Teams | Collaboration | Customer Service | Project Management

How to Use the Jobs to Be Done Framework in Miro

Your customers don't buy products. They hire solutions to make progress on goals that matter to them. In this video, we walk through the Jobs to Be Done template in Miro, covering how to map demand creation, analyze the hiring and firing process, and capture progress signals that tell you whether your solution is actually doing the job customers hired it for. Stop guessing. Start understanding. Subscribe for more product management and UX research tutorials in Miro.

How to Master Product Lifecycle Management in Miro

Most product teams manage their lifecycle across too many disconnected tools. In this video, we walk through three Miro templates that cover every stage from concept to launch: the Product Strategy Workshop for strategic alignment, Product Development Phases for tracking progress across discovery through deployment, and the PRD template for detailed requirements that keeps design, development, and marketing on the same page.

No Lost Luggage, No Lost Context: How Flight Centre Delivers with AI

Great ideas from workshops. Lost somewhere in the handoff. That's the problem Flight Centre Travel Group set out to solve — and at Canvas 26 Sydney, Global Chief Product Officer Wendie Lee and Head of Design Hans Barroga share exactly how they're tackling it. In this fireside chat, they discuss how Flight Centre is reimagining their product operating model across multiple brands and markets with Miro — using AI to make sure context doesn't get left behind when a collaborative session ends and the real work begins.

Why More AI Output Doesn't Mean More Progress

When everyone on your team is using AI, output goes up. But Relevance AI Co-founder & CEO Jacky Koh noticed something unexpected: the vector gets shorter. More work. Less progress. In this closing keynote from Canvas 26 Sydney, Jacky Koh and Poorva Bhardwaj share what it's actually like to run a company where agents and humans genuinely work side by side — and what that's taught them about alignment, unintentional AI adoption, and what it takes to turn a successful pilot into org-wide change.

How Culture Amp Is Reshaping How They Build with AI

94% of Culture Amp's engineers use AI tools. 81% say it makes them faster. But only 48% say it makes the work higher quality. That gap is exactly what this session is about. At Canvas 26 Sydney, Rhiannon Gaskell and Eric Grigson share what Culture Amp learned from six months of research into AI and engineering productivity — and how those findings are guiding a deliberate shift toward agentic AI across their entire product organisation.