Research quality starts with real people.

Quality is not a final check. It is built into every stage.

1. 01Responsible recruitmentWe attract relevant respondents through transparent recruitment and audience-specific eligibility requirements.

   Recruitment channels are chosen for the audience a panel serves, and every new member joins through an individual account with clear terms. People are invited because they fit, not to fill numbers.

2. 02Respondent verificationAccount, identity, eligibility and technical checks help us judge whether participation is genuine.
3. 03Accurate profilingRelevant demographic, professional and healthcare information improves how studies are targeted.
4. 04Continuous monitoringParticipation, consistency, attention and history are evaluated, not only a single survey.
5. 05Data integrityCompleted responses are reviewed against the project's quality requirements before they are accepted.

Three research communities. Specialised audience expertise.

Each panel is run for the audience it serves, with its own recruitment, profiling and quality steps, and all three follow the same quality framework.

From recruitment to research-ready respondents.

Twelve stages every member passes through. Scroll and follow the signal as it moves from one checkpoint to the next.

1. Stage 01

   Audience acquisition

   Potential respondents discover the panel through approved recruitment channels.

2. Stage 02

   Account registration

   Participants create individual accounts and give relevant registration information.

3. Stage 03

   Contact verification

   Email and other applicable checks help validate registration details.

4. Stage 04

   Duplicate screening

   Account and technical indicators are assessed for possible duplicate participation.

5. Stage 05

   Demographic profiling

   Members give relevant personal and household information.

6. Stage 06

   Professional or healthcare profiling

   Extra attributes are collected for the panel and audience the member belongs to.

7. Stage 07

   Eligibility qualification

   Profile information is checked against each study's requirements.

8. Stage 08

   Survey invitation

   Eligible members are matched with suitable research opportunities.

9. Stage 09

   Survey participation

   Respondents complete the questionnaire and its built-in quality checks.

10. Stage 10

    Response validation

    Submissions are evaluated against the applicable quality criteria.

11. Stage 11

    Reward validation

    Eligible rewards are reviewed under the panel's rules before release.

12. Stage 12

    Historical quality assessment

    Participation history and behaviour inform how the member is evaluated next time.

Different people, different checks.

Business professionals, consumers and healthcare audiences are recruited and qualified in their own way.

Connecting research with relevant business decision-makers

B2B studies live or die on whether the person answering really holds the role. Professional members are profiled on their work, not only on who they are, and study screeners confirm the details that matter for each project.

1. 01 Professional audience identification
2. 02 Industry classification
3. 03 Employment and company profiling
4. 04 Job title and responsibilities
5. 05 Seniority and decision-making authority
6. 06 Company size and business characteristics
7. 07 Professional experience
8. 08 Study-specific qualification
9. 09 Professional identity validation
10. 10 Ongoing profile accuracy
11. 11 Survey participation monitoring
12. 12 Response acceptance

• Company size
• Ownership and role
• Industry
• Strategic decision scope

Role categories show how B2B audiences are profiled; availability for a given study is confirmed at feasibility.

Eighteen checkpoints. One objective: reliable participation.

Pick any checkpoint to see where it applies and what it helps catch. The checkpoints are layered, so no single check carries the whole load.

Registration validation

What it does

Checks that sign-up details are complete and plausible.

Risk it helps identify

Fake or careless sign-ups

• Registration validation
• Email verification
• Contact verification
• CAPTCHA & bot detection
• Duplicate-account screening
• Device & browser indicators
• Geographic consistency
• Profile consistency
• Professional eligibility
• Healthcare eligibility
• Study-specific qualification
• Attention checks
• Completion-time evaluation
• Open-ended response review
• Response-pattern analysis
• Historical participation
• Post-survey validation
• Manual review & escalation

Quality is earned through participation history.

Move the sliders to see how an illustrative respondent's score changes. Each factor contributes up to a set number of points, and the total falls into a band.

• 0–59 Additional verification required
• 60–99 Provisionally eligible
• 100–139 Established respondent
• 140–169 Trusted respondent
• 170–200 Strong quality history

A panel-defined indicator of how reliable a respondent's participation has been.

Incentive credits earned for eligible participation under the panel's rules.

Illustrative scoring model. Actual respondent quality scores and thresholds are governed by the applicable panel's verified operational rules. Completing a survey does not add a fixed number of quality points.

Evaluated over time, not from one response alone.

• Validated completeConsumer electronics study
• Attention check passedGrocery shopper survey
• Flag: short interview timeReviewed: accepted, short routing confirmed
• Validated completeBanking customer experience
• Open-end reviewedTravel intentions study

• Validated completions
• Previous quality reviews
• Attention-check outcomes
• Response consistency
• Completion timing
• Open-ended relevance
• Duplicate-participation alerts
• Account standing
• Recent activity

Illustrative respondent history, fictional data.

