Product StrategyProven Pattern

Start as done-for-you service, then automate the proven process into software

Insight from Romàn Czerny

When to use

When you have a complex problem space and need to deeply understand customer workflows before building. Ideal when you're unsure which parts of the process to automate or how to price the solution.

Don't do this

Building software features based on assumptions about customer needs, then discovering the automated solution doesn't match real-world workflows or misses critical edge cases.

5 Founders Who Did This

1
Sprigby Ryan Glasgow

Built only the SDK while manually handling all survey creation, configuration, targeting, and data analysis - essentially operating as the customer's PM/researcher

Result:Validated the core value proposition before investing in automation; used manual delivery to see what was clicking and focus development on those areas
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2
Tech Lockdownby Ben Bozzay

Started by selling online courses teaching manual content blocking techniques. Then automated those proven processes into a SaaS DNS filtering product. Course customers became first SaaS users.

Result:Smooth transition from courses to SaaS with built-in customer base and deep understanding of user needs
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3
Vantaby Christina Cacioppo

Started as a done-for-you service where Christina manually extracted AWS data and wrote compliance reports overnight. Told customers reports would arrive 'the next day' to mask manual processes. Gradually automated the proven workflow into software.

Result:Service-first approach validated the exact workflow before building automation, resulting in product that matched real customer needs
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4
Moniteby Ivan Maryasin

Started as a done-for-you B2C finance tool for SMEs, discovered the real value was the underlying infrastructure, then automated it into an API platform that other companies embed

Result:28+ platform clients deploy Monite in 4-5 weeks instead of building 1-2 year custom solutions
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5
Rezoraby Yevgeniy Matsay

Delivered AI cold calling as done-for-you service using Vapi, Zapier, and cal.com with custom prompting per customer before building SaaS

Result:Validated demand and learned customer needs through manual delivery, now building Rezora as scalable SaaS platform
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