World Model Readiness
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Personal Practice

Module · Is your experience written down

The Personal Knowledge Capture Check

The value you build at work lives mostly in your head, where nothing else can reach it. When it is written down it becomes something you can search, reuse, hand off, or feed to a tool that works on your behalf. This module checks the five habits that decide whether your experience compounds or evaporates: capturing as you go, recording the reasoning, being able to find it again, closing the loop back into new work, and sharing rather than hoarding.

Question 1 of 5 · You capture as you go

Do you write things down as you work, or trust your memory?

Memory is lossy, unsearchable, and it leaves the moment you switch tasks. A capture habit, however rough, turns fleeting work into something you or a tool can revisit later.

Question 2 of 5 · You record the why

When you make a real decision, do you record why you chose it?

The outcome of a decision is easy to see later; the reasoning behind it evaporates within days. The why is the part that teaches you, or an AI working from your notes, anything the next time round.

Question 3 of 5 · You can find it

When you need something you wrote before, can you actually find it?

Notes you cannot retrieve are a diary, not a knowledge base. Searchable, tagged, or simply well named beats a beautiful archive you never reopen.

Question 4 of 5 · Notes feed new work

Do your past notes actually shape what you do next?

Capture only pays off when it closes the loop: you reuse a template, dodge a repeated mistake, or prime an AI with your own context. Notes that are never reopened are write-only.

Question 5 of 5 · You share what you learn

Does what you learn stay in your head, or reach your team?

Knowledge hoarded feels like job security and works like a bottleneck. Knowledge shared is what lets a team, or a system trained on it, get better than any single person could.

For the statistics · one click each

Three questions for the public picture

These do not affect your score. They feed the anonymised, aggregated statistics; groups under 8 respondents are never shown.

How do you mainly capture what you learn at work?

I do not
Memory only
Scattered notes
One notes app
A structured system

When you need a note from months ago, how long does it take to find?

I cannot find it
A long dig
A few minutes
Seconds
I keep no notes

How much of what you learn gets written down where others could use it?

None of it
A little
Some of it
Most of it
Not sure

Your context

Used to calibrate the report. Company size and sector remain in the anonymized dataset; your email does not.

What the five levels look like

Every dimension in this assessment is scored 1 to 5. This is what the levels mean, dimension by dimension. The graded report diagnoses where your own answers land and what to do about it.

You capture as you go

  1. 1Pure memory
  2. 2Scattered scraps
  3. 3Notes sometimes
  4. 4Consistent notes
  5. 5Systematic capture

At the low end: Trusting memory means every insight expires within days and nothing accumulates. Start capturing in whatever tool is nearest, badly is fine; the habit matters more than the format. What good looks like: Systematic capture is the foundation everything else builds on. Keep the friction low; the moment capturing feels like a chore, the habit starts to lapse.

You record the why

  1. 1Never
  2. 2Only the outcome
  3. 3Sometimes the why
  4. 4Usually the why
  5. 5Why, options, tradeoffs

At the low end: Recording only what you did strips out the part worth keeping. Next time you make a real call, add two lines on why you chose it and what you rejected. What good looks like: Capturing the why, the options, and the tradeoffs gives your future self and any tool a real basis to learn from. Keep it concise; a paragraph that gets written beats an essay that does not.

You can find it

  1. 1Lost forever
  2. 2Dig for ages
  3. 3Find eventually
  4. 4Find quickly
  5. 5Instant and searchable

At the low end: If past notes are effectively lost, capturing them was wasted effort. Move to a searchable tool and give notes names your future self would actually type. What good looks like: Instant retrieval is what turns a pile of notes into a resource you actually lean on. Keep the naming and tagging honest as the pile grows; scale is what breaks lazy structure.

Notes feed new work

  1. 1Never reused
  2. 2Rarely reopened
  3. 3Occasionally reused
  4. 4Regularly reused
  5. 5Reuse is default

At the low end: Notes you never reopen are a cost with no return. Before your next similar task, deliberately go back and pull from what you wrote last time. What good looks like: When reuse is the default, your past work quietly makes your present work faster. Feed that context into your AI tools too; your notes are the differentiator a generic model lacks.

You share what you learn

  1. 1Hoard it all
  2. 2Share if pressed
  3. 3Share ad hoc
  4. 4Share by habit
  5. 5Document for reuse

At the low end: Hoarding what you know makes you a single point of failure, not an asset. Start writing the answer where a colleague could find it the next time they ask. What good looks like: Documenting for reuse turns your experience into something the whole team, and its tools, can build on. Keep it findable; shared knowledge nobody can locate is hoarding by accident.