Mark Levison✓

Mastodon @mlevison@hachyderm.io

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Followers

590

Account age

0 yrs

🧰 Free analysis for Mark Levison

🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

📊 Post engagement

Avg engagement / post

0.5%

Engagement vs followers

May 2026

On Mastodon since

🔥 Top post: 🏥 Use GenAI to speed up ER triage, but if the hospital is at 100 · 6 likes + reposts

📊 Activity & format

Posting cadence

11.9 / week

Toots daily — consistently active for a campaign window.

Content mix

Mostly text

Recent: 12 text · 0 image · 0 video.

Follower / following

0.6×

Follows 920 back. A more reciprocal / networked account.

Recent posts

View on Mastodon ↗

🔥 Top post 🏥 Use GenAI to speed up ER triage, but if the hospital is at 100% bed capacity, faster triage barely helps. The beds are the bottleneck. Humber River Hospital's command centre works because a cross-disciplinary group watches the whole flow. GE brands it "AI", but that pattern-fi… ★ 6

🧭 Drowning in an oversized Product Backlog? A Story Map is a good life raft. When a backlog is hundreds of items in a flat list, nobody can see the product, only the pile. Lay it out as a journey instead: major steps across the top, the st… ★ 1 📋 We constantly remind Scrum and Kanban teams to visualise the work and limit Work In Progress. Then we break our own advice. I certainly did. I let a GenAI assistant hand me a pile of experiments, none of them the most important thing to … ★ 2 🚧 Cross-functional teams are not departments. A department is organized by role: the dev group here, QA down the hall. A cross-functional team is organized around the work, from the moment a feature is considered until it's delivering valu… ★ 2 🧩 Going from 2 people to 4 doesn't double what a team gets done, and Amdahl's Law explains why: some work happens in parallel, but the serial part sets a ceiling no headcount can lift. Speed doesn't come from throwing more people at the jo… ★ 2 🔄 A Causal Loop Diagram helps a group understand cause and effect: which things increase or decrease, and how they push on each other. I reach for it whenever a team is stuck applying quick fix after quick fix to a recurring problem. The m… 🗂️ Product Backlog Refinement has a quiet failure mode: everyone nods that they understand the item, yet each person holds a different picture. It looks like agreement, but the gap surfaces mid-Sprint. When you're stuck on a feature, write… 🏋️ How I explain Technical Debt to non-technical people: imagine your developers in a large gym. Time them running across and back. Now scatter chairs across the middle at random. They're slower. Add more, and eventually they have to crawl… ★ 3 📉 Canada has had a productivity problem: 88% as productive as the US per hour in 1984, 71% by 2022. The new AI strategy promises a 3% GDP boost by lifting business AI adoption from 12% to 60% by 2034. But adoption of AI doesn't make an org… 🤖 Good news for ScrumMasters: you're safe. I went looking for useful Claude skills for ScrumMasters, Product Owners and Agile Coaches. What's out there: run the Daily Scrum as a progress summary (it even had a token budget), plan Sprints f… ★ 1 Who would have expected that it was easier to deal with ServiceOntario than CIBC? Hint to all avoid CIBC like the plague. Nice staff, backed by a system from the Middle Ages. #AgileConfessions Back in the dawn of time (i.e. 2000's), I was coaching some other teams inside Cognos. I saw a team that was struggling with their product backlog. I thought if only I found the correct way to get them to write user stori… ★ 4

🐘 Community & instance

Home server

hachyderm.io

A tech & engineering server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.

✅ Link-verified

Verified link

Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.

On Mastodon since

May 2026

An established account with real history on the platform.

💡 Facts

🗓️Joined Mastodon in 2026.

👁️Averages 3 views per post.

📤Posts about 11.9× per week.

🕵️ Fake follower check

Estimated

57/100

Fair Credibility score

77%

Mixed Real audience

Medium Fake-follower risk

High Data confidence

Est. 77% real, active audience · Medium fake-follower risk.
Engagement (~0.5% of followers engage each post) is around typical for Mastodon.
Verified account.
Very new account (under 3 months) — higher throwaway/bot risk.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Original account: Scrum/Agile trainer. Skeptical of #GenAI hype, pragmatic about where it actually helps teams. Evidence over vendor demos. 8000+ alumni across #Scrum, #Kanban, and #BehaviouralPsychology work. Ottawa. Side interests: #PKM, #Obsidian. On the fediverse since the day Twitter died.

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

Ergative Absolutive 17%

Nina Röckelein 16%

josh's harp 14%

Brindy 13%

Gaëlle Seguillon 11%

Bob D Photography 10%

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Mark Levison✓

Make a deal with Mark Levison

📊 Post engagement

📊 Activity & format

Recent posts

🐘 Community & instance

💡 Facts

🕵️ Fake follower check

About

🔀 Audience overlap

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