Skip to main content

run-a-usability-test

Plan and run task-based usability sessions, observe participant behavior without coaching, and turn evidence into prioritized design findings. Use when a prototype or product journey needs validation, a team disagrees about ease of use, or analytics show friction but not why it happens.

来源信息

仓库
protosphinx/sphinxstack
最近来源活动
2026年7月29日 13:55
检测到的 SKILL.md 语言
英语
星标
3
Forks
0

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

文件资源管理器
2 个文件

正在显示 SKILL.md

SKILL.md
来源说明 · 只读预览
name
run-a-usability-test
category
design
description
Plan and run task-based usability sessions, observe participant behavior without coaching, and turn evidence into prioritized design findings. Use when a prototype or product journey needs validation, a team disagrees about ease of use, or analytics show friction but not why it happens.
# run-a-usability-test Watch representative people attempt real tasks. Separate what participants did and said from the team's interpretation, and prioritize barriers by effect on the intended outcome. ## Inputs - Name the research question, product stage, target participants, task owner, and decision deadline. - Define recruitment, incentive, consent, recording, accessibility, privacy, and retention. - Prepare a stable prototype or environment plus a reset path. ## Procedure 1. Turn product questions into observable learning goals and decisions the study can influence. 2. Define participant criteria from actual users or a justified proxy. Record important groups the sample will not represent. 3. Write realistic task scenarios that give motivation without revealing the steps or target labels. 4. Pilot the script, environment, recording, timing, reset, and note template. 5. Obtain informed consent and explain that the product, not the participant, is being tested. 6. Ask participants to attempt each task without coaching. Use neutral prompts such as "What are you thinking?" 7. Record actions, quotes, completion, errors, assistance, recovery, confidence, and time only when meaningful. 8. Debrief after each session and distinguish observations, interpretation, and hypotheses. 9. Group evidence across participants, preserve counterexamples, and avoid percentages from tiny samples. 10. Rank findings by task impact, frequency in this sample, confidence, and repair cost. 11. Re-test the highest-risk repaired path or document why another method is required. ## Boundaries Do not secretly record, recruit vulnerable participants without safeguards, or use production accounts that can cause real harm. Never blame participants or treat a convenience sample as representative of all users. ## Done - A study plan records learning goals, participant criteria, tasks, consent, data handling, and decisions - Session notes separate observed behavior, direct quotes, assistance, and interpretation - A findings report includes evidence, counterexamples, task impact, confidence, and repair priority - A re-test or explicit follow-up plan verifies the most consequential change Then use design-a-user-flow to revise the journey and design-critique for broader alternatives.
在 GitHub 查看