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.
An integration sandbox lets you validate connections without affecting live operations. Learn when to use one, what it should reproduce, and how to manage differences from production.
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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.
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Compare shared databases, separate schemas, and dedicated databases to choose the data isolation model that fits your SaaS risks, customers, and team.
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Learn when a shared inbox no longer works and how to design a work queue with priorities, owners, and traceability that supports daily operations.
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A spreadsheet can support useful processes for years. This framework helps identify when its flexibility becomes an operational risk.
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Learn to distinguish functional history, audit trails, and operational traceability to record the right events, protect data, and provide useful evidence.
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A practical framework for deciding which data travels in an event, which data is retrieved later, and how to avoid dependencies, stale data, and security risks.
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Learn how to decide whether an exception should remain in operations, become a configurable rule, or evolve into a stable product capability.
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Design accessible internal tools for searching, editing, approving, and resolving issues without blocking critical team tasks.
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Guide to planning, testing, and validating a data migration between systems, with controlled parallel operation and evidence-based rollback.
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Design chat escalation to agents that preserves useful context, protects sensitive data, and reduces repetition, waiting times, and reassignments.
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A guide to designing restoration tests, validating services and data, gathering evidence, and improving operational continuity.
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