The Secrets behind Research that Scales / Kate Towsey / Ep. #216
DEC 5, 202461 MIN
The Secrets behind Research that Scales / Kate Towsey / Ep. #216
DEC 5, 202461 MIN
Description
<p>There is no service design...</p>
<p>Without high-quality research.</p>
<p>Sure, we all know that.</p>
<p>But doing good research is hard.</p>
<p>Kate Towsey, often called the inventor of the ResearchOps field, can certainly attest to this.</p>
<p>If you're a dedicated listener of the show, you might remember Kate from our conversation about a year ago where she shared that she was writing a book. </p>
<p>Well, that book, titled "Research that Scales", has officially been published! </p>
<p>And with a 4.9/5 rating on Amazon, it seems to have struck a chord with readers.</p>
<p>Of course, we had to get Kate back on the show to discuss it. </p>
<p>In this conversation we delve into topics like:</p>
<ul>
<li>Do we need to scale research, and if so why?</li>
<li>What does "scale" actually mean in the context of research?</li>
<li>When should you start thinking about scaling?</li>
<li>What are the key steps to scaling research?</li>
<li>What role can AI play in all of this? Will it take over our jobs?</li>
<li>Why did it take Kate 3.5 years to publish the book?</li>
</ul>
<p>And as always, that's just the tip of the iceberg.</p>
<p>It's hard to imagine a service design professional who wouldn't be interested in the topics we cover in this episode. </p>
<p>Good research isn't just a nice-to-have; it's a must.</p>
<p>Without giving away too many spoilers, I found it fascinating that it's not actually research that you need to (or can) scale, but something else. Something that we as a community are pretty good at. </p>
<p>Can you guess what it is?</p>
<p>Enjoy and keep making a positive impact!</p>
<p>~ Marc</p>
<p>--- [ 1. GUIDE ] --- </p>
<p>00:00 Welcome to Episode 216</p>
<p>03:00 Quick overview about scaling research</p>
<p>04:00 Why she wrote the book </p>
<p>09:30 Pandemic's impact on the book</p>
<p>13:00 Research rabbit hole</p>
<p>15:00 Unscalable Research: What to Avoid</p>
<p>18:30 What is enough research?</p>
<p>22:00 The problem she saw</p>
<p>25:00 The main bottlenecks</p>
<p>27:45 Libriarian's role in making the change </p>
<p>31:00 How the process work</p>
<p>33:00 Knowledge as a network vs tree</p>
<p>35:30 Maximizing efficient use of library</p>
<p>39:00 Designing the system</p>
<p>41:00 Knowledge vs. Learning: Value Proposition</p>
<p>43:00 Cost center vs value center</p>
<p>47:00 AI and Research: A Synergistic Future</p>
<p>49:00 Cost of scaling: A Trade-off</p>
<p>51:00 Strategic approach to scaling</p>
<p>53:00 How to know when to scale</p>
<p>54:30 Her readers insights</p>
<p>56:00 Upcoming masterclasses</p>
<p>58:00 Resources</p>
<p>58:30 Food for thought</p>
<p> --- [ 2. LINKS ] --- </p>
<ul>
<li>LinkedIn: <a href="https://www.linkedin.com/in/katetowsey/" target="_blank" rel="ugc noopener noreferrer">https://www.linkedin.com/in/katetowsey/</a></li>
<li>Website: <a href="https://katetowsey.com/" target="_blank" rel="ugc noopener noreferrer">https://katetowsey.com/</a></li>
<li>Substack: <a href="https://katetowsey.substack.com" target="_blank" rel="ugc noopener noreferrer">https://katetowsey.substack.com</a></li>
</ul>
<p> --- [ 3. CIRCLE ] --- </p>
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