What is shared context?
Definition
Shared context is the common, current understanding a team holds about its work: what was decided, who committed to what, which risks are open and why. When it is written down in one governed place, people and AI tools can work from the same facts instead of each reconstructing them separately.
Also called: common ground, shared understanding
Updated
Teams have always run on shared context. It is what lets a new joiner ask a sensible question in week two, and what lets two departments act on the same decision without a meeting to compare notes. Most of it has never been written down. It lives in people’s heads, in calendar invites and in the last ten minutes of a call.
How it breaks down
Shared context erodes in predictable ways. A decision made in one meeting never reaches the people who were not in it. A plan changes, but the document describing it does not. Someone leaves and takes the reasons with them. Each gap is small; together they create the re-explaining, chasing and status meetings that make up the coordination tax.
The Coordination Tax Index 2026, In Parallel’s survey of 247 managers in five countries (Pollfish, June 2026), found managers spend 4.6 hours a week re-explaining context and 3.8 hours searching for past decisions. Both are symptoms of context that exists but is not shared.
Why AI makes it more pressing
AI assistants raise the cost of missing context. In the same survey, 91% of managers said they load context into their AI tools by hand. Every assistant gets a different briefing, so every assistant gives a slightly different answer. An AI context layer addresses this by keeping one record that people and tools read from, usually over the Model Context Protocol.
Shared context vs a knowledge base
A knowledge base stores documents that someone maintains. Shared context is about the state of the work: what is true now, who said so and when. A wiki page about a project can be accurate on the day it is written and wrong a week later. Shared context only holds up if it is captured where decisions are made and kept current as they change; otherwise it suffers context decay.
How In Parallel approaches it
In Parallel describes itself as the shared-context layer for modern work. Notes captures decisions, commitments, risks and six other signal types from meetings. Pages keeps the written record current. MCP serves the same context to Claude, ChatGPT, Copilot and Cursor, with access scoped to what each person is allowed to see.
FAQ
Common questions
- How is shared context different from documentation?
- Documentation is what someone chose to write down at a point in time. Shared context is the current state of decisions, commitments and open questions, including the parts that never reached a document. Good documentation is one input to it, not a substitute.
- Why does shared context matter for AI tools?
- A general-purpose model knows nothing about your company until someone tells it. Without shared context, every person briefs their own assistant by hand and each assistant ends up with a different, partial picture. With it, every tool starts from the same record.
- Who owns shared context in a company?
- Everyone contributes to it, mostly in meetings and threads. Ownership of the record itself should sit with the company, under the same access rules as the work it describes, so it survives changes of staff, tools and vendors.
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