form-cro

Audit non-signup forms and deliver prioritized optimization recommendations.

Updated Feb 21, 2026
One-click install
npx skills add https://github.com/lofty-thoughts/botdaddy --skill form-cro-lofty-thoughts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: form-cro
Source: https://github.com/lofty-thoughts/botdaddy/tree/main/seed/skills/form-cro
Command: npx skills add https://github.com/lofty-thoughts/botdaddy --skill form-cro-lofty-thoughts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reduce abandonment and raise completion rates for non-signup forms by identifying friction, unnecessary fields, poor UX, and measurement gaps so teams can capture the data that matters with minimal user effort.

Core Features & Use Cases

  • Initial assessment: Read product marketing context if available and collect form type, field count, completion rates, device split, and abandonment points.
  • Field-by-field optimization: Recommend which fields to keep, remove, defer, or enrich post-submission and provide inline validation and placeholder guidance.
  • Layout & flow: Advise single vs. multi-step structures, field order, label strategy, and mobile-first layout improvements.
  • Error handling & CTAs: Provide specific error message text, submit button copy and states, and post-submit UX.
  • Measurement & experiments: Define metrics to track, field-level instrumentation, and prioritized A/B test hypotheses with expected impact estimates.
  • Use cases: Lead capture, contact forms, demo requests, applications, surveys, checkout funnels, and quote requests.

Quick Start

Analyze my lead-capture form, identify the top 5 friction points with estimated conversion impact, and provide a prioritized audit with specific fixes and A/B test ideas.

Frequently Asked Questions about form-cro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize form completion rates and reduce abandonment for lead capture forms?

Form optimization audits assess field count, layout, and device split to identify friction causing abandonment. Apply field-level recommendations, inline validation, and mobile-first layout improvements to maximize completions for lead capture, checkout, and survey forms.

What is the best way to audit a contact or demo request form for conversion friction?

A form conversion audit evaluates field count, device split, and abandonment points to pinpoint friction. It delivers prioritized recommendations on which fields to keep, remove, or defer, alongside specific copy, CTA suggestions, and expected conversion impact estimates.

When do I need multi-step form flows instead of a single-page layout for better conversions?

Multi-step form flows are recommended when a form has high field counts or complex inputs like applications and quote requests. Structuring fields across multiple steps reduces visual friction and cognitive load, improving mobile usability and overall completion rates.

How do I write A/B test hypotheses for form optimization and track measurement metrics?

Generate A/B test hypotheses by targeting specific field-level changes like validation timing or submit button copy. Define measurement metrics to track, apply field-level instrumentation, and prioritize experiments based on estimated conversion impact to systematically improve form performance.

Does this form optimization approach work for checkout funnels and quote request forms?

Yes, form optimization applies to checkout funnels, quote requests, surveys, and applications. It audits fields, validation, layout, and mobile usability across any non-signup form, delivering prioritized recommendations and A/B test ideas to reduce abandonment and maximize conversions.