Dmitry Nekrasov — Your dashboards are not the problem. The missing causal layer underneath them is. That’s what I build
Your dashboards are not the problem. The missing causal layer underneath them is. That’s what I build
Dmitry Nekrasov ranks #453 of 18,566 LinkedIn creators in Information Technology & Services, and is a standout voice in United States. They have 43.0K followers and published 19 posts in the last 60 days at a 0.2% average engagement rate.
- 43.0K followers
- 19 posts / 60d
- 0.2% avg engagement
- 145 follower growth / 30d
The roast
Dmitry claims he helps Shopify stores stop guessing, yet he has 42,000 followers and can’t get two hundred of them to care about his posts. He’s running a company called Jetmetrics, which is a fitting name for a business whose engagement is currently waiting on the runway.
About Dmitry
You have dashboards. Plenty of them. What you don't have is a straightanswer when a number turns red on Monday and someone asks why.That gap has a name: the causal layer. The cause-and-effect logic that sitsunder your metrics and tells you which one drives which, who owns it, andwhere to push when it goes red. Dashboards show you what happened. Thatlayer tells you what to do about it.I'm Dmitry. I've spent 8 years on this one problem.My take, and not everyone likes it: AI, dashboards and KPIs are just tools.The causal layer is what makes them add up to a decision.Started a BI agency in 2017, built dashboards for brands like Campari.Honestly, half of them probably never got opened.Built JetMetrics in 2022 to fix it from the tool side. Worked, kinda. Closed it this year to focuson the part tools can't fix: the thinking behind the charts.These days I do 3 things:+ TEACH THE CASUAL LAYERMy last cohort was 23 people from banking,manufacturing, SaaS, even a gold mining company.+ CONSULT ON ITRecently with ECCO, untangling 1500 SKUs down to thehandful that swing the P&L.+ WRITE ABOUT ITMostly maps and cheatsheets, on LinkedIn and Substack.This is for Heads of Analytics, CDOs, the operators who lean on them, andthe senior analysts who want their job. The people who have to explain whya number moved, and figure out what to do next.If your reports answer "what" but never "why," we'd probably get along.Start with the newsletter, pinned in Featured up top: maps and cheatsheetsmost weeks, no filler. And if you want something to use this Monday, I keepa library of metric maps and templates on Gumroad.
Highlights
- Top 1% in Information Technology & Services — Ranked #19 of 1910 creators
- Top 5% Audience — 42,950 followers
- Top 5% in United States — Ranked #182 of 5851 creators
- Top 5% Creator — 19 posts in 30 days
Recent posts
You don’t need these metrics There’s no such thing as a one-size-fits-all set of metrics. It all depends on your industry, your processes, and the specifics of your product and audience. For example, let’s say you sell home improvement and interior design products. Customers typically come in once every few years, and only when they decide to spruce up their home. So what kind of retention could there possibly be? That’s definitely not the metric you need in your case. Instead, you should focus on growing the number of customers through referrals, cross-selling, and upselling. Before you
17 reactions · 8 comments · 0 reposts
Vanity metrics handbook. The treatment 💊 If you found symptoms in the dashboard yesterday, here are instructions today on what to do about them. The good news: the vanity metric isn’t a lifelong diagnosis, but rather the form in which it’s presented. This form can be changed. The most common treatment is normalization. We take a cumulative counter and convert it into a ratio or coefficient. What used to be “Total customers in the database” becomes “Active customers.” Now the metric can decrease, and the team sees real progress rather than just the total since launch. The cheat sheet ab
2 reactions · 0 comments · 0 reposts
The vanity metrics handbook: symptoms How can you quickly tell if you’re looking at a metric that’s frankly useless or even damaging? It looks just like other serious metrics, may appear in reports for a long time, and may not raise any doubts about its necessity. However, in almost every dashboard I’ve seen, they can be quickly identified. The most common case is a metric that physically cannot decrease (for example, "Total Users" or "Total Customers in the Database"). Tomorrow I’ll share a treatment protocol - how to turn a vanity metric into an actionable metric and which 5 types of th
1 reactions · 0 comments · 0 reposts
Last updated 2026-08-01