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plan-tool-page

Designs a free-tool or calculator page: tool concept, keyword target, user flow, and SEO rationale. Use to plan a utility page for link acquisition, lead capture, or brand authority.

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seohow/seo
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2 de junio de 2026 a las 11:22
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plan-tool-page
description
Designs a free-tool or calculator page: tool concept, keyword target, user flow, and SEO rationale. Use to plan a utility page for link acquisition, lead capture, or brand authority.
# Plan Tool Page This skill evaluates a tool concept against three dimensions (search demand, link-earning potential, conversion potential) and produces the design brief for the tool — the spec engineering and content build against. The skill is opinionated about a few things: tools work best when tied to a topic cluster; tools need substantial surrounding content (not just JS on the page); tools should be open access (not email-gated) unless there's a strong reason; tools take 4-12 weeks to build properly and the timeline shouldn't be discounted. ## When to use this skill - The user has a tool concept and wants to evaluate whether to build it. - The user is comparing 2-3 candidate tools and needs a recommendation. - The user has decided to build and needs the design brief for engineering. - The user wants to add an interactive layer to an existing topic cluster. - The user is briefing a contractor / agency on a tool build. ## When NOT to use this skill - The user wants to design a pillar page — use `design-pillar-page`. - The user wants to brief a blog post — use `generate-content-brief`. - The user wants to architect a topic cluster — use `design-topic-cluster`. - The user wants the actual code / implementation — that's engineering's job; this produces the spec. - The user wants to build a programmatic SEO template — use `plan-programmatic-seo` / `design-programmatic-template`. ## Inputs required 1. **Business context and SEO foundation** — read `businesses/<slug>/business_context.md` and, for SEO-specific work, `businesses/<slug>/seo_foundation.md`. Resolve `<slug>` by listing `businesses/`: if exactly one folder exists, use it; if multiple, ask which business; if none, recommend running `business-context` first. If SEO foundation is missing, recommend running `seo-foundation` before producing output. Critical fields: products/services, customer, and brand voice from `business_context.md`, plus SEO goals from `seo_foundation.md`. Customer's "what do they want to figure out" is the engine of tool ideation. 2. **Cluster map** — read `businesses/<slug>/clusters/cluster-map.md`. Tool should anchor to a cluster. 3. **Tool concept(s)** — required. Either one tool (evaluate + brief) or 2-3 candidate tools (evaluate + recommend one). 4. **Engineering capacity / budget** — optional but valuable. If the team has 4 weeks of engineering, propose only tools that fit the timeline. If unknown, ask. 5. **Existing tools on the site** — optional. Tool count > 5 means the brand has tooling expertise; tool count = 0 means this is a "first tool" decision (higher stakes). If tool concept is missing, ask. The brief is anchored to a specific tool. ## Process 1. **Evaluate the tool against three dimensions.** For each candidate: - **Search demand.** What's the volume on the most natural keyword pattern (`[topic] calculator`, `[topic] quiz`, `[topic] finder`, etc.)? Anything below 200/mo is risky as the primary justification. - **Link-earning potential.** Would publishers / journalists / communities cite this? Calculators with verifiable outputs (mortgage, ROI) earn links well. Quizzes that produce share-able results (BuzzFeed-style) earn social but fewer authority links. Finders earn moderate links. Tools with no novel output (yet-another summary tool) earn poorly. - **Conversion potential.** Does the output naturally lead to a Field & Sun product? Quizzes that recommend a specific product convert at 5-15%; calculators that produce a number with no transactional bridge convert at <1%. The conversion path is part of the design. Score each candidate against each dimension (high / medium / low). Recommend the highest-balanced score. 