How I cut hours from my workweek with 3 time management hacks
Discover 3 practical time management strategies you can start using today. Learn how to manage your time, block focus hours, and automate repetitive tasks with Asana. Chapters.
Teams | Collaboration | Customer Service | Project Management
Collaborating To Help Teams Work Better In The Modern Workplace
The latest News and Information on Collaboration, tools and related technologies.
Slack School | Get to know lists in Slack
If you’ve ever said, “I should make a spreadsheet for that,” this video is for you. See how lists can help your team stay organized, assign work, track progress, create custom views and automate tasks without ever leaving Slack. Class dismissed!
The internal communicator's path to becoming a gen AI power user
Many internal communicators began their AI journey with ChatGPT or Microsoft Copilot, using them for basic tasks: document summaries, email drafts, headline variations. Useful, but limited. Each conversation starts fresh. Every prompt requires providing context all over again. Nothing builds on what came before.
What's new in Asana | February 2026
Welcome to the February edition of What’s new in Asana. Key moments: Task types in synced bundles: Deploy and sync shareable custom task types across projects with bundles.
How We Work #1: Łukasz Sągol
Welcome to How We Work, a podcast hosted by Dominik Katz where we go from idea to impact. Each episode, we sit down with product leaders to unpack how they actually work across the product delivery lifecycle — how they discover, define, and deliver value. In this first episode, Dominik talks with Łukasz Sągol, Head of Intelligent Workflows, Integrations and Community at Miro. They dive into the rituals that keep his team aligned, how they scale product work, and how AI is shaping the way they build.
Artificial Intelligence in the Workplace: How It's Used, Benefits, and Risks
Artificial intelligence (AI) is no longer a thing of the future or a tool used only by large tech companies. Look around today’s workplace, and you’ll see it helping people draft emails, analyze data, even schedule meetings — it’s everywhere. According to a recent study by the National Bureau of Economic Research, AI adoption in the workplace has grown quickly since its mainstream use in 2022.
Messaging vs Social Networking Apps: Key Differences and Best Use Cases
If you have been involved with startups, then you have heard this story many times. A startup founder says, "We are building an easy-to-use messaging app." About six months later, you begin to see all the additional elements that have been added to the simple interface, such as feeds, like buttons, creators, advertisements, etc. Suddenly, it is no longer a simple messaging app; it becomes a social platform disguised as a chat app.
How AI Is Changing Team Communication Tools: From Chat Apps to Context-Aware Collaboration
Team communication tools have evolved significantly over the past decade. What began as simple chat applications designed to replace emails have now transformed into intelligent collaboration platforms capable of understanding context, predicting needs, and improving productivity at scale. At the center of this transformation is artificial intelligence (AI). AI is no longer an experimental feature in workplace tools. It is actively reshaping how teams communicate, collaborate, and make decisions.
Open source is key to Europe's digital sovereignty
Europe has been pursuing a digitally sovereign strategy for many years. The strategy entered the limelight back in 2019 when Ursula von der Leyen, European Commission President, called for Europe to “achieve technological sovereignty in some critical technology areas.” With war on the edge of the EU, and an apparent breakdown of the rules-based international order, European governments are seeking full control of their technology with ever more urgency.
Forrester report: How transformation leaders can deploy AI for GTM teams
IT leaders now manage an average of 12 AI tools, which is a 2.4x increase in just the last three years. And yet 89% of AI usage inside large organizations is effectively invisible, suggesting many of these tools aren’t procured, monitored, or measured properly.