linkedin-studio/references/engagement-frameworks.md
Kjell Tore Guttormsen 885526738c fix(linkedin-studio): N21 — scaffold-bånd-redesign + ferskhet-rester (newsletter-guide, first-comment) [skip-docs]
Del 1 — scaffold-bånd (KTG-beslutning: behold målbåndet, utvid komponentene).
Komponentsummen var 960–1 640 mot målbåndet 1 200–1 800: en skjelett-konform
draft kunne lande under gulvet og nådde aldri taket. Nye bånd — Context
250–350, Insight 550–850, Implication 250–350 (Hook 110–140 og CTA 50–100
uendret) — summerer til 1 210–1 790, altså INNI 1 200–1 800. Skjelett-konform
er nå gate-konform per konstruksjon.

Målbåndet 1 200–1 800 er uendret overalt; hooks/prompts/content-quality-gate.md
(den kanoniske gaten) er ikke rørt. Alternativet — å heve taket per AuthoredUp
D-4 — ville krevd 25 filer / 40 linjer inkl. gate-prompten, begge skills,
quality-scorecard, config-malen og brain-fiksturen.

Skjelettet fantes i seks kopier, alle rettet på KTG-go: commands/post.md,
commands/batch.md, commands/pipeline.md, references/engagement-frameworks.md,
agents/content-optimizer.md, skills/linkedin-content-creation/SKILL.md. De tre
siste lå utenfor planens scope, men to av dem var internt selvmotsigende på én
linje (overskrift 1 200–1 800 over komponenter som summerte til 960–1 640), og
engagement-frameworks.md er nettopp fila post.md/pipeline.md instruerer
modellen om å LESE for strukturen.

Nabofunn tatt med på KTG-go: post.md:95 ga «Personal stories → 1 000–1 400»,
som motsa post.md:136s egen gate. Kald-review R2a MAJOR — nå 1 200–1 800.

D-4 inn i kanonfila: ny «Post length»-seksjon i
references/algorithm-signals-reference.md med AuthoredUp-optimumet 1 301–2 500
(372 126 poster, sep 2025–feb 2026), merket single-vendor/ett vindu, med
eksplisitt note om at datapunktet gjør det shippede taket konservativt — ikke
feil — og at de to AuthoredUp-N-ene i fila (621K vs 372K) er ulike studier.
Kilde verifisert mot primærkilden, ikke overført fra planen.

Del 2 — ferskhet-rester (begge påstander verifisert mot LinkedIn Help):
- D-6 newsletter-strategy-guide.md: «5 000+ følgere» framstilt som terskel er
  feil — «All LinkedIn members have access to create a newsletter on LinkedIn»
  (a517914). Omskrevet til redaksjonell modenhetsvurdering (også i
  Mistakes-tabellen og Bottom Line). E-post er ikke garantert: LinkedIn
  de-dupliserer på tvers av kanaler — «if you receive an in-app or push
  notification, you should not expect to also receive an email for the same
  notification» (a517914). Bringer referansefila i tråd med newsletter.md:2384.
  Fjernet samtidig den ukildede «Algorithm favors newsletters from established
  creators» i den omskrevne blokka.
- D-7 first-comment-strategy.md: «pinned by default» er uverifisert og feil —
  pinning er en eksplisitt forfatterhandling (a524166), og standard
  kommentarsortering er algoritmisk. Lagt til «What this file does not claim»-
  avsnitt som speiler kanonfilas «contested»/low-confidence-epistemikk.

Scope 3 (KTG-go, amend): references/engagement-frameworks.md har FIRE
skjeletter, ikke ett. To til brot gulvet i malbandet — Data-Driven Post
(1 050-1 400) og Contrarian Post (1 060-1 410) — og er lagt om til samme
komponentprofil som Standard, sum 1 210-1 790. Narrative Arc (1 350-1 500) la
allerede inni og star urort; alle tre har na en eksplisitt sum-linje. Fila er
den post.md:104 sender modellen til for «story structures», sa a sertifisere
den som fikset med to odelagte skjeletter igjen ville vaert usant.

SUPERSEDED og ikke gjeninnført: gammel B §S6 Del 2 pkt 1 (first-comment
−5/−10 %-tall, pods-eskalering, 360Brew-fotnote).