2. **Pick the tool archetype.** Calculator (numerical), quiz (sequence → recommendation), finder (filter / search), generator (input → generated output), comparison (side-by-side), checker (URL / handle / domain → status). Each archetype has structural conventions. 3. **Define positioning.** What does the tool do, in one sentence? Who is it for? What does it produce? E.g. "A 5-question quiz that matches sun-conscious skincare buyers to the right SPF and routine, dermatologist-reviewed." 4. **Design the input flow.** - **Calculator:** which inputs (numerical fields, dropdowns), with what defaults, what units. Validation rules. - **Quiz:** how many questions (5-7 is the sweet spot; <4 feels thin, >9 has high drop-off). Each question, each answer set. - **Finder:** filter criteria (which dimensions), default state, results-list shape. - **Generator:** input shape, output shape, copy-able / share-able result. 5. **Design the output logic.** What does the tool produce? For a quiz: a primary recommendation + 1-2 alternatives + reasoning. For a calculator: the number + interpretation + suggested action. For a finder: a ranked list of matches. 6. **Plan the URL.** Typical: `/tools/[tool-name]` or `/quiz/[quiz-name]`. Pick a convention and apply consistently. 7. **Plan the surrounding content.** Tools need on-page content beyond the tool itself: - Intro section (200-400 words): what the tool does, who it's for, why it's accurate. - Methodology section (300-500 words): how the tool works (briefly). Builds trust + indexable content. - FAQ section (400-600 words): 5-8 question-form H3s. - Related blog content (links to cluster pillar + sibling spokes). - Author / methodology credit (E-E-A-T signal — who built / reviewed this). 8. **Plan tech requirements.** Mobile-first. Accessibility (keyboard navigation, screen-reader labels, sufficient contrast). Page speed (tool shouldn't slow the page above LCP / INP thresholds). Server-side rendering or progressive enhancement for SEO indexing. Analytics events on each step. 9. **Plan schema.** Article + WebApplication (`applicationCategory`: "UtilitiesApplication" or similar) + FAQPage if FAQs included. 10. **Plan link-acquisition.** Tools earn the most links when actively pitched. Identify 5-10 publications likely to cite, draft pitch angle, plan PR push around launch. Without active promotion, tools take 12-18 months to earn the link profile they could earn in 4-6. 11. **Estimate build cost.** Quizzes: 4-8 weeks. Calculators: 2-6 weeks. Finders: 6-12 weeks. Generators: 4-10 weeks. Be honest; don't lowball. 12. **Define acceptance criteria.** What "done" looks like, observably. 13. **Write the brief.** Output is a structured Markdown doc engineering + content can work from. ## Output format ```markdown # Tool Page Brief — [Tool name] **URL (proposed):** /tools/[slug] or /quiz/[slug] **Archetype:** [calculator / quiz / finder / generator / comparison / checker] **Cluster:** [Cluster ID + name] **Pillar:** [pillar URL if cluster has one] **Brief date:** [date] ## Evaluation ### Tools considered | Tool | Search demand | Link potential | Conversion potential | Score | |------|---------------|----------------|----------------------|-------| | Skin-type finder quiz | High (3,200/mo) | High | High | ✅ recommended | | SPF coverage calculator | Medium (250/mo) | Medium | Low | ❌ defer | | Routine builder | Medium | Low | Very high | 🟡 candidate for v2 | ### Recommendation [Recommended tool + reasoning, 2-3 sentences] ## Positioning 1 sentence: what does the tool do, who is it for, what does it produce? For Field & Sun: "A 5-question quiz that matches sun-conscious skincare buyers to the right SPF and routine, dermatologist-reviewed." ## Tool design ### Input flow [For a quiz:] 1. **Question 1**: [text] - Answer A: [text] → tag with attribute X - Answer B: [text] → tag with attribute Y - Answer C: [text] → tag with attribute Z 2. **Question 2**: [text] - ... ... (5-7 questions total) [For a calculator:] - **Input 1**: [field name, type, units, default, validation] - **Input 2**: [...] - ... [For a