How I Choose What to Teach Next

People assume I have a content calendar planned months in advance. I don’t. What I have is a system for deciding what to teach next — one that balances what people need, what I know, and what the market wants.

The short answer: I do not plan a content calendar months ahead. I choose what to teach from real signals — the questions people ask me repeatedly, what I wish someone had taught me, and what the market wants. A question asked three times independently is a content piece waiting to happen.

Here’s the exact process.

Input 1: What People Actually Ask Me

The highest-signal input is also the simplest: what do people ask me?

Comments on videos. Messages. Questions after talks. Emails. I keep a running list of every question I get asked more than twice. If three different people ask the same thing independently, that’s a content piece waiting to happen.

Why this works: if three people asked, thirty more are wondering silently. You’re not guessing at demand — you’re responding to proven demand.

I also pay attention to *how* people ask. The exact words they use become my titles. If someone asks “ভাই, বিকাশে পেমেন্ট নিয়ে কীভাবে ফ্রিল্যান্সিং করবো?” — that’s not just a topic, that’s a title, a keyword, and a content angle all in one.

Rule: never ignore a repeated question. It’s the market telling you what to make.

Input 2: What I Wish Someone Told Me

The second input is personal: what do I wish someone had told me 3 years ago?

Some of my best content comes from this. Not from audience requests, but from my own past struggles. The article about why coaching calls are a trap? That’s me talking to my past self. The piece on pricing digital products? Past me needed that desperately.

This input matters because it produces content with *conviction*. When you’ve lived the problem, you write differently. There’s an authenticity that research alone can’t produce.

It also future-proofs your content. Trends change, but the fundamental struggles of beginners don’t. “I wish someone told me X” content stays relevant for years.

Rule: teach what you needed to learn. Your past confusion is someone else’s current confusion.

Input 3: Keyword and Search Data

The third input is data: what are people searching for?

I do keyword research — not obsessively, but regularly. I look at:

Google autocomplete for my niche topics
YouTube search suggestions
What questions appear in Facebook groups
Ubersuggest/keyword tool data for Bangladesh-specific terms

This doesn’t dictate my content, but it *informs* it. If I’m choosing between three topics I want to teach, I’ll pick the one with proven search demand. Same effort, more reach.

Important nuance: I use data to *prioritize*, not to *generate* ideas. Data tells me which of my ideas has the most demand. It doesn’t tell me what to care about. That’s a critical distinction.

Rule: let data rank your ideas, not create them.

Input 4: What's Missing in Bangla

The fourth input is a gap analysis: what exists in English but doesn’t exist in Bangla?

This is my unfair advantage. The English internet has 10,000 articles on every topic. The Bangla internet has maybe 10. When I see a great English resource on something my audience needs, I don’t translate it — I create the Bangla version from scratch, adapted for Bangladeshi reality.

Example: there are hundreds of English guides on email marketing. Almost none address the Bangladeshi context — bKash payments, low email open rates, Facebook-first audiences. That’s a gap I can fill better than anyone translating an American guide.

Rule: find English abundance, create Bangla scarcity-fillers.

Input 5: What I'm Currently Learning

The fifth input is selfish: what am I learning right now?

Teaching what you’re currently learning has a hidden benefit — you’re close to the beginner’s mind. Experts forget what it’s like to not know. But if you learned something last month, you remember exactly what confused you.

This is why my content stays fresh. I’m always learning something new — a tool, a strategy, a framework — and I teach it while the learning is still warm.

The risk: teaching something you just learned can produce shallow content. The safeguard: only teach what you’ve *applied*, not just what you’ve *read about*. Learning + doing = teachable. Learning alone = not yet.

Rule: teach from your learning edge, but only after you’ve applied it.

How I Combine the Inputs

Here’s what the actual decision looks like. I maintain a simple list — a note on my phone — with content ideas. Each idea gets a mental score:

Asked repeatedly? (+3) — proven demand
Past-me needed this? (+2) — conviction and authenticity
Search demand exists? (+2) — distribution potential
Bangla gap? (+2) — competitive advantage
Currently learning it? (+1) — freshness

Anything scoring 5+ is worth making. Anything scoring 7+ goes to the top of the queue.

I don’t overthink it. The system exists to prevent two failure modes: creating content nobody wants (no demand signals) and never creating anything (analysis paralysis).

What I Deliberately Don't Teach

Just as important as what I choose: what I refuse.

Things I haven’t done. I won’t teach dropshipping tactics I’ve never executed. Theory without practice is just entertainment.
Trending topics outside my lane. If crypto pumps, I don’t suddenly become a crypto teacher. Stay in your lane.
Anything requiring hype. If a topic only works with exaggerated claims, it’s not for me.
My competitive secrets. I teach the direction, not the full map. (More on this in my content philosophy.)

Saying no to topics is as strategic as saying yes. Every “no” protects your credibility.

The Meta Lesson

Notice something about this process? It’s the same skill I teach: pay attention to real signals, not noise.

Audience questions are signals. Search data is signals. Your own experience is signals. Trends, hype, and what other creators are doing — that’s noise.

The creators who last are the ones who build a signal-processing system and trust it. The ones who burn out chase every trend and wonder why nothing sticks.

Build your inputs. Score your ideas. Publish consistently. The rest takes care of itself.

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Related reading:

Watch: Behind-the-scenes of my content process on the Superpreneur Bangladesh YouTube channel.

Choosing is only step one. Each chosen piece then feeds everything else — that is the content flywheel in action.