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.
A practical framework for deciding whether to fix an individual incident, eliminate its root cause, or redesign the process based on frequency, impact, and risk.
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Set rules for detecting duplicate customers, deciding which records to merge, and protecting useful data through confidence levels, human review, and traceability.
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Compare roles and contextual rules to decide who can do what in a B2B application. Identify signs of complexity and plan a safe evolution.
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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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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.
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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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An idempotency key lets you retry sensitive operations without repeating their effects. Learn how to define its scope, handle concurrency, and respond to errors.
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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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Compare offset and cursor pagination by stability, navigation, data volume, and cost. Choose the contract your API needs and plan a migration without breaking clients.
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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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