Verifisering: bånd-summen ligger inni målbåndet i alle seks kopier av
standard-skjelettet og i alle fire skjelettene i engagement-frameworks.md
(grep-bevis, 0 gjenværende 200-300/400-800) · D-6/D-7 omformulert (0 treff på
«5,000+ followers» / «pinned by default» / «inbox + email») · alle ti suiter
grønne, alle floors uendret: test-runner 270/0 (269 assertions >= floor 251) ·
trends 300/0 · analytics 202/0 · hooks 191/0 · brain 134/0 · editions 72/0 ·
render 63/0 · specifics-bank 45/0 · tests 35/0 · contract-gate 33/0.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LhF1H7ctT5Fk8KkoCQpe5n
2026-07-31 18:08:53 +02:00

373 lines
12 KiB
Markdown

# Engagement Frameworks
Proven structures for maximizing LinkedIn engagement through hooks, storytelling, and calls-to-action.
## Hook Frameworks (First 110-140 Characters)
The hook determines whether people click "see more." It must work standalone on mobile.
### 10 High-Performing Hook Types
**1. The Surprising Stat**
Pattern: Lead with a number that challenges expectations
- "84% of organizations say their data infrastructure can't support AI."
- "We spent €2M on infrastructure. It bought us 6 months of delay."
- "3 out of 4 AI projects in my organization failed this year."
**2. The Bold Statement**
Pattern: Make a strong, clear claim
- "AI readiness is a leadership problem, not a technology problem."
- "Your data strategy is probably backwards."
- "We need to stop calling them 'AI projects.'"
**3. The Provocative Question**
Pattern: Ask something that makes people stop
- "What if the AI revolution requires doing less, not more?"
- "Why are we implementing AI before fixing our data?"
- "Is your organization brave enough to wait?"
**4. The Contrarian Opening**
Pattern: Challenge what "everyone" believes
- "Everyone's rushing to implement AI. That's the mistake."
- "Popular opinion: We need more data. Reality: We need better questions."
- "The advice you're getting about AI transformation? It's 3 years too late."
**5. The Personal Confession**
Pattern: Admit something unexpected
- "I was wrong about AI readiness. Here's what changed my mind:"
- "Our €2M AI platform failed. Here's why:"
- "I used to think data quality was our problem. I was looking at the wrong problem."
**6. The Pattern Observation**
Pattern: Point out something others might miss
- "I've noticed a pattern: Every successful AI project shares this one thing."
- "There's a gap between what executives want and what actually works."
- "The organizations succeeding with AI aren't the ones you'd expect."
**7. The Time Frame**
Pattern: Create urgency with specific timing
- "In 18-36 months, most AI initiatives will fail. Here's why:"
- "We have 6 months to fix this. Here's the plan:"
- "This week, I learned something that changes everything about AI strategy."
**8. The Lesson Learned**
Pattern: Promise a valuable takeaway
- "Three years of AI projects taught me this uncomfortable truth:"
- "We failed at AI implementation. The lesson was worth the cost:"
- "After 12 failed experiments, we finally figured it out:"
**9. The Scenario Opening**
Pattern: Set a scene that resonates
- "You're in a meeting. Everyone's excited about AI. Nobody mentions the data."
- "It's 2027. Your AI initiative just failed. Here's what you missed:"
- "Picture this: You've spent millions on infrastructure, and nothing works."
**10. The Direct Address**
Pattern: Speak directly to a specific audience
- "If you run RevOps at a B2B SaaS company, we need to talk."
- "To everyone implementing AI right now: Pause and read this."
- "Fellow AI advisors: Are we being honest about timelines?"
### Hook Writing Rules
1. **Frontload value:** Put the most interesting part first
2. **Avoid weak openings:** No "Happy Monday!" or "I hope you're well"
3. **Be specific:** "We spent €2M" beats "We spent a lot"
4. **Create curiosity:** Make people want to know more
5. **Test on mobile:** Does it work in 110 characters?
### The Hook Psychology Research
Analysis of 9,000+ viral posts reveals the science behind what works:
**Pattern Interrupts:**
- Viral posts tend to open with **more pattern interrupts** in the first two lines (multiplier unverified)
