you typically shop online per month?" (Qualify if >= 2)

Recency Questions

Time-based qualification:

"When did you last visit a car dealership?"

  • Within the last month (qualify)

  • 1-3 months ago (qualify)

  • More than 3 months ago (disqualify)

πŸ’‘ Tip: Include a "None of the above" or "Not applicable" option to cleanly disqualify participants who don't fit your criteria.

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