Articles by María Leal
Which Technical Book Should a Product Manager Read First?
Compare The Product Shelf’s technical books by the product questions they cover, from integrations and architecture to data, releases, security and technical debt.…
Product Observability: How PMs Can Understand Production Issues

Follow a production issue from customer reports to technical evidence, assess its impact and define observability requirements for future releases.…
Product Metrics Framework

A collaboration product connects metric definitions, activation, mature retention cohorts and guardrails with the decisions a team needs to make.…
SQL for Product Analytics: 7 Practical Examples for PMs

Seven PostgreSQL examples for activation, funnels, adoption, retention, cohorts, acquisition and paid conversion, with the definitions needed to interpret each result.…
API Product Management: Adoption, Priorities and Lifecycle

Manage an API as a product: define customer journeys, prioritize developer experience, measure adoption and plan compatibility, support and migrations.…
What Product Managers Need to Know About CI/CD & Releases

How code reaches customers through pipelines, environments, deployment and release, including feature flags, recovery strategies and mobile distribution.…
What Product Managers Need to Know About Logs & Observability

A guide to logs, Kibana, metrics, traces and alerts, explaining how production evidence connects an incident to its effect on customers.…
What Product Managers Need to Know About Product Metrics

Definitions and examples of activation, retention, funnels, cohorts and segmentation, with criteria for interpreting changes and investigating the behaviour behind a metric.…
What Product Managers Need to Know About SQL & Data

Tables, filters, aggregations and joins explained through product questions, including the effects of identifiers, missing values, time zones and data quality.…
What Product Managers Need to Know About Software Architecture

How frontend, backend, databases, services and dependencies shape product changes, with examples of caching, reliability, technical debt and delivery scope.…
