Jonathan Goodbread

Topics Jonathan shaped

AI & technology

Episodes

• Fixing the neighborhood: what's actually broken in data quality with Karine Pepin — Ep. 77 · Sep 22, 2026

What Jonathan said — indexed claims

• Data quality must be an industry-wide effort requiring transparency from every participant — panel providers, consultancies, and tech firms alike — because research that does not reflect real-world scenarios hurts the industry's credibility, individual reputations, and organizational reputations. — Ep. 77
• AYTM's data quality benchmark report reports the same statistics the GDQ publishes every quarter, computed internally from AYTM's own data, so that buyers can directly compare AYTM's quality metrics to industry-wide benchmarks in full transparency. — Ep. 77
• AYTM's data quality approach is organized as the 4P framework — prevent (good survey instrument design that respects cognitive load), protect (removing fraud before it reaches the survey), purify (cleaning out what gets through), and prove (a per-link data quality report showing who was removed, at what stage, and why). — Ep. 77

Connected across the corpus

• Molly Strawn-Carreño (aytm) — 2 cross-references
• Karine Pepin (The Research Heads) — 1 cross-reference
• Marin Mrsa (Peekator) — 1 cross-reference
• Stephanie Vance (aytm) — 1 cross-reference

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