{"slug":"owl-listener-survey-design","name":"survey-design","description":"Design unbiased survey instruments — question wording, scales, and sampling — to measure attitudes at scale. Use when you need quantitative breadth. For behavioural experiments, use `a-b-test-design` (prototyping-testing).","long_description":"---\nname: survey-design\ndescription: Design unbiased survey instruments — question wording, scales, and sampling — to measure attitudes at scale. Use when you need quantitative breadth. For behavioural experiments, use `a-b-test-design` (prototyping-testing).\n---\n# Survey Design\nYou are an expert in designing surveys that produce reliable, actionable data — not noise.\n## What You Do\nYou design surveys with well-formed questions, appropriate scales, and sound methodology so the data you collect can be trusted and used to make decisions.\n## When to Use Surveys\nSurveys are quantitative research: they measure prevalence, frequency, and attitude at scale. Use them when:\n- You need to know how many users share a need, problem, or opinion (not just whether some do)\n- You need to validate or quantify findings from qualitative research (interviews, usability tests)\n- You need to measure change over time (satisfaction scores, NPS trends)\n- You need a representative sample across a population segment\nDo not use surveys to discover problems you don't yet know exist — that's qualitative research's job. Surveys confirm and quantify; interviews explore and reveal.\n## Survey Structure\n### Introduction\n- State the purpose: \"We're improving [X] and want to hear your experience.\"\n- State the time required: \"This takes about 3 minutes.\"\n- State anonymity/confidentiality if applicable\n- No leading language — don't pre-frame what the \"right\" answers are\n### Question Order\n1. Screen and demographic questions (if needed) — short, at the start\n2. Behavioral questions (what users do) — before attitudinal questions\n3. Attitudinal/satisfaction questions — after behavioral context is established\n4. Open-ended questions — at the end; they require more effort and shouldn't fatigue respondents before the core questions\n### Closing\n- Thank participants\n- Provide a path to learn more or be contacted for follow-up (optional)\n## Question Types\n| Type | Use for | Caution |\n|---|---|---|\n| Single-choice (radio) | Mutually exclusive options | Ensure options are exhaustive; include \"Other\" when needed |\n| Multi-select (checkbox) | Multiple applicable answers | Don't use when you need to rank or when options are mutually exclusive |\n| Likert scale | Attitudes, agreement, satisfaction | Use consistent scale direction (1=low, 5=high); always use labelled endpoints |\n| Rating scale (1–10, NPS) | Single-dimension measurement | Specify what each end means |\n| Ranking | Relative importance between items | Limit to 5–7 items; ranking is cognitively taxing |\n| Open text | Explanation, unexpected answers | Use sparingly; qualitative responses are expensive to analyze |\n## Question Writing\n### Avoid these patterns:\n- **Leading questions**: \"How much do you enjoy using our product?\" → \"How would you describe your experience using our product?\"\n- **Double-barreled questions**: \"How easy and enjoyable is checkout?\" → Split into two questions\n- **Loaded language**: \"How satisfied are you with our fast shipping?\" → Remove \"fast\"\n- **Recall overload**: \"In the past 12 months, how many times…\" → Shorter recall periods are more accurate\n- **Jargon**: Use the same terms users use, not internal product names\n### Do these instead:\n- One question per question\n- Specific, behaviorally grounded language\n- Mutually exclusive and collectively exhaustive response options\n- Neutral phrasing that doesn't suggest a preferred answer\n## Scales\n### Likert Scales\n- 5-point and 7-point are both defensible; 5-point is easier for respondents\n- Always include a midpoint — don't force binary responses unless the question is genuinely binary\n- Always label endpoints: \"1 = Strongly disagree, 5 = Strongly agree\"\n- Be consistent with scale direction across the entire survey\n### Net Promoter Score (NPS)\n- 0–10 scale; \"How likely are you to recommend [product] to a friend or colleague?\"\n- Promoters: 9–10; Passives: 7–8; Detractors: 0–6; NPS = %Promoters − %Detractors\n- NPS is a single, comparable metric — don't use it as a complete satisfaction measure\n### System Usability Scale (SUS)\n- Validated 10-question scale for perceived usability\n- Score 0–100 (68 is the average; above 80 is considered good)\n- Use verbatim — don't modify the questions\n## Sampling\n- **Sample size**: for a ±5% margin of error at 95% confidence in a large population, you need ~385 responses\n- **Representativeness**: sample should match the demographic profile of the population you're studying\n- **Response bias**: people who respond to surveys differ from those who don't — acknowledge this limitation\n- **Survey fatigue**: keep surveys short (under 5 minutes); response quality drops significantly beyond 10–15 questions\n## Analyzing Results\n- Report descriptive statistics: mean, median, distribution — not just \"most people said X\"\n- For Likert data: show the full distribution, not just the average\n- Open text: code themes; report top themes with example quotes\n- Cross-tabulate by segment when segments differ meaningfully (new vs returning users, mobile vs desktop)\n- Report response rate and sample size alongside every finding\n## Best Practices\n- Pilot test with 3–5 people before sending — cognitive pretesting reveals confusing questions\n- Keep surveys short; every question you add reduces completion rate and data quality\n- Define your analysis plan before writing questions — \"what decision will this answer?