UDT Insights
Practical perspectives on technology, engineering, and delivery.
Product Discovery
A credible success measure needs a definition and an evidence source before it needs an ambitious target. Distinguish baselines, hypotheses, and observed results so a product proposal does not manufacture its own business case.
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Product Discovery
A prototype should answer a risky question, not just impress a stakeholder. Select realistic tasks, observe users without coaching, and distinguish interface evidence from the technical proof required before implementation.
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Product Discovery
A requirement can look authoritative simply because it appears in a polished document. Separate evidence, inference, and policy decisions so teams know which assumptions need testing before they become expensive commitments.
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Product Discovery
A discovery workshop earns its time when it resolves a specific decision or exposes why that decision is premature. Prepare evidence, decision rights, and alternatives instead of starting with an unrestricted feature brainstorm.
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Product Discovery
Acceptance criteria should let business and delivery teams recognize the same result. Use concrete starting conditions, actions, and observable outcomes to expose ambiguous rules before they turn into disputed acceptance decisions.
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Product Discovery
A spreadsheet does not need replacement simply because it is important. Evaluate editing rights, rule ownership, reconciliation, and recovery to decide whether stronger controls or a dedicated application are justified.
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Product Discovery
Software cannot settle an unresolved question about who owns a business process. Identify decision rights across departments, exceptions, and ongoing operations before comparing products or delegating requirements to a vendor.
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Product Discovery
An MVP should reduce the breadth of an experiment, not remove protections from a real operating workflow. Separate optional convenience from access, data integrity, and recovery requirements before cutting the first release.
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Product Discovery
A smooth workflow can hide the decisions that make a service expensive to operate. Map missing data, conflicting updates, cancellations, and recovery ownership before approving the normal path for implementation.
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