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Quality

Delineate ProximityTM Platform:
Real-time protection for real-time data

The Delineate ProximityTM platform protocol is our bespoke framework to proactively ensure the best respondent data for you.

Data quality isn't a post-field problem, it's an always on solution. Most quality issues in research projects are invisible until they compound across periods. The Delineate ProximityTM Protocol intercepts issues in real time, so what reaches you is clean, representative, and defensible.
The Four Pillars

Built on four non-negotiable standards

Every respondent that contributes to your data must satisfy all four criteria. There are no partial passes.

Fair

Unbiased by design

Respondents are recruited without leading incentives that attract professional survey-takers. Our proven approach to sourcing, prioritizes fresh, real and verified respondents.

Representative

Quota-enforced in real time

Demographic quotas, not soft targets, are applied at recruitment and enforced throughout fieldwork. Your sample reflects the population you need, not the easiest audience to reach.

True

Real people, verified

Each respondent passes multi-layer identity and behavior verification. Anything that fails never makes the cut, not cleaned up afterward.

Effective

Engaged, not exhausted

Our surveys are mobile-friendly and designed to be engaging, keeping respondents focused rather than fatigued. Attention and engagement are assessed throughout, and low-effort responses are intercepted and removed in real time, ensuring the data you receive reflects genuine consumer thinking.

How It Works

Screening happens in real time, not in post survey clean-up

Traditional quality control happens after fieldwork closes. The Delineate ProximityTM Protocol runs throughout data collection, so problems are stopped before they compound.

Legacy quality control processes treat respondent data like a batch job - collect everything, then clean it afterward. The problem with that model is that by the time you discover an issue, it has already influenced period-on-period comparisons, trend lines, and the decisions made from them.
The Delineate ProximityTM platform is different because it is integrated into data collection. Every respondent is assessed against all four pillars: Fair, Representative, True, Effective, as respondents move through the survey. Failing responses are excluded before they reach your dataset.
The result is data you can use immediately, not data that needs to be interrogated before you trust it.

Recruit against hard quotas

Recruitment matched to the required respondent specification. Once a required population is achieved, that group is closed. Only recruiting what is required, not any respondent.

Identity and duplication check

Multi-layer verification confirms each respondent is unique and real. Known panel crossovers and synthetic profiles are flagged and removed in real-time.

Behavior and attention monitoring

Response patterns are assessed in real time for straight-lining, implausible timing, and inconsistency signals that indicate low engagement, and removed in real-time.

Pass or exclude - no exceptions

Respondents that fail any pillar are excluded entirely. There is no partial credit. Your dataset contains only respondents who passed all four.

Overnight refresh to your dashboard

Clean, screened data is delivered daily, ready for analysis when you need it.

What Gets Screened Out

The threats The Delineate ProximityTM Platform removes

These are the six most common sources of data contamination in research data. The Delineate ProximityTM Protocol is designed to catch all of them.

Bot and synthetic responses

Automated submissions and AI-generated responses are detected through behavioral fingerprinting and excluded before reaching your data.

Duplicate identities

The same individual completing a survey across multiple devices or via different panel routes is identified and consolidated to a single valid response.

Straight-lining

Respondents who select the same answer for every grid question, a common signal of low engagement, are flagged and removed in real time.

Implausible timing

Surveys completed in a fraction of the time a genuine respondent would take are excluded, regardless of whether the answers appear superficially valid.

Professional survey-takers

Individuals whose response patterns indicate disproportionate survey participation are excluded to prevent motivated respondent bias.

Demographic mismatch

Respondents who cannot be verified against their stated demographic profile, are excluded before data is written.

Methodology Confidence

Data you can defend

For an Insights leader, data quality isn’t just a technical concern. It’s the foundation of every recommendation you make.

When senior management asks why a brand metric moved three points, you need to be able to say with confidence that the movement reflects real consumer behavior, and not a shift in sample composition, a bot influx, or fieldwork inconsistency.

The Delineate ProximityTM platform gives you that confidence. Because the same four-pillar standard is applied consistently, each time a respondent is captured, the data you’re comparing is genuinely comparable. Trends are real. Shifts mean something.

Full methodology documentation, including quota-setting framework, screening logic, and weighting approach is available on request.

A methodology you can defend

The Delineate ProximityTM platform is open and transparent, clients have access to screening logic for inclusion in research governance frameworks, RFP responses, or board-level reporting packs. This is standard, not an upsell.

In Practice

Data quality that holds up

The Coca Cola Company
Global brand tracking

Also trusted by Nomad Foods, Johnsonville and TATA Consumer Products.

The Coca-Cola Company tracks up to 1,000 campaigns annually across 40 always-on markets. Delivering that at scale requires data that is consistent, clean and comparable across every market. The Delineate Proximity™ Platform applies the same screening standard simultaneously across all markets, ensuring data is verified, representative and ready to act on - without additional quality checks on their side. It is this global standardization that makes period-on-period comparison meaningful across markets, and has enabled The Coca-Cola Company to continuously improve campaign effectiveness at a scale not previously possible.
Read the Coca Cola Company case study →

Quality data, recalled with precision

See how Delineate's Recall capability surfaces the right insight at the right moment - from a foundation of clean, verified data.

See the Delineate ProximityTM platform in action

Talk to our team about how Delineate’s quality framework gives your insights the rigor they need – and the defensibility your business demands.

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