Mastering AI as a Data Quality Tool
Steve Male joins Priscilla McKinney to discuss how AI is reshaping market research, why respondent fraud is evolving, and what research teams must do to protect data quality.
Fraud Detection in Online Research: What Enterprise Teams Should Demand
Modern data quality tools use layered fraud detection to help enterprise research teams identify fraudulent respondents before they compromise survey results.
The Same Regulars
Respondent overlap is quietly eroding the exclusivity of market research, making it essential to know who has already participated in similar studies.
The One Question Every Research Vendor Hopes You Won’t Ask
As AI accelerates research, respondent quality has become the defining factor between insights that drive confident decisions and reports that only appear trustworthy.
The Jump Before the Jump
Research quality is built long before the final presentation, making the invisible work behind every study the foundation for confident business decisions.
FIFA World Cup 2026 Canada Survey: Nearly Half of Canadians Plan to Watch the Tournament
A new survey finds nearly half of Canadians plan to watch or attend FIFA World Cup 2026 matches, with strong support for Team Canada and Toronto leading as the preferred host city.
What Rigorous Academic Research Reveals About Fieldwork Decisions
Academic research fieldwork highlights how sampling strategy, mixed-mode design, and proactive quality controls help produce data that can withstand scrutiny and support confident decision-making.
AI in Market Research: Where It Helps, Where It Fails, and What to Watch
AI can improve market research workflows, but its value depends on where it operates, because quality issues caught after fielding are often too late to fix.
Good Tech Can Catch More. It Still Can’t Fix Bad Sample Strategy
Strong fraud detection can improve market research data quality, but technology alone cannot overcome weak sample strategy, recruitment bias, or poor audience composition.
Data Quality Symptoms Are Easy to Spot. Root Causes Are Harder to Catch
Poor open ends, speeding, and duplicate responses are often symptoms of deeper issues, making a layered approach essential for improving market research data quality.