The full combined module text presenting all sections in sequence, beginning with foundations of usability test data, which learners can read straight through as the primary reading for the unit.
Topics
This module covers 7 topics. Open a topic to see its subtopics.
Module Content
24 items.
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A reading that defines the types of data gathered in usability testing, distinguishing quantitative measures (task time, completion rates, error counts) from qualitative observations and explaining what each can and cannot reveal on its own.
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A reading on turning raw session recordings, notes, and observations into structured, comparable records, covering note-taking systems, data organization schemes, and practices that prevent findings from becoming disconnected observations.
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A reading on diagnosing user errors — classifying error types, tracing them to underlying design causes, and moving from 'what the participant did wrong' to actionable interface conclusions.
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A reading on ranking usability problems for repair using criteria such as severity, frequency, and cost of fixing, so learners can decide what to address first under real project constraints of time, budget, and engineering capacity.
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A reading explaining the iterative design cycle of hypothesis, change, test, and evaluate, and why repeated rounds of refinement outperform attempts to perfect a design in a single pass.
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A reading on translating usability findings into concrete prototype revisions, covering how to make deliberate, traceable design changes and prepare a measurably improved version for the next round of testing.
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A reading on writing up and presenting redesign outcomes — what changed and why — including report structures and communication strategies that drive stakeholder action and preserve organizational memory.
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Covers the types of data generated by usability testing — including quantitative and qualitative categories, how each is measured, and what each can and cannot reveal — giving learners a foundation for interpreting test results accurately.
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Explains how to transform raw observations, recordings, and notes from usability sessions into structured, actionable insights, guiding learners and instructors through systematic data collection and organization methods.
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Teaches learners how to move beyond surface-level error observations to diagnose what user mistakes reveal about underlying interface problems, covering classification, interpretation, and the analytical process of error analysis.
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Addresses how to evaluate and rank usability problems when resources are limited, helping learners apply frameworks for weighing severity, frequency, and impact to decide which issues to fix first in a realistic project context.
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Introduces the iterative redesign process — covering its core principles of hypothesis, change, testing, and evaluation in repeated cycles — and explains why multiple design passes based on real user feedback outperform single-pass design attempts.
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Guides learners through translating usability test findings into deliberate, concrete prototype changes, covering how to implement redesign decisions in a way that produces a measurably improved next version of the design.
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Explains how to document the outcomes of a usability-driven redesign and communicate changes and rationale to stakeholders, emphasizing the role of clear reporting in building organizational memory and demonstrating evidence-based design value.
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Explains how to document the outcomes of a usability-driven redesign and communicate changes and rationale to stakeholders, emphasizing the role of clear reporting in building organizational memory and demonstrating evidence-based design value.
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A reading that distinguishes quantitative usability measures (task completion rates, time on task, error counts, satisfaction ratings) from qualitative observational evidence such as participant comments and hesitations, giving learners the vocabulary and mental model needed to interpret test results before analysis begins.
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A reading on capturing and structuring raw session material — observation notes, recordings, success/failure records, timing data, and quotes — into consistent formats so patterns can be compared across participants; learners use it as a practical guide for setting up their own data logs.
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A reading that teaches learners to classify observed user mistakes (wrong clicks, backtracking, format errors, abandonment) into error types and diagnose their underlying interface causes rather than simply reporting that a user was confused.
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A reading on converting a raw list of usability findings into a defensible, ordered fix list by weighing severity, frequency, and cost of repair; instructors can use it to frame exercises in triaging issues under realistic time and budget limits.
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A reading presenting iterative redesign as the core cycle of user-centered design — treating each design version as a testable hypothesis to build, test, revise, and retest — with guidance on making each cycle more focused than the last.
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A reading covering the practical mechanics of revising a prototype after testing, including choosing the appropriate fidelity for each change, translating an observed problem into a specific design fix, and preparing the revision for another round of testing.
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A reading on writing usability test reports and redesign documentation that link claims to evidence and explain what was found, what was changed, and why, so that teammates, stakeholders, and future designers can act on the work.
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A consolidated single-page compilation of all module topics — from usability data foundations and data organization through error analysis, prioritization, iterative redesign principles, prototype revision, and documentation — useful for review or as a printable reference for the whole module.