Teams | Collaboration | Customer Service | Project Management

Asana vs. Trello: A Comprehensive Guide to Choosing the Right Project Management Tool for Your Growing Team

In the evolving landscape of project management tools, teams often find themselves at a crossroads: choosing between the simplicity of Trello's digital sticky notes and the orchestrated work management offered by Asana. This guide aims to provide a comprehensive comparison, helping SMBs, growing teams, and technical leaders make an informed decision.

Roadmapping in Asana as a Growth PM at Asana

In this blog article, hear from Adam Higa, Growth PM at Asana. I’m a Growth PM at Asana, and yes — I use Asana to build features for Asana. Very meta, I know. But being both a user and builder gives me a unique perspective on what works. I’ve developed a system with Asana that keeps me focused on outcomes, not just shipping features. Given it’s January, I wanted to share three tips for how I approach roadmapping and OKR planning in Asana.

Turn your conversations into coordinated work with Asana AI connectors

Great ideas start in AI tools. With 87% of employees now using AI at work,* teams brainstorm ideas, shape plans, get quick context, and move fast with the help of AI every day. And they're not waiting for official company AI rollouts either—only 31% of organizations have an AI usage policy in place.* As a result, work is no longer happening in one place. Employees jump between AI tools and their existing tech stacks, scattering tasks, content, and thinking across them.

The AI Super Productivity Paradox: More output, same bottlenecks

AI promises a radical leap in productivity. There is evidence that, on an individual level, this promise is being delivered. Employees are completing tasks in minutes that took hours just three years ago. This has fueled massive economic optimism, projecting labor cost savings of up to 25% and potentially affecting almost 10% of current GDP over time. However, this stunning individual acceleration has yet to show up in the bottom line.

3 ways AI Teammates solve the hardest problems in data and strategy

Common workflow bottlenecks—like complicated data audits and repetitive report drafting—don’t just grind productivity to a halt. They prevent teams from getting the clean, reliable insights they need to make smart decisions. While automation can help with simple tasks, it often falls short when it comes to solving complex problems that require context and strategic thought. This is why top organizations are adopting AI Teammates in Asana.

Asana Gov: Where secure coordination meets mission-critical government work

Government teams carry out work the public relies on every day: work that builds safer communities, strengthens infrastructure, and delivers critical services. This work demands coordination across agencies and partners, often under intense scrutiny and with limited resources. Outdated systems make that harder. Spreadsheets and email threads bury important updates, and legacy tools slow teams down when urgency is highest.

The three marketing roles we're powering with AI Teammates

Businesses everywhere are betting on a new wave of autonomous AI agents: technologies built to take on decisions and tasks once reserved for people. The promise is sweeping: agents will be able to run work in the background and carry out tasks directly, transforming how organizations operate. According to The Work Innovation Lab, 76% of workers expect to hand off nearly half their tasks to these agents within three years.

How this content team's AI workflow delivers content as fast as the forecast

When your mission is to help people make informed decisions in the face of ever-changing weather, stories can’t afford to get stuck in the production process. That's the challenge facing The Weather Company, a leading weather forecasting company trusted to deliver accurate, real-time weather insights by the hundreds of millions of people using The Weather Channel app and weather.com.

How a global software provider streamlines web requests with AI Studio

At Intapp, a global software provider serving more than 2,700 firms, web requests ranging from page updates to legal policy changes could carry real weight. Without a reliable way to capture and triage them, even simple requests turned into bottlenecks. Missing information, time zones, and slow triage often stretched quick updates into multi-day delays.