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Data Quality at Dig Insights

Cameron Gavin avatar
Written by Cameron Gavin
Updated over a week ago

In this article:


Why Data Quality Matters

Without high-quality data, you can't produce high-quality research. At Dig Insights, we maintain the highest standards in data collection and analysis to ensure the integrity and accuracy of findings via the Upsiide platform.


What Makes Upsiide Survey Data Exceptional

1. Mobile-Native, Social-Media–Inspired Design

Upsiide delivers an engaging mobile-native experience—feel-like-social-media rather than a dull survey interface. With intuitive question types (such as emoji-based responses) and video interview options, it’s designed to match how consumers naturally interact.

2. Expert, Accredited Data Partners

We’re a corporate member of ESOMAR and collaborate with ISO-vetted partners like Research Defender and Cint. This ensures respondents are genuine and relevant right from the start.

3. Full Accessibility Compliance

Our platform supports surveys that are fully compliant with WCAG 2.2 Level AA standards—helping you reach a broader, more inclusive audience, including individuals with disabilities.


The 8-Step Framework for High-Quality Respondent Data

We design and monitor the entire survey process across three phases to ensure reliability and integrity:

Phase

Key Focus

Highlights

Pre-Survey

Vetting and verification

Human identity checks, ISO-certified partners

During Survey

Monitoring and control

Real-time behavior tracking, AI screening, red herrings

Post-Survey

Validation and analysis

Bayesian modeling for quality assurance

Pre-Survey

  1. Human Verification (“You’re a human, right?”)

    Vet participants to ensure they are real people—employing behavior tracking and IP validation.

  2. ISO-Certified Screening Partners

    Use external, certified partners (Research Defender, Cint) to keep bots out of your study.

During Survey

  1. Accurate-by-Design Surveys

    Surveys are carefully crafted for clarity and bias reduction, supported by our own robust platform tools.

  2. Real-Time Response Monitoring

    Algorithms track metrics like words-per-minute and IP usage as respondents complete the survey.

  3. Open-Ended Quality Checks (“That’s not a word”)

    We identify gibberish or low-effort responses—removing and replacing respondents who breeze through open-ended questions.

  4. Red Herring Questions

    We include quality control or ‘red herring’ questions to flag unreliable data before it affects outcomes.

  5. AI Quality Controls for Video

    For video responses, we deploy AI to screen for key indicators—such as age compliance, absence of nudity, and appropriate facial expressions.

Post-Survey

  1. Advanced Analytics (Bayesian Choice Modeling)

    Employ advanced analytical techniques like Bayesian choice modeling to instantly validate and reinforce data quality within the Upsiide dashboard.


Why This Matters for You

  • Trustworthy Results: Every data point is screened for accuracy and integrity.

  • Inclusive Reach: Fully accessible surveys help you gather insights from a wide, diverse audience.

  • Efficiency & Clarity: Thoughtful design and real-time monitoring enhance respondent engagement and data accuracy.

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