Teams | Collaboration | Customer Service | Project Management

Time Doctor MCP: Analyze Workforce data in Claude, ChatGPT, and Gemini.

Time Doctor, now in Claude, ChatGPT, and Gemini. Ask your workforce data a question instead of exporting a report. In this video, Time Doctor shows how the Time Doctor MCP connects your Time Doctor data to the AI tools your team already uses. Ask about your distributed team in plain language, refine the answer with follow-up questions, and put Time Doctor hours next to your payroll, CRM, and project data in one place, without stitching spreadsheets together.

What is employee monitoring software? A complete guide for 2026

How to get visibility into how your team works without micromanaging or losing their trust Quick overview: Employee monitoring software helps businesses track how teams spend their work time across remote, hybrid, and in-office settings. This guide covers what it is, how it works, what the law requires, and how to implement it in a way your team will actually trust.

Employee screen recording: Pros, cons, and better alternatives in 2026

The privacy, legal, and productivity considerations behind employee screen monitoring, plus smarter alternatives for modern teams Quick overview: Employee screen recording can help managers track performance, enforce company policies, and support IT troubleshooting. But it also comes with serious drawbacks: legal risks across multiple jurisdictions, employee trust issues, and a surveillance culture that can quietly drive up attrition.

What AI can do in performance management, and what it can't.

Performance management has been broken in most organizations for a long time. It was designed for offices, where managers could track progress through proximity and ambient visibility. Remote work removed the ambient visibility. AI is now removing the need for most traditional performance proxies.

Humans + Machines Unlocking Performance in Remote Teams

A manager copy-pasted a ChatGPT response to an employee's sick message, including the prompt fragment. The employee saw it. The trust damage was disproportionate to the effort saved. At @RunningRemote 2026, Nadia Vatalidis (Head of People, @todoist ) and Nick Francis (Chairman, @hellohelpscout ) discussed where AI belongs in performance management, and where it absolutely does not. Our take: AI can handle 90% of the synthesis work. Aggregating peer feedback, summarising months of data, addressing the recency bias that has always distorted annual reviews.

Remote-friendly is not enough anymore. Here's what remote-excellent looks like

The first wave of remote work had a low bar. Companies went remote because a pandemic gave them no choice. Being remote at all was the differentiator. The second wave is different. It is voluntary, which means it is competitive. Companies now choose whether to offer remote flexibility. Which means the employees choosing to work for them have genuine alternatives. According to Buffer, 98% of workers want remote work at least some of the time. 46% would consider leaving if forced back to office full-time.

The Second Wave of Remote Work - and Who Wins It

98% of workers want remote work at least some of the time. 46% would consider leaving if forced back to office full-time. Remote is no longer a differentiator. It is the floor. At @RunningRemote 2026, Nick Francis, Chairman of @hellohelpscout, introduced the Remote Excellence Audit, five dimensions that separate organizations that are remote by policy from organizations that are remote by design.

Remote work's next chapter: Why effort no longer equals value | Liam Martin | Running Remote

Remote work has stabilised. The debate about where people work is settled. The harder question is what performance looks like when AI can produce a full presentation in 78 seconds. In this clip from Running Remote 2026, Liam Martin (Co-founder, Time Doctor) introduces the performance equation for the next decade of distributed work: decisions x quality, divided by time. When the cost of production collapses, human value becomes a function of judgment -- not hours logged or deliverables delivered. Judgment.

Remote work's second wave is here. And it's not about location.

AI is absorbing the parts of your team’s work that used to prove someone was doing their job. If you manage a distributed team, that leaves a real question: what do you actually measure now, and how do you know it’s true? The location debate is already settled. US remote work has held steady at around 27% of the workforce for three years running, according to figures Liam Martin, co-founder of Time Doctor, cited in his opening keynote at Running Remote 2026.