Start with your role. Know what to do next.

A Space is built around a real kind of worker. Then we keep watch for the blockers, changes, and questions landing in that work.

Real Space example

A role, a blocker, and the published help it turns into.

Live from SpacesRead-only

The Space

Microsoft 365 Productivity Workers

Get control of Outlook, Teams, tasks, meetings, and files without adding another productivity app. Practical Microsoft 365 workflows and timely updat...

Role firstProblems first

The blocker

85 impact

My Teams meetings are back-to-back, so I have no time to do the work

Back-to-back Teams meetings leave no room for focused work. A meeting triage calendar helps workers protect buffers, focus blocks, and async alternatives.

What it becomes

The smallest useful answer, not a random pile of content.

Blueprint

Set Up A One-Week Meeting Triage Pack

Microsoft 365 worker selects Word, OneNote, Loop, Excel or plain document. AI companion walks through setup, two-week meeting audit, classification,...

Course

Build a Meeting Triage Calendar in Outlook and Teams

Outlook and Teams calendars fill with meetings that crowd out focus time. This course shows how to audit two weeks of invites, classify each as atten...

Briefing

Decide Which Meetings Should Become Async Updates

Framework helps knowledge workers evaluate recurring meetings. Six gates assess purpose, decision ownership, ambiguity, audience, risk, and next acti...

A Space is built backwards from the person doing the work.

We get clear on who the Space is for, what they are responsible for, where AI and automation are creating pressure, and what a genuinely useful answer would look like.

Generic content fails because the work is not generic.

“AI at work” means different things depending on the person. A Copilot champion, SharePoint admin, Power Automate builder, and reporting analyst all need different help from the same wave of change.

We define the role

Not a fake persona. A real kind of worker with real tools, pressure, deadlines, and awkward handoffs.

Find your Space

We map the blockers

The things that make people mutter: confusing ownership, risky shortcuts, stale reports, weak trust, and repeated questions.

We decide what good help looks like

A short answer when that is enough. A course when the fix needs depth. A Blueprint when AI needs a proper starting point.

Read about Blueprints

The working loop.

AI helps us move quickly, but people still decide what matters and what is good enough to publish.

01

Define the Space

We choose the role or work area and the real pressure that makes it worth having a Space.

02

Find and check blockers

We look for repeated questions, product changes, community noise, and member-submitted problems.

03

Package the useful answer

The answer becomes the smallest useful thing: a Pulse update, briefing, course, Board, or Blueprint.

The result is a Space that keeps moving.

When the work changes again, the Space can change with it. That is the whole point.

Current signal

Short updates explain what changed, why it matters, and what to watch.

How research works

Human judgement

People approve the direction so AI speed does not turn into AI slop.

Member feedback

If members keep hitting the same problem, that becomes stronger evidence for what to research next.

How research works

Connected help

Briefings, courses, Boards, and Blueprints stay close to the problem they solve.

Read about Blueprints

The bit that makes Spaces different.

Most learning products start with “what can we teach?” Spaces starts with “what is stopping people?”

Old way 01

Teach a broad topic

Spaces way

Solve a named blocker

Old way 02

One big audience

Spaces way

One role or work area

Old way 03

Publish and forget

Spaces way

Watch, update, and improve

Old way 04

AI writes everything

Spaces way

AI helps, humans approve

The questions people ask before they try it.

Why do you keep talking about roles?

Because people buy help for the work they do, not for a vague topic. Role-based Spaces make the help feel relevant quicker.

Can members submit their own blockers?

Yes. If something is blocking you, add it. We can research it and, where it helps others too, turn it into useful Space content.

Is the research automated?

AI helps us move faster, but it does not get the final say. People decide what is useful, clear, and safe enough to publish.

Start with the work that is already changing

Pick your role and let the Space do the watching.

You still do the work. Spaces helps you see what is changing, what is blocking people, and what to do next.