Teams | Collaboration | Customer Service | Project Management

What actually changes when AI joins your research process

If you’re a PM or PMM, your research cycle probably looks something like this: We recently ran this entire cycle completely asynchronously in a single afternoon, and ended up with an interactive, stakeholder-ready research report. It was all about changing how we spent our time and seeing what actually changes when AI is part of the whole research workflow, from raw interviews to a report that stakeholders will read and trust.

What is the difference between workforce analytics and HR analytics?

HR analytics focuses on people-related data, such as hiring, retention, and engagement, and typically uses historical reports to guide business strategy. Workforce analytics focuses on how work gets done, using real-time data on productivity, workload, and workflows to help leaders optimize decisions and act faster at an operational level. The key difference is simple.

Zendesk CX Trends 2026: Lead in the AI era with contextual intelligence

AI promised better CX — but 83% of consumers still expect more. Contextual intelligence is the missing link that lets teams deliver smarter, faster, and more meaningful experiences. In this video, we unpack the five trends shaping CX in 2026 and show how contextual intelligence helps you: Watch to learn how to lead in the AI era and start applying contextual intelligence in your organization today.

How to Set Up an HR AI Chatbot in Under 10 Minutes Step by Step Demo| #AIAgent #AIforHR #AIchatbot

What if you could build a fully functional HR AI chatbot… in under 10 minutes? In this video, I’ll show you how to create an HR AI Agent using your own knowledge base no coding, no complexity. From setting up the basics to connecting your data and launching your chatbot, everything is done step-by-step. This isn’t just a chatbot that answers questions. This is AI for HR that can understand your company policies and take real action.

Automating Engineering Workflows: How Miro uses MCP & AI Agents

In this webinar, the Miro team explores how the Model Context Protocol (MCP) allows models to move beyond answering questions to performing complex tasks like cooking up code, diagrams, and documentation directly within Miro. We walk through efficiency gains created by using our own MCP Server internally. We cover using it for security reviews, PR Reviews, logs tracing, and building slide decks for leadership presentations.

Use AI Tool Usage Data for Team Upskilling

Most organizations are encouraging employees to experiment with AI tools, yet many leaders struggle with a practical question: how do you turn employee AI usage into real skill development without creating a culture of surveillance? Simply knowing that employees are using AI does not mean those tools are improving productivity, decision-making, or work quality.