That's how the CDD sausage is made - thanks for reading! DM to try out Inex One. It's a true game-changer, users tell us: https://t.co/Rzx8JaaGMG 🧵8/8.

With Inex One, EN associates see project status live, across all projects. They plan their day optimally and adjust focus between projects in real-time. The result? Clients get optimal service, and EN associates make more money per hour worked. All parties win. 7/8.

EN associates serve 6-10 projects in parallel, i.e. on average 1 hour per project and day. But projects are different. Some you get day 1, and you’re the only network. Others you get late to pick up the scraps. You don’t know which one is which. It’s a lemon problem. 6/8

74% gross profit after paying experts is pretty good. Then they spend 57% of revenue on ops, support, SG&A. That includes various - but in what is really a high-velocity recruitment firm, the by far largest team is recruiters. And they're operating in a black box: 5/8

Now, if consultants think expert interviews are a pain to arrange - you should see the other guy. Expert networks suffer from inefficient admin work, too. Let’s quantify this by looking at GLG's P&L statement from its 2021 IPO attempt: 4/8

Most people are slightly less brutal, but still use 3 expert networks per project. That’s the pain-to-gain tradeoff. Limit yourself to just one network, and you only see a subset of all relevant experts. Conversely, for each network you engage, the admin grows. 3/8

When I was at McKinsey, I routinely used 4-5 expert networks. I would blast out the same email to them all and get hundreds in return. It wasn’t pretty, but it’s part of how the CDD sausage is made. 2/8

🧵Expert networks have immense OpEx, caused by inherent inefficiencies in their service model. This "black box" problem cannot be solved by the networks themselves, but by introducing a dedicated expert network aggregator like Inex One. 1/8

In recent months, Jinfo has focused on expert networks and their growing role in research and decision making. Here we summarise some of our findings. Click here to read: https://t.co/HlJmKqYs8d

Our flywheel: 1. For every new client user joining, the expert networks have more incentives to go the extra mile. 2. This translates to better customer experiences, making clients come back for more insights. 3. All fuelled by the best tech in the expert network industry.

The expert network industry suffers from a coordination problem. We solve for coordination, transaction costs plummet, and everyone is better off. It's come a long way. But we're not done yet. The beauty of the marketplace model is the flywheel:

So we built the "Spotify for CDD insights": all expert networks in one platform. Seven years later, Inex One has grown to serve over 8,000 users in PE and consulting globally. Our job as a marketplace? Zapping transaction costs. Once you realize, it feels evident.

I spent 3.5 years in the CDD trenches, at McKinsey and Oliver Wyman. We did hundreds of expert interviews. No consultant wants to "manage the expert network stream." It means drowning in calls and emails. A messy spreadsheet tracking all experts and costs from all networks.

This guy just won the Ig Noble prize of sales emails. First it makes you laugh, then it makes you think.

The file is called "Comma Separated Values", yet Text-to-columns assumes Tab delimiter by default. Did anyone ever delimit a dataset with tabs? 🤔 @msexcel

I'm a big fan of Linear @karrisaarinen and encouraged by your speed of adding new features. But chill a bit with the layout changes - what used to save us time is now a snakepit of unfamiliar views. It's probably part user error, part engineer bonanza confusing the UX.

Since 2018, we've built Inex One to simplify the market research industry for strategy and investment research professionals. Hope you enjoyed this summary, or see the full post here:

Survey firms have specialized in different methods, and each has a database reflecting the survey projects they’ve done historically. Therefore, the best survey firm can differ between projects. With Inex One, you engage and compare all top vendors - and run surveys optimally.

5. Reusing your panel On top of recruiting new respondents, any B2B survey firm worth its salt has a database. This is where they store past respondents. These profiles get enriched over time, with each new survey. This knowledge graph creates returns to scale over time.

4. B2B and Healthcare panels Recruiting people for surveys is costly - what if you could get participants to sign up themselves? Turns out, it's possible! B2B panel firms do this by e.g.: - Industry-specific social networks (WebMD, Sermo) - Partnerships with airlines for miles