Go-to-market strategy for a Google API that turns plain-language questions into SQL

Engineers at Google have built an API that takes a request written in everyday language and returns an SQL statement for it. As the product manager, you are asked to turn this into a service and take it to market. Explain what you would build around the API, who it would serve first, how you would launch, distribute and price it, and how you would measure success. ```hint Close the trust gap A model that writes SQL is not yet something a company will rely on. Think about what a customer needs around the generated query before pointing it at their own data, and which Google channels reach the right first customers fastest. ``` ### Clarifying Questions - How accurate is the API today, on which SQL dialects and databases, and does it need the schema of the target tables to work? - Does it only return the SQL text, or should the service also run the query and return results? - Is Google's goal direct revenue, wider adoption of Google Cloud data products, or improving Google's own products first? - Should the first customers be external developers and companies, or Google's internal product teams? ### What a Strong Answer Covers - Understanding the capability and its limits (accuracy, dialects, schema needs) before committing to a market. - Segmenting potential customers and choosing a first market with a reason tied to Google's assets. - What it takes to productize: packaging, trust and safety controls for generated queries, pricing and service levels. - A phased go-to-market with distribution channels, competitive positioning and launch gates. - Success metrics that include the quality of the generated SQL, with guardrails and the main risks. ### Follow-up Questions - Customers report that the generated SQL runs without errors but sometimes returns the wrong answer. How do you measure and reduce this, and what do you change in the product? - Would you price per request, per seat, or fold it into existing database pricing? Defend your choice. - How would you decide between keeping this a Google Cloud product and supporting rival databases and clouds?