finder:] - **Filter criteria**: [list of filter dimensions, with defaults] ### Output logic [For a quiz:] Score the answers; map to one of [n] result archetypes. - **Result A** ([archetype]): primary recommendation = [Field & Sun product]; alternatives = [products]; reasoning = [paragraph]. - **Result B** ([archetype]): primary recommendation = [Field & Sun product]; alternatives = [products]; reasoning = [paragraph]. - ... [For a calculator:] Formula: [equation] Output: [number] [units] Interpretation: [text — how to read the number] Suggested action: [link to relevant product / pillar] ### Result page - Primary result (above fold). - Reasoning (1-2 paragraphs). - Product recommendations with thumbnails + add-to-cart. - Share / save result CTA. - "Want to learn more?" → link to cluster pillar. ## Surrounding content ### Intro (200-400 words) - What the tool does. - Who it's for. - Why it's accurate (methodology preview). - CTA to start. ### Methodology (300-500 words) - How the tool works (high-level). - Source of inputs (clinical research / customer data / dermatologist consult). - Limitations / what it doesn't cover. ### FAQ (400-600 words, 5-8 Q&As) - "Is the [tool name] accurate?" - "How is the recommendation calculated?" - "What if I'm between two [results]?" - "Should I see a dermatologist?" - "Can I retake the quiz?" - ... ### Related content - Link to cluster pillar. - Link to 2-3 sibling spokes. - Link to product collection page. ### Author / methodology credit - Built by: [team] - Reviewed by: [dermatologist / expert + credentials] - Last updated: [date] ## Tech requirements ### Functional - Mobile-first (60-80% of traffic is mobile). - Accessibility: keyboard navigation, screen-reader labels, WCAG 2.1 AA contrast. - Page speed: tool must not push LCP > 2.5s or INP > 200ms. - Server-side rendering or progressive enhancement (tool content must be indexable, not pure JS). ### Analytics - Step-level events (question 1 viewed, question 1 answered, ..., result viewed, product clicked). - Drop-off tracking per step. - Result-archetype distribution. - Conversion attribution (quiz → PDP → ATC → purchase). ### Storage - Anonymous result-saving (link share-able). - No PII collected unless explicit (no email gate by default — see "open access" decision). ## URL pattern - This tool: `/quiz/skin-type-finder` - Future tools: `/quiz/[name]` or `/tools/[name]` per archetype. ## Schema strategy - **Article**: required. datePublished, dateModified, author (with credentials). - **WebApplication**: applicationCategory: "UtilitiesApplication" / "LifestyleApplication" as appropriate. - **FAQPage**: required (FAQ section is included). - **BreadcrumbList**: Home → Tools → [Tool]. - **Reference**: see [generate-schema-markup](../../technical/generate-schema-markup/SKILL.md) when implementing. ## Link-acquisition plan ### Publications likely to cite 1. [Publication 1] — typical link source for skincare tools; pitch angle: "first three-skin-tone-tested quiz." 2. [Publication 2] — ... 3. ... ### Outreach plan - Pre-launch: 5-10 targeted pitches to publications (2-3 weeks before launch). - Launch week: PR push, social distribution, newsletter mention. - Post-launch (weeks 2-8): follow-up with non-responders, monitor for organic citations. ### Internal-link strategy - Cluster pillar links to tool prominently. - Each cluster spoke links to tool in body where contextually relevant. - Homepage / nav placement (depending on traffic priority). ## Build cost estimate - Engineering: [n] weeks at [n] FTE. - Content: [n] weeks (intro, methodology, FAQ, result-page copy). - Design: [n] weeks (mobile + desktop wireframes, result-page UX). - Photography / illustration: [n] weeks. - QA / accessibility audit: [n] weeks. - Total calendar time: [n] weeks (assume some parallel work). ## Acceptance criteria - [ ] Tool produces correct output for all defined input combinations. - [ ] Tool is mobile-first and accessible (keyboard + screen reader). - [ ] Tool's surrounding content is at least [n] words and includes intro, methodology, FAQ. - [ ] Schema (Article + WebApplication + FAQPage + BreadcrumbList) deployed and validates in Rich Results Test. - [ ] Page speed: LCP ≤ 2.5s, INP ≤ 200ms