Software and SaaS development
Digital products that solve, scale and evolve.
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Guides, analysis and lessons on product, artificial intelligence, growth, communications and cloud.
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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 how to turn business goals into verifiable acceptance criteria, assign responsibility for validating each outcome, and handle changes without unexpected scope growth.
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Choosing between users and accounts changes how you interpret activity, adoption, and friction in B2B SaaS. Learn to define metrics that guide better decisions.
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Agreeing on precision, rounding rules, and a system of record helps prevent discrepancies across ecommerce, payments, invoicing, and accounting. This guide offers practical criteria and tests.
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Evaluate each request by its need, impact, and alternatives to decide whether to add it, swap it for another task, defer it, or decline it.
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Design SaaS invitations with clear states, expiration rules, safe resending, and consistent handling of duplicate emails, existing accounts, and permission changes.
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Design a clear settings hierarchy so each organization inherits what it needs, allows justified exceptions, and can always understand which value is currently active.
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Define where promotions are managed, how discounts combine, and what to validate before publishing to reduce discrepancies between sales channels.
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Compare synthetic data, anonymized data, and controlled copies to choose representative test data, limit information exposure, and define practical safeguards for each environment.
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A useful export starts by defining which data leaves the system, who can request it, and how the file is protected. This guide offers practical design criteria.
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Prioritize testing based on a failure’s impact, likelihood, and detectability. This practical framework helps validate changes without slowing releases or leaving critical risks uncovered.
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A clear deadline policy defines when the clock starts, what pauses it, and what happens when time runs out. Learn how to reduce delays, disputes, and manual work.
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Decide where to validate each piece of data based on user experience, authority, and the cost of errors. A practical framework for combining the interface, server, and asynchronous processes.
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