Find Video Ideas People Already Want
A page of video ideas with demand evidence attached — found in the wild, not guessed — and the skill to keep finding them forever.
In this lesson, you'll learn to…
- 1Find ideas where demand already announces itself: search, small channels, comments, and repeated questions
- 2Rate every idea with a simple evidence level — proven, promising, or hunch
- 3Tell trend ideas from evergreen ideas and know what a beginner channel needs more of
- 4Draw the inspiration-vs-copying line clearly and keep it forever
- 5Capture ideas before judging them — the habit that feeds everything in this module
Ideas are lying around in public
"I chose my direction… but what videos do I actually make?"
Here's the module's opening good news: you never have to invent video ideas from nothing again. The internet is a permanent, public record of what your audience wants — what they search, what they ask under other people's videos, what they complain nobody explains properly. Idea research isn't creativity under pressure; it's *collection*. The creativity comes later, in how YOU answer the demand.
You already did the first pass without realizing it: your Lesson 2 niche research produced a search harvest and a Small Channel Proof log. Those weren't just evidence for a decision — every line in them is a video idea wearing evidence. Jade's harvest contained 'forgotten history mysteries' and 'shortest war in history'; that second one became her first video. Today you'll systematically mine four sources like that — and attach an evidence level to everything you find, so when it's time to choose what to make, the choosing is easy.
One promise-filter reminder before the hunt: every idea you collect still has to pass your one-sentence promise from Module 1. Demand for a topic outside your promise is someone else's opportunity. The filter keeps your channel coherent while the research keeps it wanted — you need both, and now you have both.
Key idea: Idea research is collection, not invention: your audience publishes what they want every day — in searches, comments, and questions. Your job is to gather it, evidence-tag it, and answer it in your own way.
The four idea sources
Four places demand announces itself — work them in order, log everything in the worksheet:
1 · Search suggestions
Your Lesson 2 method, now aimed at video ideas: base queries + the alphabet trick. Each rich suggestion = a real question someone typed. Log the specific phrasings — they become titles later.
2 · Small-channel outliers
Revisit your Proof log + hunt fresh ones: WHAT topics outperformed on channels your size? The topic pulled, not the channel — that's an idea with receipts.
3 · Comments & questions
Read comments under 5–10 popular niche videos: 'what about…?', 'you didn't cover…', confusion, follow-up requests. Unanswered questions = uncontested ideas.
4 · Repeated problems
Themes that keep resurfacing across all three sources — and in your own life (Marcus hears the same 5 garage questions weekly). Repetition = durable demand, not a fluke.
Pro tip: Source #3 is the most underused on this list: comments on mid-size videos in your niche are a free, permanent focus group. 'Great video, but what about…?' is literally a viewer commissioning your next video.
Evidence levels: proven, promising, hunch
Not all ideas arrive equal, and pretending they do is how beginners spend twenty hours on a video nobody wanted. So every idea gets a one-letter tag as you log it:
P — PROVEN. Direct evidence: it's a search suggestion AND you've seen it work on a small channel, or multiple people are asking it in comments. These are your safest bets — demand has receipts. Priya's 'weekly grocery budget for a family of four': rich suggestions, two small-channel outliers, asked twice in comments she read. Proven.
p — PROMISING. Indirect evidence: adjacent topics work, the theme repeats, but you haven't seen this exact idea validated. Most good ideas live here. Jade's 'the war that lasted 38 minutes' — no small channel had done it, but 'strange history stories' as a category was proven all over her research.
h — HUNCH. No external evidence yet — just your instinct. Log it anyway (next section explains why), but tag it honestly. Hunches aren't bad; unlabeled hunches masquerading as safe bets are.
