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Web Form UX & Conversion Optimizer
by Shandra
Audits, redesigns, and optimizes lead, signup, checkout, onboarding, booking, application, account, and multi-step web forms through field reduction, clearer structure, better validation, recoverable error states, mobile-first behavior, accessibility, analytics, experimentation, and implementation-ready developer handoff.
$19.99
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See it in action
You say
Audit our current B2B contact form: it has 12 fields including phone and budget, uses a 'Submit' button, and we are seeing a 70% drop-off on mobile.
Your agent does
Form UX Audit Summary:
- Critical Leak: 12 fields exceed cognitive load for initial contact.
- Recommendation: Reduce to 5 core fields; move 'Budget' to a post-submission step.
- Mobile Fix: Implement 'tel' inputmode for phone field and replace generic 'Submit' with 'Request a Quote'.
What you get
About this skill
Web Form UX & Conversion Optimizer helps marketing teams, SaaS products, e-commerce stores, service businesses, lead-generation agencies, booking platforms, product teams, and frontend developers transform long, confusing, fragile, or underperforming forms into clear, efficient, trustworthy, accessible, and implementation-ready experiences.
The skill can optimize lead-generation forms, demo-request forms, quote forms, newsletter forms, waitlist forms, signup flows, registration forms, login and password-recovery flows, checkout forms, payment forms, shipping and billing forms, onboarding forms, account-setup flows, booking forms, appointment forms, application forms, eligibility forms, intake forms, support forms, surveys, assessments, file-upload forms, settings forms, cancellation flows, enterprise contact forms, and complex multi-step workflows.
It begins by defining the primary user goal, business goal, qualified conversion, downstream operational requirements, and the information genuinely required to complete or qualify the action.
The agent audits every field and classifies it as transactionally required, operationally required, qualification-related, useful for personalization, optional, deferrable, inferable, prefillable, or removable.
It does not reduce fields blindly. It evaluates who uses each value, when it is used, whether it changes routing or fulfillment, whether it can be derived from existing information, and whether asking for it creates unnecessary privacy or conversion risk.
The skill architects logical field order, section grouping, single-step forms, multi-step forms, progressive disclosure, conditional logic, review screens, confirmation states, save-and-resume behavior, browser Back behavior, session recovery, abandoned-form recovery, and mobile-specific form flows.
It creates persistent labels, clear required and optional indicators, useful helper text, format examples, privacy explanations, specific button labels, trust messaging, and error copy that explains what happened, what information was preserved, how to correct the issue, and whether retrying is safe.
The agent specifies correct HTML input types, autocomplete values, mobile input modes, password-manager behavior, paste support, international name and address handling, phone-number formatting, date and time behavior, payment fields, file uploads, and custom-control accessibility.
It designs validation systems across client-side guidance, server-side validation, business-rule validation, payment validation, eligibility checks, file validation, and remote availability checks.
Validation timing is selected deliberately. The skill distinguishes cases where validation should occur during input, after leaving a field, when completing a step, or only after submission.
The skill creates complete error architecture for field-level errors, section errors, form-level errors, network failures, server failures, payment failures, unavailable booking slots, duplicate submissions, session expiration, file-upload failures, permission problems, and partial completion.
It ensures that valid user-entered information is preserved after failure and that duplicate submissions are prevented through both interface behavior and appropriate implementation safeguards.
For multi-step forms, it defines meaningful step boundaries, honest progress, completed-step behavior, Back navigation, editable previous steps, conditional step changes, saved status, browser navigation, session expiration, and final review.
For lead forms, it balances conversion with lead quality. It can defer or remove unnecessary qualification questions, personalize routing, clarify response expectations, create relevant trust messages, and define CRM handoff requirements.
For signup forms, it separates account creation from optional onboarding, minimizes required information, supports password managers, clarifies verification, preserves entries after failure, and routes users toward first value.
For checkout forms, it can define guest checkout, contact information, delivery, billing, payment, review, order confirmation, error recovery, preserved cart context, address autocomplete with manual fallback, wallet payment options where supported, and transparent totals.
For booking forms, it can define service selection, location, provider, date, time, duration, timezone, availability, deposits, customer information, confirmation, cancellation context, slot expiration, and alternative appointment recommendations.
For onboarding forms, it prevents optional profile and preference questions from blocking activation. It can progressively collect role, goal, workspace, integration, and preference data only when those answers improve the experience.
The agent creates consent architecture that separates required transactional consent, terms acceptance, privacy acknowledgment, marketing email consent, marketing SMS consent, and other optional permissions.
It avoids bundled consent, deceptive defaults, confirm-shaming, hidden recurring billing, unnecessary sensitive-data collection, and misleading progress.
Mobile optimization includes one-column layouts, field prioritization, touch-friendly controls, appropriate virtual keyboards, visible focused fields, keyboard-safe sticky actions, safe-area handling, responsive progress, mobile date and payment behavior, and error visibility.
Accessibility requirements cover semantic form structure, labels, fieldsets, legends, descriptions, required states, error relationships, error summaries, logical focus order, visible focus, keyboard operation, progress semantics, live announcements, accessible custom controls, browser zoom, responsive reflow, touch targets, reduced motion, and screen-reader testing.
The skill also creates analytics event maps, field-friction measurement plans, qualified-conversion metrics, experiment roadmaps, form audits, conversion-leak reports, risk assessments, implementation sequences, developer handoffs, acceptance criteria, regression tests, QA checklists, and structured JSON specifications.
It prioritizes qualified conversion, preserved user effort, ethical data collection, clear recovery, privacy, mobile usability, accessibility, implementation feasibility, and measurable business outcomes.
The core commercial promise is: design web forms that reduce unnecessary friction, improve completion clarity, preserve user effort, and support qualified conversion without using deceptive patterns.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
Shandra is a top-ranked AI prompt creator and premium agent skill builder with an established track record in the AI marketplace. She is recognized as a #1 Top Seller on PromptBase, where she has built a trusted catalog of specialized AI prompts and agent skills for creators, entrepreneurs, educators, marketers, digital product sellers, and business professionals. With over 3,500 AI products published, more than 3,400 sales, and 1,000+ five-star reviews, Shandra has become known for creating practical, polished, and commercially useful AI resources that help users save time, organize complex ideas, generate high-quality content, build digital products, and transform creative concepts into actionable workflows. Her Agensi store focuses on premium, ready-to-use agent skills designed for real-world productivity. Each skill is developed with clear instructions, structured workflows, professional formatting, practical use cases, setup guidance, examples, edge-case handling, and a strong emphasis on usability. Her work combines creative strategy, prompt engineering, documentation design, business thinking, and practical automation into reliable tools that users can apply immediately. Shandra’s mission is to create AI skills that feel professional, useful, and complete from the first use — not generic templates, but carefully built workflow systems that help users think better, work faster, and produce stronger results.
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