Software and SaaS development
Digital products that solve, scale and evolve.
Insights
Guides, analysis and lessons on product, artificial intelligence, growth, communications and cloud.
Editorial themes
Digital products that solve, scale and evolve.
AI systems for real-world processes.
Demand, catalogue, partners and conversion.
Every conversation in the right channel.
Available, observable and ready services.
Learn to distinguish instants, calendar dates, and local times so you can store, display, and communicate dates consistently across applications and connected systems.
↗
Learn how to assess whether you can replace a SaaS solution without losing data or disrupting workflows by reviewing exports, dependencies, exit tests, and responsibilities.
↗
A lightweight decision log preserves the context behind product choices, clarifies the reasoning that supports them, and makes it easier to revisit them when circumstances change.
↗
An idempotency key lets you retry sensitive operations without repeating their effects. Learn how to define its scope, handle concurrency, and respond to errors.
↗
Learn how to choose product analytics events and properties based on real decisions, reduce noise, and verify that your data is reliable before using it to guide product work.
↗
Treat customer offboarding as a verifiable workflow. Revoke access, handle data and integrations, and confirm that no active dependencies remain.
↗
Learn when a shared inbox no longer works and how to design a work queue with priorities, owners, and traceability that supports daily operations.
↗
Shadow mode compares an automated decision with real operations before activation, helping teams identify risks and make evidence-based choices.
↗
Plan digital maintenance using impact, communication, rollback, and validation criteria to reduce technical and operational risks.
↗
A spreadsheet can support useful processes for years. This framework helps identify when its flexibility becomes an operational risk.
↗
A practical framework for distinguishing a product gap from a process, data, permissions, user experience, or adoption issue before prioritizing development.
↗
Learn to distinguish functional history, audit trails, and operational traceability to record the right events, protect data, and provide useful evidence.
↗