In-depth, vendor-neutral white papers on how CatalystMR sources and verifies B2B and healthcare sample, defends data quality against fraud and AI-generated responses, runs CATI, and reasons about real versus synthetic data. Each pairs with a short Insights article. Read free, cite, or download the PDF.
A current, vendor-neutral methodology for choosing between real respondents (global panel + CATI) and AI-generated synthetic data — a field guide to four k…
A vendor-neutral methodology for validating professional credentials when no authoritative registry exists — the audiences a primary-source lookup cannot c…
The data-quality case for telephone (CATI) interviewing in healthcare research — why self-administered online panels struggle to deliver trustworthy data f…
A vendor-neutral methodology for when telephone (CATI) beats self-administered online panel for B2B research — the self-administered ceiling for senior and…
A vendor-neutral methodology for straight-lining — what flat, identical answering across a grid is and is not, why matrices invite it, how variance and pat…
A vendor-neutral methodology for speeder detection — why a single timing threshold is not enough, the four timing layers where speed is measured, the instr…
A vendor-neutral methodology for respondent validation — why undetected fraud biases findings rather than merely adding noise, the five integrity questions…
A vendor-neutral methodology for combining CATI and online panel into one coherent, mode-flagged dataset — four design patterns, a single-master-screener i…
A vendor-neutral methodology for screen-sharing CATI — delivering visual stimuli and choice-based tasks (conjoint, MaxDiff, ad and concept tests, pricing t…
A vendor-neutral decision framework for when computer-assisted telephone interviewing (CATI) should be the primary survey mode — judged on coverage, cooper…
A vendor-neutral methodology for detecting modern survey fraud — synthetic identities, bots, automated scripts, copied and AI-generated open-ends — through…
A practical, vendor-neutral framework for catching fraudulent, inattentive, duplicate, and AI-generated respondents — eleven QC checkpoints across pre-fiel…
A vendor-neutral methodology for recruiting rare-disease patients and caregivers — a multi-source recruitment funnel under one screener, confirmed-diagnosi…
A vendor-neutral methodology for choosing how to field healthcare-professional research — online, telephone (CATI), or mixed-mode — by matching method to a…
A repeatable five-step workflow for modelling B2B incidence and feasibility before field — define, model the range, translate, soft-launch, revise — ground…
A vendor-neutral methodology for verifying B2B decision authority — separating seniority from authority, a four-level authority taxonomy, mapping the decis…
A vendor-neutral methodology for verifying physician and HCP credentials in market-research sample — a four-tier evidence ladder from self-report to primar…
A vendor-neutral methodology for specifying a B2B audience as verifiable variables and sourcing it transparently — the five B2B sample source types, single…
