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Research

Research is the systematic investigation of a subject through gathering and evaluating information or evidence to develop understanding or answer questions.

How 5 Manning books explain it

Design for Developers

User research is the systematic study of users, their needs, behaviors, and responses to inform product decisions.

How it is used
Grounds website and application decisions in target-user needs before and throughout design, development, and iteration.
How deep it goes
Defines research, compares qualitative, quantitative, attitude, and behavior approaches, and gives procedural card-sorting guidance; defers deeper methods and testing.
Examples
Uses Google Glass, a late-tested client web application, competitor review, interviews, surveys, and open or closed card sorting.
What you can do after
Apply it through interviews, surveys, competitor analysis, card sorting, metrics, and testing to guide iterative product decisions.

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Effective Data Analysis

Research is the systematic investigation of a topic through study or experimentation to obtain new information.

How it is used
Uses research to inform hypotheses, choose investigations, and give stakeholders context for analytics decisions.
How deep it goes
Defines two meanings of research and outlines evidence gathering and method choice; defers detailed statistical testing.
Examples
Uses a shopping-cart A/B test and a wearable-device health study to frame evidence gathering and research risks.
What you can do after
Practice/perform research by synthesizing background evidence, forming a quantified hypothesis, choosing a method, and documenting decisions.

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Architecture Modernization: Socio-technical alignment of software, strategy, and structure

User research is the systematic study of users' behaviors, needs, experiences, and feedback to inform product or service decisions.

How it is used
Informs product, service, policy, and domain decisions during modernization through user-centric discovery.
How deep it goes
Connects research to discovery and feedback-driven evolution, but does not specify individual research methods or procedures.
Examples
Uses government tax-service discovery and the Energy Performance of Buildings Register’s feedback-driven redevelopment.
What you can do after
Apply it through continuous discovery to find better requirements and improve services iteratively.

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Effective Platform Engineering

User research is the systematic investigation of users’ needs, behaviors, experiences, and challenges to inform product decisions.

How it is used
Guides platform priorities by revealing developer workflows, pain points, requirements, and opportunities for improving user experience.
How deep it goes
Details interviews, surveys, observation, response analysis, and feedback, but stops short of prescribing a single research method.
Examples
Uses interviews, surveys, observational studies, survey-analysis scripts, personas, prototypes, and deployment-workflow investigations.
What you can do after
Evaluate platform priorities through user evidence, summarize findings, and translate validated pain points into roadmap features.

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Everyday Data Visualization

The systematic study of users' needs, behaviors, expectations, and experiences to inform design decisions.

How it is used
Uses direct observation and questioning to inform visualization decisions that support independent data exploration.
How deep it goes
Explains mental models and outlines interviews, observation, comparison tasks, and recording, but defers fuller research treatment.
Examples
Uses an interactive dashboard with selectable indicators, generation filters, and familiar-versus-unfamiliar visualization sessions.
What you can do after
Practice user research by questioning, observing, and recording users as they explore visualizations.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.