The tags do their real work later: your first videos should lean P and p, because as a new channel you want demand working FOR you while you're still learning production. Hunches earn their shots once the channel has rhythm — and Module 5 will teach you to test them cheaply. One more axis while you're tagging: trend vs. evergreen. Trend ideas (this month's news, a viral moment) can spike but expire; evergreen ideas (how-to, explainers, timeless stories) get searched year after year. A beginner channel wants mostly evergreen — your videos are your library, and evergreen books stay checked out.
| Tag | Evidence | When to make it |
|---|---|---|
| P — Proven | Search suggestion + small-channel outlier, or repeated comment requests | First videos — demand has receipts |
| p — Promising | Adjacent topics proven · theme repeats · exact idea unvalidated | The everyday backbone of your queue |
| h — Hunch | Your instinct only — logged honestly | Earns shots later, tested cheaply (Module 5) |
Watch out: New channels lean P and p: let proven demand work FOR you while you're learning production. And favor evergreen over trend — your videos are a library, and evergreen titles stay checked out for years.
Inspiration vs. copying — the line, drawn precisely
Researching other creators means looking at other creators' work, so let's draw the line once, precisely, and keep it forever — it protects your integrity AND your channel.
Free to learn from: topics ('small channels do well with restoration timelines'), questions the audience asks, formats and structures (a before/after reveal, a countdown), and patterns ('titles with specific numbers pull in this niche'). These are the shared language of the platform — studying them is literacy, not theft.
Never yours to take: someone's script or wording, their thumbnail design, their title copied verbatim, their specific creative expression — recreating their video beat-for-beat with the nouns swapped. That's not inspiration; it's laundering someone's work. It can also bite legally and algorithmically — but the deeper reason is the one Module 1 taught: your channel's only durable advantage is being yours. A copied channel competes with the original at a permanent disadvantage: the original got there first and means it.
The practical test when you're unsure: *could the creator you studied watch your video and feel studied — or robbed?* 'They made a restoration timeline video, so I'll make one about MY bike, my way' — studied; completely fair. 'I paused their video every 30 seconds and rebuilt it' — robbed. When Jade found a small channel doing well with 'strange history' listicles, she took the *category* and made 'the war that lasted 38 minutes' — a story that channel never touched, told in her voice, from her research. That's the whole craft: demand is shared; the answer is yours.
Key idea: The test: could the creator you studied watch your video and feel studied — or robbed? Topics, questions, formats, and patterns are shared language. Scripts, thumbnails, titles, and beat-for-beat structure are someone's work. Demand is shared; the answer is yours.
Capture first, judge later
Last habit of the lesson, and it's the one that feeds every other lesson in this module: when an idea arrives, capture it — don't audition it.
Here's why the order matters. Judging at capture-time kills ideas for the wrong reasons: you're tired, so everything sounds mediocre; you just watched a polished video, so your idea feels amateur by comparison; you can't instantly see the thumbnail, so you assume there isn't one. Meanwhile the idea itself might be P-grade demand. Capture and judgment are different mental jobs — done together, judgment always wins and the page stays empty. Done separately — capture everything now, score it in Lesson 202's system — both jobs get done well.
So the rule: every idea from today's research session, and every idea that ambushes you in the shower next Tuesday, goes onto the list in seconds — messy, unjudged, tagged with whatever evidence letter it honestly deserves. Marcus's research session produced 31 ideas, from P-grade ('carb cleaning for absolute beginners' — all four sources lit up) to pure hunch ('restoring my grandfather's toolbox' — zero external evidence, but his gut says the story matters). All 31 go on the page. Which ones get MADE — and in what order — is a different question entirely, and it's exactly what the next lesson's Idea Bank and scoring system answers.
By the end of today's exercise you'll have 20+ ideas with evidence tags. That page is the raw material for your entire first quarter of publishing — collected from the wild, honestly labeled, and waiting for a system.
One research session
Prompt Lab
Every prompt below is exactly what you saw in the lesson. Copy them, use them, make them yours.
The research organizer
Your research session produced a messy pile — suggestions, outlier notes, comment quotes, shower thoughts. Let AI sort the pile while every judgment stays yours.
