Carousels live or die on slide 1 (the hook) and slide N (the save). These prompts walk you slide-by-slide through structure, pacing, and the save-driving payoff that most carousels miss.
IG carousel vs LinkedIn document post: what actually differs
The two formats look identical from a distance — a stack of slides you swipe through — but the algorithm they live inside is not the same, and the slide that wins on one platform often loses on the other. Below, the same topic (“5 indie-maker mistakes”) rebuilt for each.
Instagram carousel
- Aspect ratio: 1080×1350 (4:5)
- Slide count: 7-10 sweet spot
- Algorithm: SAVES > likes (IG weights saves heavily, then shares, then comments)
- Slide 1: pattern interrupt — bold claim, oversized text, no logo clutter
- Slides 2-N: visual-led, short text overlay, generous whitespace
- Last slide: CTA (save, share, follow) + handle
Sample IG-coded template for “5 indie-maker mistakes”:
Slide 1 (cover, pattern interrupt):
"I lost $40k to these 5 mistakes."
Huge text, off-center, no logo.
Slide 2 (the promise):
"All 5 — and the fix — by slide 7. Save it."
Slides 3-7 (one mistake per slide):
Mistake headline (4-5 words, oversized)
One-line consequence
One-line fix
No paragraphs. Whitespace > info density.
Slide 8 (save CTA):
"Save this. You'll do at least 2 of these in year 1."
Handle bottom-right. No headshot.LinkedIn document post
- Aspect ratio: 1080×1350 also works; 4:3 PDF is fine too
- Slide count: 8-12 (LinkedIn audience reads more per slide)
- Algorithm: COMMENTS > saves (LinkedIn weights comments and dwell heavily)
- Slide 1: professional headline (no clickbait), clear thesis
- Slides 2-N: data + insight, more text per slide, professional design (less playful than IG)
- Last slide: question to drive comments + handle + headshot
Sample LinkedIn-coded template for “5 indie-maker mistakes” — same topic, different execution:
Slide 1 (cover, thesis):
"5 mistakes most indie makers make in year 1 — and what the data shows about each."
Clean type, small headshot bottom-left.
Slide 2 (context):
Who I am, sample size (e.g. "Reviewed 200 indie SaaS launches in 2024-25").
Slides 3-12 (one mistake per 2 slides):
Slide A: Mistake + the data point that proves it
Slide B: The fix + a 1-line example
Paragraphs OK. Cite where the data came from.
Slide 12 (comment CTA):
"Which of these did you do? Which would you add?"
Handle + headshot + small logo.The shorthand: IG slide 1 has to stop the thumb; LinkedIn slide 1 has to earn the dwell. IG ends with “save this”; LinkedIn ends with “what’s your take”.
When you use the 12 prompts below, each is tagged with its best-fit platform — [IG], [LinkedIn], or [Both].
Best for
- Instagram carousels
- LinkedIn document posts
- Educational content
- Personal-brand storytelling
- Repurposed long-form into 8 slides
1. 8-slide educational carousel [Both]
Design an 8-slide educational carousel on "{topic}". Output per slide: headline, 1-line body, visual cue. Slide 1: cover hook. Slide 2: "this is why it matters". Slides 3-6: 4 specific points. Slide 7: recap. Slide 8: CTA / save.2. Cover-slide A/B variants [Both]
Generate 6 cover slide variants for a carousel on "{topic}". Each: a hook headline ≤7 words, a sub-line, a visual cue. Vary the angle: contrarian, numbered, question, "stop doing X". Mark the strongest for {platform}.3. Story-arc carousel (10 slides) [LinkedIn]
Design a 10-slide story carousel. Story: {paste}. Output: slide 1 hook, slides 2-3 setup, slide 4-6 conflict, slide 7-8 turning point, slide 9 lesson, slide 10 CTA. Each slide ≤25 words of body.4. Listicle carousel [Both]
Design a "{N} {things} for {audience}" carousel. Output: cover, intro slide, N item slides each with the same structure (headline / 1-line body / 1 mini-example), outro slide with save-CTA.5. Before / after carousel [IG]
Design a 7-slide "before / after" carousel for {topic}. Output: cover, before state (2 slides), the turning point (1 slide), after state (2 slides), the principle behind it (1 slide).6. Mistake-fix carousel [Both]
Design a 9-slide carousel: "{N} mistakes in {field} (and how to fix)". Slides: cover, intro context, then for each mistake: 1 slide describing it + 1 slide with the fix. End with a saveable summary slide.7. Tutorial / how-to carousel [Both]
Design an 8-slide how-to carousel for {task}. Slides: cover, prerequisites, 5 step slides, outro with "save this for later" + sub-CTA.8. Mental-model / framework carousel [LinkedIn]
Design a 7-slide carousel introducing a framework for {decision}. Slides: cover, the problem, the framework name + diagram description, 3 application slides, save-CTA.9. Repurpose long-form to carousel [LinkedIn]
Below is a 1,500-word article. Extract a 10-slide carousel that preserves the strongest argument. Mark which paragraph in the source becomes each slide. Cut the rest ruthlessly.
{paste article}10. Stat-led data carousel [LinkedIn]
Design a 6-slide carousel built around a striking statistic about {topic}. Slides: cover with the number, what the number means, 2 examples of it, what to do about it, save-CTA. Source the statistic explicitly.11. Save-driving outro slide [IG]
My carousel currently has a weak final slide. Below: the topic and slide 1. Write 5 strong final-slide variants that drive saves: summary, "screenshot this", framework recap, mini-checklist, decision tree.
{paste topic + slide 1}12. Slide-by-slide retention check [Both]
Below is my full carousel. Walk through each slide and predict where readers will swipe-away vs keep going. Suggest the rewrite that holds attention through slide N.
{paste slides}Common mistakes
- Slide 1 cover that does not promise a payoff
- Burying the lead in slide 4
- Last slide is “follow me for more” with no save value
- Inconsistent visual style across slides
- Too many slides (>10 on IG, >12 on LinkedIn)
Practical depth notes
Use these prompts as starting points, not final answers. For Carousel Post Prompts for Instagram and LinkedIn, the useful extra work is to replace every generic placeholder with a real constraint: audience, channel, length, brand voice, examples to imitate, and examples to avoid. Run at least two versions with different constraints, then compare the outputs side by side instead of accepting the first polished response.
A good result should pass three checks: it is specific enough that another person could reuse it, it avoids vague praise or filler, and it gives you an editable artifact rather than a broad suggestion. If the output feels generic, add one concrete reference, one forbidden pattern, and one measurable success criterion before rerunning the prompt. Before saving a prompt as reusable, test it on one realistic input and one edge case. The realistic input proves the template can produce the normal deliverable; the edge case shows whether it handles messy constraints, missing context, or an unusual audience. Keep the better output, but also keep the failed version with a note on what was missing. That small failure log is what turns a prompt collection from a list of nice sentences into a practical working library. One final check: compare the finished result against the original goal in a single sentence. If that sentence is hard to write, the output is probably polished but unfocused. Tighten the goal, remove decorative language, and rerun only the weak section instead of regenerating the entire piece.