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Demand Validation - Making It Repeatable
From Anecdotes to Evidence
By this stage, you have Founder Market Fit, Problem Market Fit, and Message Market Fit. You understand the market, you know which persona has the pain and budget, and you can communicate in a way that resonates.
But there is a more critical question to answer: do you have real demand?
This is where many founders misjudge their progress. A few positive conversations, a prospect expressing interest, or someone saying “this would be useful” can feel like validation. These are early signals, not proof of demand.
True demand is not based on isolated feedback. It is based on consistent and measurable behaviour that shows prospects are willing to invest time, attention, and eventually budget into your solution.
Demand Validation is the stage where you confirm that the entire system works together. You can reach your target persona, your message resonates, and prospects respond with genuine interest that moves beyond curiosity into real engagement.
What Real Demand Looks Like
Real demand shows up through consistent, observable signals. Look for patterns like these:
- Prospects begin reaching out to you without prompting. Inbound interest is a much stronger indicator than relying only on outbound efforts
- Prospects can recall your core message and repeat it in their own words without being guided
- Multiple prospects within the same persona consistently validate the same problem and show interest in solving it
- Prospects are willing to invest time exploring your solution, even when it is still early or incomplete
- Prospects introduce you to colleagues or other teams, indicating that they see broader relevance and value
- Prospects engage in buying-oriented behaviour, such as asking about timelines and pricing, rather than staying in exploratory conversations
The Demand Validation Loop
Demand Validation is not a one-time checkpoint. It is a continuous loop of testing, learning, and refining until you see consistent patterns.
1. Reach out with your message
Use outbound channels such as cold email, LinkedIn, referrals, and events to connect with prospects who match your target persona. Your message should clearly state the problem and why your approach is different.
2. Measure response rate
Track how many people respond to your outreach. For cold outreach, a response rate between 5 and 10 percent is a solid baseline. For warm introductions, aim significantly higher, often 30 percent or more. If your response rate drops below 1 percent, it is a clear signal that your message needs improvement.
3. Track conversation quality
Not all responses indicate the same level of interest. A brief or non-committal reply is very different from a request to explore the solution further. Categorise responses based on engagement to understand true interest levels.
4. Ask discovery questions
Use conversations to go deeper. Understand how the prospect views the problem, whether they are actively looking for a solution, if budget exists, and whether they are directly involved in decision-making.
5. Iterate on messaging
Refine your messaging based on what you learn. Pay attention to which phrases resonate, what questions come up repeatedly, and where objections appear. Use these insights to sharpen your positioning and clarity.
6. Repeat and scale
Once your message consistently generates engagement, increase your outreach. At this stage, you should be able to reach larger groups of prospects with similar messaging and achieve predictable response patterns.
Key Metrics for Demand
Track these metrics to measure demand:
When You Don’t Have Demand
If your metrics are weak, treat it as feedback, not failure. It simply means something in the chain needs to be reworked.
1. Revisit Problem Market Fit
You may be targeting the wrong persona or solving a problem that is not urgent enough. Go back and validate whether the pain is real, immediate, and tied to someone with budget and authority.
2. Test different messages
Your messaging may not be resonating. Create three to five distinct versions that highlight different outcomes or angles. Test each version with a meaningful number of prospects before drawing conclusions about the market.
3. Test different channels
The issue may not be the message, but where you are delivering it. If one channel underperforms, experiment with others such as LinkedIn, referrals, or in-person interactions to find where your audience is most responsive.
4. Accept the reality
If you have tested multiple personas, messages, and channels and still see no meaningful demand, it is a clear signal. At that point, it is better to pivot your approach or move on rather than continue investing in something that is not working.
The Notchup Demand Story
When I first started Notchup, my outreach to engineering leaders was not working. Response rates were below 2 percent, and most replies were polite rejections rather than genuine interest.
At that stage, Demand Validation was clearly failing.
Instead of assuming the market did not want the solution, I took it as a signal to test further. I experimented with different messaging approaches and explored different personas to understand where the disconnect was.
The breakthrough came when the messaging shifted. Instead of leading with AI capabilities, the focus moved to outcomes such as time savings and improving hiring quality.
The impact was immediate. Response rates increased to over 8 percent, conversations became more meaningful, and prospects started asking about pricing and timelines.
That was the point where it became clear. This was no longer just interest. This was real demand.
Demand Validation for AI Products
AI products often face a different kind of demand challenge. High curiosity can easily be mistaken for real intent. Many prospects are interested in exploring AI tools out of curiosity or for learning, but that does not always translate into a willingness to buy.
For AI products, you need to look beyond interest and focus on stronger demand signals:
- Does the prospect ask about pricing, timelines, and implementation details rather than only how the AI works
- Do they want to test the product within a real workflow or use case instead of casually experimenting
- Can they clearly explain the specific value they expect to gain, rather than expressing general excitement about AI
- Do they recognise the cold start challenges that come with AI systems and engage with how to solve them
- Are they actively thinking about the data, integrations, and systems required to make the product work effectively
- Do they engage constructively with topics such as compliance and security, showing willingness to explore controlled environments like sandbox pilots instead of using these concerns to block progress
These signals indicate a shift from curiosity to intent, which is what defines real demand for AI-driven products.
What Comes Next
Once you have repeatable demand, you reach a critical milestone in your journey. At this point, you are no longer validating whether people are interested. You are validating whether they are willing to pay.
This leads to the next stage: Price Market Fit.
Here, the focus shifts to understanding whether your market values your solution enough to justify the price you need to charge. It is not only about what your product is worth to you, but what it is worth to your customer in measurable terms.
In Part 5, we will explore how to approach pricing strategically and how to validate that your target market perceives enough value to move from interest to actual purchase.
Key Takeaways
- Real demand is repeatable, not anecdotal. It shows up consistently across multiple prospects, not just in isolated conversations
- Track what matters. Response rates, conversion to meetings, depth of engagement, and how consistently those signals repeat
- Iterate before concluding. Refine your messaging and test different channels before deciding the market is not there
- Demand Validation is the bridge between early exploration and real commitment from your market
- For AI products, distinguish clearly between curiosity-driven interest and genuine buying intent
What does your current demand validation look like? Are you seeing consistent, repeatable signals or just early indicators?
