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Insights function & business

Insights as strategic function

55 indexed claims · 20 guests · peaked 2025-Q3

Insights as strategic function

Overview

The question animating this topic isn't whether insights matter — it's whether the function actually works. Across these conversations, a consistent argument emerges: the profession faces a structural identity crisis, with too many researchers still operating as order-takers who receive briefs rather than shape them, and deliver data rather than decisions. The dominant tension runs between two failure modes — the ivory-tower researcher who prizes methodological purity over business relevance, and the reactive tactician who moves so fast to answer the question that they never ask whether it's the right question at all. Against both, a consensus is forming: strategic relevance is earned through relentless alignment with the decisions that actually matter, the courage to challenge organizational assumptions, and the ability to filter signal from an abundance of noise that has made data itself cheap.

From the corpus

  • The insights and analytics functions become more powerful when integrated rather than separated; analytics professionals' reluctance to engage survey-based data as legitimate (treating it dismissively as \"qualitative\") is a structural blind spot that the next generation of insights organizations should design out. — Charitie Dantis-Gayo, Ep. 42 · cl-charitie-dantis-gayo-022
  • To persuade a charismatic, passionate founder to pivot a brand direction, only irrefutable live-market data is sufficient — a CMO who walks in saying 'I did a live study of hundreds of thousands of people, and here is how they responded' has what a survey or a gut instinct cannot provide. — Kate O'Keeffe, Ep. 55 · cl-kate-okeeffe-017
  • The future identity of insights professionals is as internal strategy consultants who proactively understand business problems, not order-takers who execute a research brief on demand — 'I do internal strategy insights consulting for my company' is how the role should be introduced. — Michael Nevski, Ep. 26 · cl-michael-nevski-016
  • The right insights picture requires a total equation: traditional primary research (quant, qual, social listening), syndicated data, transactional data, and panel data must converge — any single source alone is insufficient, and researchers must be fluent across all of them. — Michael Nevski, Ep. 26 · cl-michael-nevski-014
  • Combining scheduled Perplexity prompts for external market and competitive intelligence with weekly Gong AI summaries for internal voice-of-field intelligence gives insights professionals a pulse that is orders of magnitude broader than what was previously achievable. — Kylee Lessard, Ep. 46 · cl-kylee-lessard-017
  • In 2026 the insights professional's special skill is no longer evidence-gathering — there is no shortage of analysis, journalism, or podcasts — but weaving the abundance through the lens of an organization's own strategic options, culture, and definition of success. — Christopher Khoury, Ep. 47 · cl-christopher-khoury-015
  • Insights programs should structure research delivery around the decision points of different organizational layers: product marketers working backwards from in-quarter micro-decisions, leadership working backwards from biannual planning cycles. — Kylee Lessard, Ep. 46 · cl-kylee-lessard-008
  • The primary goal of a leadership-level insights cadence is shared reality — ensuring that decision-makers at the top of the organization are all operating on the same high-quality data at the moments when consequential decisions must be made. — Kylee Lessard, Ep. 46 · cl-kylee-lessard-009

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