- Pattern interrupts create information gaps that psychologically demand closure
- Trigger dopamine release and heightened attention
- Brain's prediction error system activates when expectations disrupted
**Optimal Hook Structure:**
- First line: ~49 characters (tested optimal length)
- Full opening: Utilize all 140 characters visible on mobile
- Keep sentences under 15 words
- Use three short lines with spaces between them
- Front-load value in first two lines
- Skip one line after hook before continuing
**Justin Welsh's Three-Step Viral Formula:**
1. **Create scroll-stopper** by attacking relatable enemy
Example: "The 9 to 5 is getting pummeled."
2. **Flip the script** with positive force
Example: "The great resignation is growing faster than ever."
3. **Add gasoline and teaser**
Example: "And I love it. Why?"
This structure creates positive response by opposing forces and compels the "see more" click through strategic curiosity gaps.
**The Information Gap Technique:**
- Create question in reader's mind
- Make answer visible only by reading
- Hook promises resolution
- Satisfaction drives sharing
**Psychological Mechanisms:**
- **Curiosity Gap:** Gap between what they know and want to know
- **Cognitive Closure:** Brain demands resolution of incomplete narratives
- **Prediction Error:** Unexpected statements force attention
- **Emotional Resonance:** Personal relevance creates immediate connection
**Example Application:**
❌ Weak: "I learned something about AI this week"
- No pattern interrupt
- Vague promise
- No information gap
✅ Strong: "84% of organizations can't support AI. Here's the part nobody talks about:"
- Surprising statistic (pattern interrupt)
- Creates information gap (what's the hidden part?)
- Demands cognitive closure
- Promises insider knowledge
## Story Structure Frameworks
### The Standard Post Structure (1,200-1,800 chars)
**Hook (110-140 chars)**
→ Grab attention, create curiosity
**Context (250-350 chars)**
→ Set up the situation/problem/observation
→ Why should they care?
→ What's at stake?
**Insight/Argument (550-850 chars)**
→ Your main point
→ Supporting evidence or logic
→ This is the "meat" of the post
**Implication (250-350 chars)**
→ What does this mean?
→ Why does it matter?
→ Connect to bigger picture
**Call-to-Action (50-100 chars)**
→ What should the reader do/think?
→ Engagement prompt
*The five components sum to 1,210-1,790 characters — inside the 1,200-1,800 standard
band, so a draft that respects each component band passes the length gate by
construction.*
### The Narrative Arc (For Story-Based Posts)
**Setup (200 chars)**
→ Scene setting
→ "Let me tell you about..."
**Challenge (300 chars)**
→ The problem/obstacle
→ What went wrong or what was at stake
**Turning Point (300 chars)**
→ The realization/decision/change
→ "Then I realized..."
**Resolution (300 chars)**
→ What happened
→ The outcome
**Lesson (200-300 chars)**
→ What this teaches us
→ The broader application
**CTA (50-100 chars)**
→ Engagement prompt
*Sum: 1,350-1,500 characters — inside the 1,200-1,800 standard band.*
### The Data-Driven Post (For Research/Statistics)
**Stat Hook (110-140 chars)**
→ Lead with the surprising number
**Context (250-350 chars)**
→ Where this data comes from
→ Why it matters
**Breakdown (550-850 chars)**
→ What the data actually means
→ Deeper analysis
→ Connect to reader's reality
**Action (250-350 chars)**
→ What to do with this information
→ Practical takeaways
**CTA (50-100 chars)**
→ Engagement prompt
*Sum: 1,210-1,790 characters — inside the 1,200-1,800 standard band.*
### The Contrarian Post (For Challenging Norms)
**Bold Claim Hook (110-140 chars)**
→ State the contrarian position clearly
**Common Wisdom (250-350 chars)**
→ Acknowledge what "everyone" thinks
→ Show you understand the conventional view
**The Challenge (550-850 chars)**
→ Why the common wisdom fails
→ Evidence or logic for your position
→ Personal experience or data
**Alternative View (250-350 chars)**
→ What we should do instead
→ The better approach
**CTA (50-100 chars)**
→ Invite discussion/disagreement
*Sum: 1,210-1,790 characters — inside the 1,200-1,800 standard band.*