Every response matters. So does the quality behind it.

Before the survey

• Profile eligibility
• Audience qualification
• Study-specific screening
• Duplicate participation checks
• Relevant technical checks

During the survey

• Attention checks
• Response consistency
• Completion timing
• Open-ended relevance
• Suspicious response patterns

After the survey

• Completion reconciliation
• Data quality review
• Investigation of flagged responses
• Client-specific quality requirements
• Final acceptance decisions

Meets the quality criteria and goes into the delivered data.

A flag was raised; a person looks at the context before deciding.

Does not meet the criteria and is removed from the data.

A flag does not by itself establish fraud. Flagged responses get a contextual or manual review.

Rewarding genuine participation through transparent processes.

Rewards are released for validated participation, and every redemption claim is reviewed before payment, under each panel's published rules.

1. 01 Survey reward eligibility
2. 02 Reward-point allocation
3. 03 Pending validation
4. 04 Validated completion
5. 05 Reward balance
6. 06 Redemption threshold
7. 07 Claim submission
8. 08 Account and transaction review
9. 09 Payment processing
10. 10 Redemption history

• Survey complete: retail study+ 250Validated
• Survey complete: auto study+ 400Pending validation
• Profile update bonus+ 50Validated
• Redemption claim- 500Under review

1. Claim submitted
2. Account check
3. Transaction review
4. Paid

Demonstration wallet. Balances, amounts and payment methods are examples only.

See research from a panelist's perspective.

1. 1Member dashboard
2. 2Profile completion
3. 3Available surveys
4. 4Survey history
5. 5Rewards
6. 6Redemption options

Schematic illustration of the member dashboard, not a screenshot.

Transparent reporting for better decisions.

Every project closes with a reconciled field report, so the delivered count can be traced back through each stage.

• Screen-outs 38%
• Quota full 6%
• Completes 50%
• Drop-offs 6%

• Recruitment source
• Target audience
• Invitations
• Survey starts
• Screen-outs
• Quota-full outcomes
• Completed surveys
• Quality flags
• Excluded submissions
• Accepted completions
• Final deliverable counts

Illustrative client reporting dashboard, not live project data.

Respecting respondent privacy. Protecting research information.

1. Respondent
2. Panel platform
3. Controlled processing
4. Research delivery

• Privacy notices

  Members are told what is collected and why.

• Consent

  Participation is voluntary and consent is recorded.

• Purpose limitation

  Information is used for research, not for selling to members.

• Data minimisation

  We ask only what a study or profile needs.

• Account security

  Members' accounts are protected and monitored.

• Access controls

  Only people who need data for a project can see it.

• Data retention

  Data is kept for a defined period, then removed.

• Respondent rights

  Members can view, update or delete their details.

• Confidentiality

  Answers are reported in aggregate, not by name.

• Sensitive health information

  Health data gets extra care and tighter access.

• Security governance

  Policies follow our ISO/IEC 27001:2013 information security management system.

Improving quality through continuous evaluation.

A governance cycle that keeps turning: what we learn on one project changes how the next one is run.

Monitor recruitment

Watch how each recruitment source performs.

Frequently asked questions about quality and recruitment.

How does Frequent Research recruit respondents?

Through our own panels, Turn2Opinion, MyFrequentRewards and MyHealthOpinions, using approved recruitment channels suited to each audience. Every member joins through an individual account, verifies contact details and completes a profile before being invited to studies.

What is the difference between Turn2Opinion and MyFrequentRewards?

How are B2B respondents qualified?

How are consumer respondents profiled?

How are healthcare professionals verified?

How are patients recruited?

How are caregivers screened?

What helps prevent duplicate participation?

How are suspicious registrations identified?

How does survey eligibility screening work?

What is respondent quality scoring?

How does the 0–200 quality-score framework work?

Are quality points the same as reward points?

How does survey history influence evaluation?

How are attention checks used?

How are speeding and straight-lining assessed?

How are open-ended answers reviewed?

What happens when a response is flagged?

How are reward claims validated?

How is sensitive healthcare information protected?

What quality reporting can clients receive?

Can clients request study-specific quality controls?

How are rejected responses handled?

How are respondents requalified?

How can clients request more quality documentation?

Confidence in research begins with confidence in your sample.

Get the whole market research quality process as a branded PDF: the pillars, the 12-stage journey, all 18 checkpoints, the illustrative scoring model, validation, rewards, reporting, privacy and the FAQ.