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Channel

Nielsen Norman

@nielsennorman

On this record: Growth · Engagement · Posts · Cite this entry

57subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001301265210
TypeChannel
Username@nielsennorman
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live24 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 24 August 2026
On Telegramt.me/nielsennorman

Growth

5759587 August 2026 — 59 subscribers10 August 2026 — 59 subscribers24 August 2026 — 57 subscribers7 August 202624 August 2026
3 measurements spanning 17 days, net -2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 57–59 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 11:1557-2
10 Aug 2026, 05:4659no change
7 Aug 2026, 11:1659first reading

Engagement

20 posts held, back to 12 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.7%
avg views ÷ 57 subscribers
Avg views / post
6.7
6 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
6
of 20 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (12 June 20267 August 2026)
Views total40
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 05:46 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Recent posts

7 Aug 2026, 18:49 UTC6 viewsread 10 August 2026

How to Decide When an AI Tool Is Worth Keeping Summary: Pressure to adopt AI isn't evidence that a tool helps. The PROVE framework tests one tool against one task and produces a provisional decision you can defend. ---------------------- Tech workers face constant pressure to adopt AI tools, with little guidance on how to tell whether a specific tool improves a specific type of work. This article introduces PROVE

7 Aug 2026, 18:49 UTC5 viewsread 10 August 2026

Dogfooding vs. QA vs. User Research Summary: Dogfooding, or using your own products internally, helps catch bugs, but it can't replace user research: your team knows too much to represent real users. ---------------------- Big Tech CEOs are eager to show that they and their employees use their own products. Mark Zuckerberg is building an AI agent to help him be CEO. Elon Musk posts prolifically on X. It’s a market

4 Aug 2026, 13:46 UTC6 viewsread 10 August 2026

UX Conference October Announced (Oct 26 - Oct 29) Take up to 2 in-depth training courses, teaching user experience best practices for successful design. Training focused on long-lasting skills for UX professionals. October 26 - October 29, 2026. See Full Schedule and Pricing via NN/g latest articles and announcements

3 Aug 2026, 21:46 UTC7 viewsread 10 August 2026

Job Opening: People & Culture Generalist (Remote, US Based) via NN/g latest articles and announcements

31 Jul 2026, 18:38 UTC9 viewsread 10 August 2026

No New Name Has Replaced “UX” Summary: A survey of 604 tech and design professionals found that “UX” remains the default name for our field, while alternative names remain fragmented. ---------------------- Many UX practitioners are questioning how the field should describe itself. Amid UX layoffs, tighter budgets, and ongoing pressure to prove the value of UX work, some have wondered whether the terms “UX” or “us

31 Jul 2026, 18:38 UTC7 viewsread 10 August 2026

Why You Need Mentorship and How to Get It Right Summary: Mentorship is an essential growth tool that offers substantial personal and career benefits, but only if you engage in it properly. ---------------------- Mentorship is one of the most valuable and underused career tools available. There are real benefits to gain from mentorship, but many talk themselves out of it before they even try. Have you ever thought:

24 Jul 2026, 18:46 UTC10 viewsread 10 August 2026

UX-Context Design: Using UX Knowledge to Inform AI-Generated Design Summary: As more interface work is AI-generated, the output of research and design shifts from documents written for humans to curated context that guides AI. ---------------------- Context Is the New UX Deliverable AI models produce output based on context. Context is everything the model can see when it does the work: your request, plus whatev

24 Jul 2026, 18:46 UTC8 viewsread 10 August 2026

A Concrete Definition of “Product Sense” (and How to Build It) Summary: Product sense means predicting which product decisions will succeed based on patterns learned through experimentation — and knowing when those patterns apply. ---------------------- AI can now handle many tasks that once made product builders valuable. As a result, designers and engineers are under growing pressure to decide what to build ,

17 Jul 2026, 22:57 UTC11 viewsread 10 August 2026

Does Your Form Really Need a Dropdown List? Summary: Dropdown lists can be used in narrow, specific scenarios, but misuse can cause more harm than alternatives. ---------------------- Dropdown lists are one of the most familiar controls in forms . Designers use them because they're compact, flexible, and easy to implement. But that convenience comes at a cost: dropdowns hide available options behind a click, a

17 Jul 2026, 22:57 UTC11 viewsread 10 August 2026

Don’t Outsource the Learning: Why Human-Led Research Still Matters in the Age of AI Summary: Even if AI matches researcher-output quality, human-led research will remain essential — the team learning from observing users can't be outsourced. ---------------------- Some people argue that AI can eliminate the need for research. Why speak to real people — who are hard to pin down — when AI can simulate them or inte

15 Jul 2026, 11:22 UTC12 viewsread 10 August 2026

UX Conference October Announced (Oct 5 - Oct 16) Take up to 5 in-depth training courses, teaching user experience best practices for successful design. Training focused on long-lasting skills for UX professionals. October 5- October 16, 2026. See Full Schedule and Pricing via NN/g latest articles and announcements

10 Jul 2026, 22:41 UTC15 viewsread 10 August 2026

Design-System Maturity: A 6-Dimension Framework Summary: Use this maturity model to assess your design system’s health and identify where to focus next. ---------------------- Design-system maturity frameworks often follow a linear progression: you start by building components, move to driving adoption, hit the growing pains of scale, and eventually reach a steady state of governance and evolution. But design sys

Showing the 12 most recent of 20 posts we hold for @nielsennorman. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 24 August 2026 — this entry's latest reading, not the date you are reading this.

“Nielsen Norman” (@nielsennorman), 57 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/nielsennorman.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.