Mind the Product

@MindtheProduct · London · joined 04 Mar 2011

The world’s most engaged product community, providing articles, meetups, training, and events that support the careers of 300,000+ product people globally.

53 377Followers

1 131Following

18 880Posts total

4.7KViews on collected posts

Últimas publicaciones

Mind the Product@MindtheProduct2 Sep

In this community contribution, product designers Oleksandr Panchenko and Pavlo Bilashchuk put Single Usability Metric (SUM) framework to the test: a six-month case study comparing Google Drive and Dropbox. Read the results 👉 https://t.co/cBwEGIpW9v #ProductManagement https://t 862 views · 2 likes · 0 reposts · 0 replies Open on X →

Mind the Product@MindtheProduct31 Aug

We are excited to announce that Emily Andrews, VP of Global Product Management at McDonald's, will be taking the stage at our conference in Chicago, on October 7, with her talk The Product Purity Trap. Get your ticket 👉 https://t.co/iLGa9zu0V3 https://t.co/DnZLyuGz0W 1.3K views · 0 likes · 0 reposts · 0 replies Open on X →

Mind the Product@MindtheProduct28 Aug

In this community contribution, Andrey Lokot shares how he did something most engineers would argue against: he moved the complexity to the front end. He covers the decision in this article 👉 https://t.co/U5SRSyvNuK https://t.co/DHdKOsJ2XF 860 views · 0 likes · 0 reposts · 0 replies Open on X →

Mind the Product@MindtheProduct25 Aug

Ekshita Kumar, VP of Strategy & Growth at ZAGG, introduces the Algorithmic Cost Compression Loop: the invisible force quietly dictating hardware specs, costs, and quality before a single CAD drawing begins. Read now 👉 https://t.co/pnpUGtezUC https://t.co/Z0fWiU1IEO 845 views · 0 likes · 0 reposts · 0 replies Open on X →

Mind the Product@MindtheProduct24 Aug

✨ Chicago speaker spotlight ✨ Build AI Products as Systems of Trust Alexis Zheng, Chief Product and Technology Officer at G2, will make the case that the next bottleneck in AI adoption isn't data or compute, it's trust.` Get your ticket 👉 https://t.co/iLGa9zu0V3 https://t.co/w 891 views · 1 likes · 0 reposts · 0 replies Open on X →

Frente a cuentas del mismo tamaño

5 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a menos gente que cuentas de su tamaño.

Visualizaciones medianas862esta cuenta924mediana de 10K–100K

Alcance, %1.61%esta cuenta3.62%mediana de 10K–100K

Interacción, %0.00%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	862	924	0.93×
Alcance (visualizaciones ÷ seguidores)	1.61%	3.62%	0.45×
Tasa de interacción	0.00%	1.52%	0.00×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

89124 Aug

84525 Aug

86028 Aug

1.3K31 Aug

8622 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.11%24 Aug

0.00%25 Aug

0.00%28 Aug

0.00%31 Aug

0.23%2 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes60.0%3 in total

Bookmarks40.0%2 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.