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Methods, methodology & rigor

Speed & continuous research

31 indexed claims · 15 guests · peaked 2025-Q4

Speed & continuous research

Overview

These podcast episodes surface a profession navigating a defining tension: the organizational demand for faster insights and the methodological commitment to getting them right. Guests map the conflict along familiar fault lines — the iron triangle of fast, cheap, and good; the gap between business patience and academic rigor; the question of whether agility is a discipline or a rationalization for cutting corners. But the more distinctive editorial center of gravity is a reframe: several guests argue that the one-off project model — each study filed and forgotten — is the deeper structural flaw, and that real speed comes from continuous systems and delivery cadence, not from compressing individual studies. The arrival of real-time intelligence infrastructure — always-on synthetics, agentic AI, compressed feedback loops — adds urgency to both sides of the debate.

From the corpus

  • Rolling out agentic AI marketing workflows at scale without a validated, real-time representation of the customer is genuinely dangerous — the same automation power that enables personalization can ship the wrong message to the wrong segment at enormous scale before anyone notices. — Kate O'Keeffe, Ep. 55 · cl-kate-okeeffe-016
  • Over the next 5–10 years, technology will continue accelerating the consumer-feedback loop — from mail surveys 25 years ago to in-app five-question surveys today, the next leg compresses the loop further so brands can fix pain points and delight customers in near-real-time. — Raina Rusnak, Ep. 21 · cl-raina-023
  • Marketing and product teams deserve the same real-time, statistically grounded system of record that finance and engineering already have; the current data inequality is not just inefficient but actively unfair to those building brands. — Kate O'Keeffe, Ep. 55 · cl-kate-okeeffe-004
  • Teams and organizations should stop chasing speed as a default operating mode without providing the training, onboarding, and continuous development support that makes fast work possible without burning people out or degrading quality. — Nancee Halpin, Ep. 41 · cl-nancee-halpin-023
  • The people who build brands and serve customers deserve better intelligence infrastructure than the industry has historically provided — this is not just a product gap but an equity claim about whose work gets first-class tools. — Kate O'Keeffe, Ep. 55 · cl-kate-okeeffe-021
  • Speed and rigor can coexist as long as the researcher is explicit about the trade-offs and transparent about what the data can and cannot say — the insight is directional, not perfect, and that framing is itself a form of rigor. — Leyla Doany, Ep. 11 · cl-leyla-doany-010
  • Research historically moves too slowly — a four-month turnaround on a major study means the business has moved on by the time findings land — and this speed gap is one of the central unresolved tensions in the profession. — Leena Doshi, Ep. 29 · cl-leena-doshi-019
  • Agile research is the right tool for low-risk, simple questions; matching method to risk profile matters more than choosing speed or rigor as a default — using either where it doesn't fit increases risk, not decreases it. — Tina Tonielli, Ep. 2 · cl-tina-tonielli-017

Contributing guests

Episodes in Speed & continuous research

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