on mid-tier mobile. - [ ] Analytics events fire for every step. - [ ] Result page has product recommendations with attribution-tracked CTA. - [ ] Tool is linked from cluster pillar + at least 3 sibling spokes. - [ ] Author / methodology credit is visible on the page. - [ ] PR pitch list is finalised pre-launch. ## Risks and watchouts 3-5 specific risks. E.g. "Engineering capacity is tight — 8-week timeline is realistic only if no other major project is in flight"; "Methodology needs dermatologist review — schedule that early as a critical-path dependency"; "If quiz drops below 60% completion, the tool isn't earning its build cost — plan for a v2 redesign at 3 months"; "Open-access vs email-gate decision — recommend open access for first launch; gate can be added later if lead capture is needed." ## Implementation checklist - [ ] Brief lock + sign-off (engineering, design, content, marketing). - [ ] Wireframes (mobile + desktop). - [ ] Methodology review with dermatologist. - [ ] Engineering build + analytics instrumentation. - [ ] Content production (intro, methodology, FAQ, result copy). - [ ] QA + accessibility audit. - [ ] Schema implementation + Rich Results validation. - [ ] PR / outreach pre-launch (2-3 weeks). - [ ] Launch. - [ ] Internal-link sweep (cluster pillar + spokes). - [ ] 30-day post-launch review (completion rate, conversion, links earned). ``` Save the produced file to `businesses/<slug>/tools/<tool-slug>.md`. Create the `tools/` sub-folder if it doesn't already exist. After writing, tell the user the file path so they can open it. ## Quality bar - Evaluation table covers all candidate tools across the three dimensions; recommendation is reasoned, not arbitrary. - Input flow is specific (every question / field / filter spelled out), not "will define later." - Output logic is testable (mapping rules + reasoning per archetype). - Surrounding content plan covers intro / methodology / FAQ / related links — not just "add some intro text." - Tech requirements include mobile, accessibility, speed, analytics — not just "build it." - Schema strategy references the actual technical-SEO skill. - Link-acquisition plan names specific publications + pitch angle, not generic "do PR." - Build cost estimate is honest; no lowballed timelines. - Acceptance criteria are observable (LCP ≤ 2.5s, etc.) not "make it good." ## Common mistakes to avoid - Don't recommend a tool with weak search demand. <200/mo on the primary keyword usually means the tool won't earn its build cost from organic traffic alone. - Don't propose tools without cluster anchoring. Standalone tools without cluster context underperform. - Don't skip the surrounding content. Tools without intro / methodology / FAQ index poorly. - Don't propose email gates by default. Open access is the better SEO + brand decision in most cases. - Don't lowball the build timeline. 4-6 weeks is realistic for a quiz; "we'll knock it out in 2 weeks" almost always slips. - Don't omit accessibility requirements. Tools without keyboard / screen-reader support get cited as bad examples + violate ADA in some jurisdictions. - Don't propose schema types Google has narrowed. Speakable, Recipe, HowTo rich results have all been narrowed in 2024-25; use them only when semantically correct, not for SEO theatre. - Don't skip the link-acquisition plan. Tools' main lift is backlinks; without an active outreach plan, that lift takes 18 months to materialise. ## Example **Input (abbreviated):** Field & Sun. Three candidate tools: SPF coverage calculator, skin-type finder quiz, routine builder. **Output (abbreviated):** Recommendation: skin-type finder quiz. Reasoning: highest balanced score across search demand (3,200/mo on "skin type quiz"), link potential (publishers cite skincare quizzes), conversion potential (quiz output recommends specific products). URL: `/quiz/skin-type-finder`. Archetype: quiz. Cluster: skincare-routine. Input flow: 5 questions (oiliness, sensitivity, sun behaviour, pigmentation concern, current routine). Output logic: maps to one of 4 skin types; primary product recommendation + 2 alternatives per type; dermatologist-reviewed reasoning.
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