1. Construct problem-solution hypothesis

🎥 Video lesson — video not yet migrated (source Skool video id: 16e63d6729964aeaa8c5efb145de26fd).

Today’s main action item is to select three niches and build three problem–solution hypotheses.

This task will take longer than picking a name or registering a domain, but don’t overthink it. You should be able to finish it in one day (about four focused hours). Remember, we’re not aiming for perfection—we’re aiming for hypotheses that we’ll test in the real world.

Why Do We Niche Down?

When you’re doing outbound lead generation, you need to speak directly to a prospect’s specific problem. General pitches don’t work.

  • Personalization is only possible if you focus. If you understand one niche deeply, you can call out the problems that keep those businesses up at night. That’s what gets replies.
  • You get better with repetition. Every sales call, every outreach email in the same niche makes you sharper. Within a few conversations, you’ll start predicting what prospects will say before they say it.
  • You can templatize solutions. If every project is different, you’ll always be limited by your time. But if you repeatedly solve the same problem for the same niche, you can build a repeatable solution that’s 80–90% standardized and only 10–20% customized. That’s how you scale.

What Makes a Good Niche?

Think of a strong niche as the overlap between mid/high-ticket and problem-aware businesses.

Mid/High-Ticket Businesses

  • A single new customer for them can justify your entire fee for months (sometimes years).
  • They often have larger teams → automation saves serious labor costs.
  • These businesses make more per client, so budgets are easier to allocate.
  • More revenue = more referral potential and more professional operations.

They Suffer From the Problems Automation Solves

  • Capital Problems (Sales & Marketing)

    • Struggle with lead generation.
    • Sales admin eats time (proposals, data entry, follow-ups).
    • Invoicing and reporting are inefficient.
    • Weak inbound flows (chatbots, reputation, social media).

  • Labor Problems (Fulfillment)

    • No/poor project management systems.
    • Repetitive tasks drain hours.
    • Weak or non-existent SOPs.
    • Fulfillment work that AI could automate but currently isn’t.

Digital vs. Offline Businesses

While digital-first industries aren’t the only option, they’re usually the easiest to sell into:

  • Digital-first businesses:

    • Easy to source leads (everyone is online).
    • Already buying and using software in daily operations.
    • More open to investing in automation and innovation.
    • Budgets already allocated to tools.

  • Offline businesses:

    • Sometimes have real pain points worth solving.
    • Often less familiar with automation → requires more education/sales effort.
    • Smaller budgets compared to digital-first.

Rule of thumb: When constructing your three hypotheses today, aim for at least two digital-first niches. If you see a really strong, obvious pain point in an offline business, you can absolutely test it, but expect the sales cycle to be longer.

How to Build a Problem–Solution Hypothesis

At this stage, we’re not validating with data. We’re creating a hypothesis that can later be tested with real outreach.

The process looks like this:

  1. Pick a niche that seems promising.
  2. Identify one painful problem they face.
  3. Brainstorm how automation could solve that problem.
  4. Write it out as a solution statement.

Formula to follow:

  • Problem–Solution Hypothesis: I solve [pain point] for [niche] using [automation idea].

I solve missed follow-ups for recruitment firms by automating candidate CRM workflows.

  • Solution Statement: I build [type of system] for [niche].

I build automated candidate CRM systems for recruitment firms.

Here’s the big picture.

The cycle works like this: you start with a problem–solution hypothesis, then interact with the market (in our case, mostly through cold emails). If people book calls or become clients, that’s validation. If not, you loop back and create a new hypothesis. Once validated, you can templatize and scale the solution to serve more clients faster.

How to Research Niches

If you don’t already have a background in a specific field, use these methods to research:

  1. Google + ChatGPT

    • Ask: “What are the most common business processes in [niche]?”
    • Ask: “What bottlenecks or inefficiencies are typical in [niche]?”

  2. YouTube

    • Look for channels aimed at your target niche.
    • Example: Search “dentist practice management” → see what challenges dentists talk about.

  3. Competitor websites

    • Explore SaaS tools serving that niche.
    • Study their case studies, features, and marketing language → these highlight real problems prospects are willing to pay to solve.

  4. Talk to people

    • If you know anyone in a niche, ask about their workflows.
    • Don’t lead them—ask open-ended questions about what slows them down or frustrates them.

Your Task Today

  1. Select 3 niches.

  2. For each niche, write:

    • The pain point.
    • A possible automation solution.
    • A solution statement using the formula.

  3. Use the provided template sheet (Niche | Pain Point | Solution Brainstorm | Solution Statement).

Allocate 4 hours max. Don’t overthink or “research paralysis.” You’ll validate these hypotheses later by running cold email campaigns and seeing if anyone is willing to pay.

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