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Data Analytics / B2B SaaS

DATwise: Shipping a Data Analytics MVP Fast Enough to Win Early Adopters

Data analytics MVP from idea to pilot in 7 weeks

Client: DATwise
DATwise: Shipping a Data Analytics MVP Fast Enough to Win Early Adopters

The Challenge

What DATwise Was Facing

DATwise had a technically sophisticated vision for automated data quality monitoring — but the founders were engineers, not product people, and their first roadmap was 18 months of features before anything would ship. We were brought in to force a reality check: what is the single thing a customer would pay for today, and can we ship it in under 8 weeks?

The Solution

What We Built

We facilitated a product scoping workshop and landed on one testable hypothesis: data teams would pay for automated anomaly alerts on their existing data pipelines without needing to change their infrastructure. We built the alert engine, a webhook connector, and a minimal dashboard. No custom reporting, no ML explanations, no team management — just the core alert loop. It shipped in 7 weeks.

DATwise: Shipping a Data Analytics MVP Fast Enough to Win Early Adopters – solution

Results

Measurable Outcomes

3 design-partner companies signed up before launch and contributed to shaping v2
First paid subscription activated in week 2 post-launch
Feature scope for v2 was entirely driven by paying customer requests, not internal assumptions

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DATwise: Shipping a Data Analytics MVP Fast Enough to Win Early Adopters | SaaS Development Agency