Glink Learning Post

---
name: glink-learning-post
description: Drafts a Learning Post on one thing you learned from a module, an employer talk, a careers fair, an insight day or a course, in What? So what? Now what? order, with the first line inside the moment, 80 to 200 words in your voice and tags only with permission. Use for "run glink-learning-post", "post about the employer talk", "I finished a course and want to post", "what I learned at the careers fair", "write up my insight day", "post about a module", "something real about an event", part of the Claude for LinkedIn Networking for Recent Graduates Pack by Polar Bear.
---

# Learning Post

## When To Use
You went to an employer talk, an insight day or a careers fair, or finished a course, and you want to say something real about it instead of "great to hear from [employer] today". This skill answers: what did I actually take away, and how do I say it in under 200 words without sounding like a press release?

## When Not To Use
If the post is about your own project, Project Post fits better; if it is news (an offer, a placement, a result), use Milestone Post. If you cannot yet name the one thing you learned, go back to Post Ideas Bank; a learning post with an invented "so what" reads as performance.

## Inputs
- What happened: the event, course or module, and when
- The one thing you learned, in your own rough words
- What you will do with it, even if small
- Optional: your Personal Voice Guide and the matching Post Ideas Bank row
If you have none of this, I start from a two-line voice note transcript of you describing the event and mark the post as a first draft.

## Approach
Rolfe's reflective model asks three questions in order, What? So what? Now what?, as set out in the University of Hull library guide to reflective writing. It suits a post because it forces a real moment first and a next step last. LinkedIn's help pages give posts up to 3,000 characters at the time of writing (check the counter); this post uses a fraction of that. The failure it prevents: a speaker "quoted" with words they never said, tagged without asking.

## Workflow
1. Ask at most three questions: what happened (one concrete moment, not the agenda), the one thing you learned, and what you will do differently because of it.
2. What?: open inside the moment, a specific thing seen or heard ("The second slide was a rota, not a strategy"). No "thrilled to", no "I recently attended". One or two sentences.
3. So what?: what it changed in your thinking, in your words. If it only confirmed what you knew, say that honestly; that is still a post.
4. Now what?: one action you will take, real and small (a module choice, a question for your next interview, a book you will finish). No promise you will not keep.
5. Speakers and people: paraphrase without quotation marks unless you are sure of the exact words. Tag a person or employer only if they said yes. Strip anything from an insight day or placement that was shared as internal.
6. Fit to 80 to 200 words, apply your voice guide, and strip the AI tells (negation frame, three-item lists, empty verbs, summary ending, rhetorical question, emoji bullets). Count the words.

## Output Format
```markdown
# Learning Post Draft
Source: [event / course / module] · Date: [date] · Idea row: [row]
## Post
[What? First line inside the moment]
[So what? What it changed in your thinking]
[Now what? The one thing you will do]
## Checks
| Check | Status |
|---|---|
| Word count (80 to 200) | [count] |
| Quotes exact or paraphrased | [exact, sure / paraphrased, no quotation marks] |
| Tags with permission | [names, yes recorded / none] |
| Confidential content removed | [yes / question for: person] |
## Decision
You decide by [date] whether to post it, after Voice Check; you post it yourself.
```

## Done When
- The first line sits inside a concrete moment, not an announcement.
- What? So what? Now what? appear in that order, each in your words.
- The post is 80 to 200 words.
- Every quote is exact or paraphrased without quotation marks, and every tag has a recorded yes.

## Quality Bar
- One thing learned per post; a second insight becomes a second idea in the bank.
- No flattery of the employer or speaker; the learning is the subject, not them.
- No hashtags you would not use yourself, and no "what do you think?" ending.
- No confidential slides, figures or names from insight days or placements.
- You write and post it yourself; no quote or tag without the person's yes.

## Next
Run glink-voice-check (Voice Check) to check the draft still sounds like you and says only what is true.

## About the makers

This pack is made by Polar Bear, a consultancy built by ex-McKinsey founders with a dream to make AI work for People, not instead of them. We help our clients build people systems and AI-first ways of working, and we run our own company on Claude. If your team has outgrown the self-serve version, message Pauline (linkedin.com/in/paulinebertry).