[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$flNOBqC55Y7-MAn20IOxIREb2NeOsErALOwjaoSGa-1o":3},{"post":4,"html":19,"readingTime":11},{"slug":5,"title":6,"excerpt":7,"hero_image_url":8,"hero_image_alt":8,"og_image_url":8,"seo_title":8,"seo_description":8,"canonical_url":8,"author_name":9,"author_role":10,"reading_time":11,"category":12,"tags":13,"published_at":17,"updated_at":18},"speed-is-a-research-feature","Speed is a research feature","Turnaround time is usually treated as a logistics detail. It is actually one of the most important features of research itself.",null,"Maya Lindqvist","Head of Research",3,"Research",[14,15,16],"speed","methodology","operations","2026-06-06T10:57:07.953203+00:00","2026-06-22T10:57:07.953203+00:00","\u003Cp>We tend to talk about research quality in terms of sample size, methodology and rigor. All of that matters. But there's a feature that quietly determines whether research gets used at all: \u003Cstrong>speed.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch2>Slow insight is often no insight\u003C\u002Fh2>\n\u003Cp>A brilliant finding delivered three months late competes with a decision that has already been made. The analysis might be flawless, but its influence is zero. In practice, slow research is frequently \u003Cem>unused\u003C\u002Fem> research.\u003C\u002Fp>\n\u003Ch2>Why traditional research is slow\u003C\u002Fh2>\n\u003Cp>The delay isn't intellectual — it's operational. Manual recruitment, manual fielding, manual analysis and manual reporting stack up into months. None of it makes the insight better; it just makes it later.\u003C\u002Fp>\n\u003Ch2>What automation actually buys you\u003C\u002Fh2>\n\u003Cp>When recruitment is dynamic and the pipeline is automated, results arrive in hours or days. That speed compounds:\u003C\u002Fp>\n\u003Col>\n\u003Cli>\u003Cstrong>More questions get asked\u003C\u002Fstrong>, because asking is cheap and fast.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>More decisions get tested\u003C\u002Fstrong>, because you don't have to ration research.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>More of the organisation engages\u003C\u002Fstrong>, because answers arrive while the question is still alive.\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2>Fast and rigorous are not opposites\u003C\u002Fh2>\n\u003Cp>The old trade-off — fast \u003Cem>or\u003C\u002Fem> good — was a limitation of process, not a law of nature. With a large panel and automation, you can have a larger sample, more data, \u003Cem>and\u003C\u002Fem> a faster turnaround at once.\u003C\u002Fp>\n\u003Cp>Speed isn't a nice-to-have bolted onto research. It's part of what makes research worth doing.\u003C\u002Fp>\n"]