\" for every question\n- Pair with qualitative research: surveys tell you what and how many; interviews tell you why\n","tagline":"Design unbiased survey instruments — question wording, scales, and sampling — to measure attitudes at scale. Use when you need quantitative breadth. For behavioural experiments, use `a-b-test-design` (prototyping-testing).","category":"research","tags":["agent-skill"],"author":"Owl-Listener","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github fast track","sourceDetail":"Owl-Listener/designer-skills","creatorName":"Owl-Listener","creatorUrl":"https://github.com/Owl-Listener","sourceUrl":"https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/survey-design","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/owl-listener-survey-design#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. 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require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use survey-design in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 86/100 Production candidate","Audit: 88/100 Needs review","Safety: 76/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"owl-listener-survey-design (survey-design)","install_command":"npx skills add Owl-Listener/designer-skills --skill survey-design","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"owl-listener-survey-design","task":"Use survey-design in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/owl-listener-survey-design","api":"https://www.openagentskill.com/api/agent/skills/owl-listener-survey-design","audit":"https://www.openagentskill.com/skills/owl-listener-survey-design/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=owl-listener-survey-design&task=Use%20survey-design%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20survey-design%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20survey-design%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/owl-listener-survey-design/install","manifest":"https://www.openagentskill.com/api/registry/manifest/owl-listener-survey-design"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"rag-knowledge","title":"RAG and knowledge"},{"slug":"browser-automation","title":"Browser automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add Owl-Listener/designer-skills --skill survey-design","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":2461,"starsLabel":"2.5K","forks":357,"license":"MIT","qualityScore":81,"trustScore":86,"auditScore":88},"maintenance":{"status":"fresh","label":"5d since push","daysSincePush":5,"lastPushedAt":"2026-08-31T14:10:53+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Needs review"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":88,"risk_level":"needs_review","risk_label":"Needs review","quality_score":81,"trust_score":86,"maintenance_score":100,"security_score":89,"install_score":92,"warnings":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"quality_signals":{"model":"v2","star_score":23.74,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"testing-qa","title":"Testing and QA","url":"https://www.openagentskill.com/use-cases/testing-qa"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"}],"install":"npx skills add Owl-Listener/designer-skills --skill survey-design","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add owl-listener-survey-design","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"survey-design\" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/survey-design. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Design unbiased survey instruments — question wording, scales, and sampling — to measure attitudes at scale. Use when you need quantitative breadth. For behavioural experiments, use `a-b-test-design` (prototyping-testing). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"owl-listener-survey-design\",\"task\":\"Install survey-design\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"survey-design\" as a Claude Code skill from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/survey-design. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Design unbiased survey instruments — question wording, scales, and sampling — to measure attitudes at scale. Use when you need quantitative breadth. For behavioural experiments, use `a-b-test-design` (prototyping-testing). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"owl-listener-survey-design\",\"task\":\"Install survey-design\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"survey-design\" from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/survey-design into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Design unbiased survey instruments — question wording, scales, and sampling — to measure attitudes at scale. Use when you need quantitative breadth. For behavioural experiments, use `a-b-test-design` (prototyping-testing). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"owl-listener-survey-design\",\"task\":\"Install survey-design\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/survey-design","github_repo":"Owl-Listener/designer-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/owl-listener-survey-design","repository":"https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/survey-design","api":"/api/agent/skills/owl-listener-survey-design","install_api":"/api/skills/owl-listener-survey-design/install"},"meta":{"created_at":"2026-09-02T02:12:44.352222+00:00","updated_at":"2026-09-02T02:12:44.516053+00:00","agent_friendly":true}}