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.
Set RTO and RPO according to each process’s impact, dependencies, and actual recovery capacity. Learn how to agree on objectives and validate them through testing.
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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.
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Decide what to translate, adapt, or share based on clarity, risk, market differences, and maintenance. Use practical fallback criteria and a review workflow.
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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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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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Shadow mode compares an automated decision with real operations before activation, helping teams identify risks and make evidence-based choices.
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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 shared state model prevents discrepancies between applications, clarifies ownership, and helps detect stalled processes before they affect customers.
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A practical framework for assigning autonomy to automations based on impact, reversibility, uncertainty, context, and the ability to correct errors.
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Learn how to prioritize errors in digital processes using operational criteria to block, alert, or correct them without unnecessarily slowing the business.
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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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