Inside Slack: Was Nachrichten in Slack über die Dynamik in Teams aussagen

  culture
by Darja Gutnick April 19, 2018

Machine Learning und Sprachanalyse machen es möglich: Bunch analysiert Teamerfolg mit Hilfe einer neuen AI-Funktion in ihrer Team-Design-Plattform Berlin, 19. April 2018 – Durch die Analyse geschriebener Sprachnachrichten im Messenger Slack, sogenanntem Natural Language Processing (NLP), ist Bunch in der Lage, die Kultur von Unternehmen und Teams zu bestimmen. Das neue Feature ist seit Februar

A clear path to advancement for Engineers at Bunch

  about bunch
by Charles Ahmadzadeh March 5, 2018

Introducing Bunch’s Engineering Team advancement levels As we approach a new phase of growth at Bunch, we thought it’d be timely to take a step back and reflect a little bit. After all, when you’ve set out to change the way the world works, it’s important to be thoughtful about it. It’s common knowledge that

I am whatever I say I am

  culture
by Darja Gutnick January 29, 2018

Introducing culture analytics for Slack data, powered by machine learning Over the past weeks, the Bunch team has worked incredibly hard: it was no surprise to find Charles and the team still coding away at 2am on a Thursday. We’ve finally reached an important milestone, and it’s nothing short of ground-breaking. Similar to Michal Kosinski

Why we love culture hacking

  culture
by Darja Gutnick January 24, 2018

“Every company has a culture. The only question is whether or not you decide what it is.” Daniel Ospina, Conductal.org Today, we’re releasing our first hand-picked and curated collection of culture hacks and we’re thrilled about it.  Why? The most common question we hear when working with our customers is: “Do you really think you

Study: Startups that don’t set firm goals actually do better

  culture
by Darja Gutnick December 28, 2017

This article was originally published on venturebeat.com on September 23rd, 2017 New data, from a study done by my team at Bunch, could redefine what we see as the trademark characteristics of early startup success. Our study collected data from 62 early-stage startups over the course of a year to find the factors that correlate

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