## Call-to-Action Frameworks
CTAs should encourage engagement while feeling natural, not forced.
### High-Engagement CTAs
**Genuine Questions:**
- "What's your experience with this?"
- "Am I missing something here?"
- "Is this just my organization, or are others seeing this?"
**Invitations to Share:**
- "Tag someone who needs to see this."
- "Share this if you've experienced this."
- "Who else is dealing with this challenge?"
**Specific Asks:**
- "What would you add to this list?"
- "Which of these resonates most with you?"
- "What's worked for you?"
**Challenge to Status Quo:**
- "Change my mind."
- "Prove me wrong."
- "What am I not considering?"
**Practical Extension:**
- "What questions should I answer in a follow-up?"
- "Want me to write more about [specific aspect]?"
- "Should I share the framework we use?"
### CTA Rules
1. **Make it specific:** "What do you think?" is weak. "Which strategy has worked for your team?" is strong.
2. **Keep it genuine:** Don't ask questions you don't care about
3. **Create optionality:** Give people multiple ways to engage (comment, share, connect)
4. **Match the tone:** Serious post = serious CTA. Personal post = personal CTA.
## Paragraph Structure Best Practices
### Visual Readability
**Use short paragraphs:**
- 1-3 sentences per paragraph
- Lots of white space
- Easy to scan on mobile
**Strategic formatting:**
- Break before key points
- Use line breaks for emphasis
- Never write walls of text
**Example of good structure:**
```
[Hook paragraph - 1 sentence]
[Context paragraph - 2-3 sentences]
[Key insight paragraph - 1 sentence]
[Supporting detail - 2-3 sentences]
[Implication paragraph - 2 sentences]
[CTA - 1 sentence]
```
### Sentence Length Variation
Mix short and long sentences:
- Short sentences: impact and emphasis
- Medium sentences: explanation and flow
- Long sentences: detail and nuance
**Example:**
"We failed. [SHORT - impact]
Our €2M data platform took 18 months to build and six months to realize it solved the wrong problem. [LONG - detail]
The lesson was expensive but clear. [MEDIUM - transition]"
## Tone Guidelines
### What Works on LinkedIn
**Authoritative but accessible:**
- Share expertise without jargon
- Explain, don't lecture
- Confidence without arrogance
**Authentic over polished:**
- Real stories beat corporate speak
- Admit mistakes and uncertainties
- Sound human, not like a press release
**Helpful over promotional:**
- Lead with value, not credentials
- Make readers smarter
- Give away insights freely
### What Doesn't Work
- Humble brags disguised as insights
- Excessive self-promotion
- Corporate jargon without translation
- Vague platitudes
- Overly formal or academic tone
## Engagement Timing Best Practices
### Engagement Quality Hierarchy
Not all engagement is equal. The defensible spine is the **order**, not a fixed multiplier — LinkedIn publishes no coefficient table, so trust the order and test the number:
1. **Saves** (top signal — content worth returning to; a save ≈ 5x a like in single-vendor data)
2. **Shares** (high signal — amplification and endorsement)
3. **Comments 15+ words** (substantive comments outweigh short ones; a quality comment ≈ 2x a like)
4. **Comments <15 words** (moderate signal)
5. **Reactions** (baseline engagement unit)
**Key insight:** One save or substantive comment is worth more than many reactions. Focus on content people want to save and share, and cultivate genuine substantive comments. See `references/algorithm-signals-reference.md` (cite, don't restate magnitudes).
### First Hour Critical
- Aim for 15+ engagements in first 60 minutes
- Respond quickly to early comments (a 30-minute response tends to earn more follow-up comments — figure unverified)
- Seed engagement by notifying key connections
### Comment Strategy
- Reply to every comment in first 2-3 hours
- Add value in replies, don't just say "thanks"
- Tag relevant people in your responses
- Use replies to extend the conversation
### Post Timing
- **Optimal window: 8-9 AM Tuesday-Wednesday** (peak engagement period)
- Tuesday-Thursday typically perform best
- Early morning (6-8 AM) or lunchtime (12-1 PM) in target timezone
- Consistency matters more than "perfect" timing