Insights / decisions before code

Practical thinking about products, MVPs and AI.

Frameworks, checklists and direct answers for founders and executive teams who want better evidence before expensive product development begins.

Mobile applications

From problem to application

Mobile applications

A practical process from business problem and prototype through MVP scope, technology choice and mobile app delivery.

Product cost

Mobile app cost depends on product risk, number of workflows, integrations, reliability, security and ongoing maintenance.

MVP

A mobile MVP should test the largest product risk through one complete flow, not imitate a smaller version of the final system.

Business AI

Business AI

The most common AI implementation failures start with the wrong process, weak ownership and ignored data quality.

Automation

A strong first AI process is frequent, expensive, supported by available examples and safe enough for bounded learning.

Business case

An AI business case compares process cost before and after implementation while accounting for quality, human oversight and maintenance.

Discovery and MVP

Product discovery

Product idea validation gathers evidence about the problem, behavior and willingness to change instead of asking whether people like a concept.

Product decision

A prototype tests flow and understanding cheaply. An MVP tests value through real use.

Product scope

MVP scope follows the hypothesis, complete moment of value and metric, not a stakeholder vote on a feature list.

Next step

In 30 minutes, we can clarify the problem, largest risk and least expensive credible next step.