Key lesson on customer validation: It worked great. There was a lot of technical validation, but this momentum did not convert into revenue.
“We built something people really liked, but they didn’t need it.” – Suchita Kaundin
Discovery and Customer Validation Lessons
Suchita Kaundin concluded that better discovery could have revealed the problem earlier. Important questions she would now ask include:
- What happens if this problem is not solved?
- How do customers solve it today?
- Who owns the budget?
- Is there urgency to solve it this quarter?
Testing enthusiasm alone is not enough; founders must test urgency and willingness to pay.
In the full video, we unpack the realities of shutting down an early-stage AI company: unclear documentation, unpaid pilots, weak product-market fit, and painful pivots. Then we explore how those experiences strengthen the next startup: sharper customer discovery, disciplined validation, better legal and equity foundations, and clearer go-to-market focus. Suchita Kaundin offers practical insights for founders navigating transitions, turning hard-won lessons into strategic advantages for her next AI venture.
Key Takeaways
- We built something people really liked, but they didn’t need it.
- During the discovery phase it is important not just to test enthusiasm but also urgency.
- If they do not pay for a pilot, they probably will not pay later
- Building the product is actually one of the easiest parts… getting people to buy it is the hard part
About Suchita Kaundin
Suchita Kaundin is a Product Manager at Guestrix with deep expertise in embedded systems, hardware–software integration, and platform technologies. She has worked across startups and multinational companies, building and scaling products in IoT, data storage, firmware, and software platforms. With a strong foundation in engineering, she transitioned into product management and excels at the intersection of technology, business, and customer needs. Suchita specializes in embedded software, ensuring seamless hardware–software interactions. She enjoys solving complex technical challenges, collaborating closely with firmware and hardware teams, and defining scalable, high-performance platforms that maximize efficiency and long-term product value.