Teams | Collaboration | Customer Service | Project Management

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17 Customer Service Apps That Make Supporting a Breeze

Customer service plays a crucial part in guiding a business to success. You need to have well thought out customer experience goals from the inception of your business, and have a game plan on how to get it right. So, it’s very important that you pick the right customer service application based on your business’s vision and requirements. However, with a slew of applications available for customer service, how do you know which one is perfect for your team?

Submitting great PRs

If you want to submit good pull requests, start with our contribution checklist. Today, that page talks about what to fork, how to style your code, how to write unit tests and where to push your code. Implicit in all of that is the need to write great code, of course! But this blog post isn’t about writing great code, it’s about making your pull request a great experience for you and your reviewers.

How to Motivate Your Team Even Though They Are Working Remotely

Remote work has become a normal practice for millions of businesses in different industries. However, the whole process can be tiresome without the appropriate approach, as the majority of workers tend to lose productivity over time. Even though many would say that they are productive from home, after some time passes, a loss of motivation and productivity inevitably occurs. Luckily, there are steps that can be taken to ensure that your remote team is going to stay motivated.

Welcome Sell apps to the Zendesk marketplace

We’re excited to announce that Sell is now in the Zendesk Apps Marketplace, introducing a new line of apps to help sales teams sell more. Since 2012, the Zendesk Marketplace has powered the world of customer support. With just under 1,000 apps available for Zendesk Support and Chat, the Marketplace has allowed support organizations to extend Zendesk products to address unique business needs and ultimately enable companies to create the best customer experience possible for their customers.

6 Tactics to Focus on for Preventing Customer Churn

The concept of “customer churn”, or customers leaving a business, is something that keeps executives around the world awake at night. Especially in the B2B (business-to-business) industry, losing just one major customer can make or break a business. So, what can companies do to ensure churn rates remain as low as possible? Here are six tactics.

An FBI spymaster taught me how to read my coworkers

“Wait. I don’t remember telling you the name of my hometown,” I said with an eyebrow cocked. “No, but I’m an intel analyst. So I know.” Truth be told, I was surprised the conversation hadn’t included more moments like this. I’m sitting in a tavern a few klicks down the road from the FBI’s training academy in Quantico, VA.

Why the remote work trend really matters, in 19 tweets

There’s a lot of pressure on the term “remote work.” It has been — and will continue to be — a trending buzzword. But, remote work as a concept seems to be thrown around loosely, and often fails to adequately convey all of its radical implications. Remote work is not just a sparkly employment perk. It’s not just working from the couch in pajamas. And it’s definitely not a digital nomad sipping a margarita in Bali while founding his next unicorn SaaS product.

The power of lead value in sales forecasting

One in four sales managers report being unhappy with their forecast accuracy, according to CSO Insights. However, it’s not always clear what your options are when you’re looking for a better alternative. For starters, most sales forecasting methods tend to follow one of two general approaches. The first is based on analyzing past revenue results and using that historical data to project future earnings, as in the case of a run rate or exponential smoothing formula.

A simple way to understand deep learning vs machine learning

Understanding the latest advancements in artificial intelligence (AI) can seem overwhelming, but if it’s learning the basics that you’re interested in, you can boil many AI innovations down to two concepts: machine learning and deep learning. These terms often seem like they’re interchangeable buzzwords, hence why it’s important to know the differences.