Teams | Collaboration | Customer Service | Project Management

The product org's next AI payoff: deciding well, together

AI has delivered a step change in individual productivity across engineering, product, and design. The defining opportunity now is organizational: turning that individual speed into impact a whole team can feel. For most of software’s history, building was the most expensive step, so teams organized themselves around it. AI has turned that on its head.

From messy discovery notes to a scoped PRD: how Miyagami uses AI Flows to keep context alive across the PDLC

Alicia Calderon is Design Strategy Lead at Miyagami, a software agency in Amsterdam, where she oversees discovery and design for client projects. In collaboration with their Sales, PM, Design and Delivery teams, she built a Miro template that turns raw discovery sessions into a scoped PRD and product diagram, keeping one source of truth across an AI-heavy product development lifecycle workflow. Here’s how it works, and a template you can clone.

The long death of billable hours: What's keeping a "broken" system alive?

Reframe Expert Round-ups bring together some of the leading voices reshaping agency and consulting in the age of AI. Each month we tackle one of the industry’s most charged questions and ask our guest experts to give their honest, unfiltered takes. We aren’t here to give you identical, PR-polished, best practice answers. We’re here to help you navigate the messy middle – including the good, the bad and the ugly. The billable hour model has been under pressure for a long time.

Building to learn: rethinking the product playbook

At Canvas 26 in San Francisco. Ravi Mehta — product strategy advisor, longtime product leader, and teacher of Reforge’s AI strategy and AI prototyping courses — laid out a bold vision for product teams: unlearn the MVP, trade the assembly line for a jazz band, and expect the playbook to reset every six months.

What we learned at Love Tomorrow Summit

Love Tomorrow isn’t your average enterprise summit. There’s no business casual, no anonymous venue. Just thousands of people gathered on the site of Europe’s largest EDM festival under the bold banner “Live today. Love tomorrow. Unite forever.” Miro was one of the few brands invited to partner with the summit.

Miro completes IRAP assessment

If you’re buying software for an Australian government agency, you already know the drill: before any tool touches sensitive data, it has to prove itself against the Australian Government’s security bar. Miro has now cleared that bar. We’ve completed an assessment under the Information Security Registered Assessors Program (IRAP), giving your team independent, third-party confirmation that our platform holds up under the same standards used to evaluate systems handling government data.

Why collective intelligence needs friction to flourish

A colleague said something recently. We were talking about AI — how good it’s become, how fast it makes us — and he said: “It’s amazing, exciting. But also kind of lonely.” It’s true. We’ve built the most powerful thinking tool in history, handed a copy to everyone, and then used it to be more alone. Why? Because of a story we’ve always told ourselves about the lone genius. Except it’s not a story, it’s a myth.

The full-stack builder and the new shape of the product organization

Tomer Cohen spent 14 years at LinkedIn, six of them as Chief Product Officer. At Canvas 26, he discussed the rise of the full-stack builder — what it means for roles, org charts, and coordination — and named the collaboration challenge nobody has cracked yet. In fall 2022, Tomer Cohen sat in a conference room in Redmond and watched a demo of GPT-4 — several months before the rest of the market would see it.

Out of the chat window, onto the canvas: Bringing teams and agents together to build the right thing

Do the math on AI’s impact at your company. Add up every hour it saved last quarter — research synthesized in minutes, prototypes generated before lunch, code drafted overnight. Then, look at how much impact those shipped ideas are driving in terms of traffic, revenue, whatever metric means most to your business. The two numbers rarely add up.

Velocity over speed: Relevance AI founder & co-CEO Jacky Koh on moving fast as a team

AI has made every individual faster. The harder question — one we spent the day discussing at Canvas 26 Sydney — is whether it’s made teams faster. Those aren’t the same thing, and confusing them is where a lot of organizations’ AI ambitions get stuck. Jacky Koh has watched it happen up close. As founder and co-CEO of Relevance AI, an AI workforce platform used by Canva, Databricks, and Uber among many others, he spends his days helping companies put agents to work.