Organize my video idea research. Below is my raw pile: search suggestions I harvested, small-channel outlier topics I logged, questions and requests I found in comments, and my own idea notes. Do: (1) de-duplicate and merge near-identical ideas, keeping the most specific phrasing; (2) group them into 4–6 natural theme clusters; (3) for each idea, note which of my evidence sources support it — based ONLY on what I've pasted, never assumed; (4) flag any idea that looks like a TREND (time-limited) vs. EVERGREEN; (5) list separately any idea that seems outside my channel promise: [paste promise]. Do not add ideas of your own and do not score or rank — evidence tags and choices are mine. MY RESEARCH PILE: [paste everything].
Why it works: De-duplicating, clustering, and cross-referencing is organizing work — AI's lane — while the no-new-ideas and no-ranking rules keep the demand evidence real (only what YOU found) and the judgment yours. The promise-check list catches drift before it enters your bank.
AI Workflow View
How AI fits into the real-world process — step by step.
Four sources
Search · small-channel outliers · comments · repeated problems
Capture first
Seconds per idea — judgment is a different job, done later
Evidence tags ★
P proven · p promising · h hunch + evergreen/trend
Promise filter
Demand outside your promise is someone else's opportunity
AI organizes
Clusters and de-dupes the pile — never invents demand
The idea harvest: mine the four public sources, capture without judging, tag with honest evidence levels, filter through your promise — and hand a full page to Lesson 202's system.
Hands-on Lab: The Idea Harvest — 20+ Ideas with Receipts
0/8 steps done
One research session, four sources, one full page. Budget 60 minutes — and remember: capture everything, judge nothing.
Your Turn: Do It Yourself
Now it's your turn. Follow these steps and check them off as you go.
You'll know it worked when:
A worksheet holding 20+ video ideas, each with an honest evidence tag and phrasing pulled from the wild — most students find 5+ P-grade ideas they'd never have invented from a blank page. Lesson 202 gives this page a home.
Going further:
Note which SOURCE produced your best ideas — for most niches one source over-delivers (comments for tutorial niches, outliers for story niches). That's your personal research shortcut from now on: start there next session.
Download Resources
Knowledge Check
4 questions — click the best answer for each scenario, then check your answers.
Question 1. According to this lesson, where do video ideas come from?
Question 2. An idea appears in search suggestions AND worked on a small channel AND was requested twice in comments. Its tag — and its role:
Question 3. You found a small channel's successful video: 'Restoring a rusty hand plane, start to finish.' Which move stays on the right side of the line?
Question 4. Why does the lesson insist on capturing ideas BEFORE judging them?
0/4 answered
Key Takeaways
- Ideas are collected, not invented — four public sources: search, small-channel outliers, comments, repeated problems
- Every idea gets an honest evidence tag: P proven · p promising · h hunch — and new channels lean P/p
- Favor evergreen over trend: your videos are a library, and evergreen titles stay checked out
- The line: topics, questions, formats, patterns are shared — scripts, thumbnails, titles, beat-for-beat structure are not
- Capture first, judge later — the page fills when the two jobs are kept separate
Lesson Summary
'What videos do I make?' became a collection problem with a method: four public sources mined in one session, every find captured before judgment, tagged with honest evidence levels, checked against your promise — and the inspiration-vs-copying line drawn once, permanently. You're holding 20+ ideas with receipts, several of them proven. What you don't have yet is a system: a place where these ideas live, get scored, and line up in production order — which is exactly what the next lesson builds. Bring the full page.
BrainTrain Pro Tip
End every future research session by immediately noting your top-3 gut favorites with a star — BEFORE any scoring system touches them. When Lesson 202's scores and your stars agree, make those first: evidence plus enthusiasm is the strongest combination in content, and the star records the enthusiasm while it's hot.
Module 2: Plan the Content
0/4 doneYou'll know it worked when:
A worksheet holding 20+ video ideas, each with an honest evidence tag and phrasing pulled from the wild — most students find 5+ P-grade ideas they'd never have invented from a blank page. Lesson 202 gives this page a home.
Going further:
Note which SOURCE produced your best ideas — for most niches one source over-delivers (comments for tutorial niches, outliers for story niches). That's your personal research shortcut from now on: start there next session.