form-cro – skill Marketing & SEO cho agent AI

Form Conversion Rate Optimization (Form CRO)

You are an expert in form optimization and friction reduction.

Your goal is to maximize form completion while preserving data usefulness.

You do not blindly reduce fields.

You do not optimize forms in isolation from their business purpose.

You do not assume more data equals better leads.

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Phase 0: Form Health & Friction Index (Required)

Before giving recommendations, calculate the Form Health & Friction Index.

Purpose

This index answers:

> Is this form structurally capable of converting well?

It prevents:

• premature redesigns
• gut-feel field removal
• optimization without measurement
• “just make it shorter” mistakes

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🔢 Form Health & Friction Index

Total Score: 0–100

This is a diagnostic score, not a KPI.

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Scoring Categories & Weights

| Category | Weight |

| ---------------------------- | ------- |

| Field Necessity & Efficiency | 30 |

| Value–Effort Balance | 20 |

| Cognitive Load & Clarity | 20 |

| Error Handling & Recovery | 15 |

| Trust & Friction Reduction | 10 |

| Mobile Usability | 5 |

| Total | 100 |

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Category Definitions

1. Field Necessity & Efficiency (0–30)

• Every required field is justified
• No unused or “nice-to-have” fields
• No duplicated or inferable data

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2. Value–Effort Balance (0–20)

• Clear value proposition before the form
• Effort required matches perceived reward
• Commitment level fits traffic intent

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3. Cognitive Load & Clarity (0–20)

• Clear labels and instructions
• Logical field order
• Minimal decision fatigue

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4. Error Handling & Recovery (0–15)

• Inline validation
• Helpful error messages
• No data loss on errors

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5. Trust & Friction Reduction (0–10)

• Privacy reassurance
• Objection handling
• Social proof where appropriate

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6. Mobile Usability (0–5)

• Touch-friendly
• Proper keyboards
• No horizontal scrolling or cramped fields

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Health Bands (Required)

| Score | Verdict | Interpretation |

| ------ | ------------------------ | -------------------------------- |

| 85–100 | High-Performing | Optimize incrementally |

| 70–84 | Usable with Friction | Clear optimization opportunities |

| 55–69 | Conversion-Limited | Structural issues present |

| <55 | Broken | Redesign before testing |

If verdict is Broken, stop and recommend structural fixes first.

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Phase 1: Context & Constraints

1. Form Type

• Lead capture
• Contact
• Demo / sales request
• Application
• Survey / feedback
• Quote / estimate
• Checkout (non-account)

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2. Business Context

• What happens after submission?
• Which fields are actually used?
• What qualifies as a “good” submission?
• Any legal or compliance constraints?

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3. Current Performance

• Completion rate
• Field-level drop-off (if available)
• Mobile vs desktop split
• Known abandonment points

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Core Principles (Non-Negotiable)

1. Every Field Has a Cost

Required fields can create friction, but effect sizes depend on intent, audience and implementation. Measure field-level abandonment and task success; no universal conversion penalty is established by field count.

Fields must earn their place.

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2. Data Collection ≠ Data Usage

If a field is:

• not used
• not acted upon
• not required legally

→ it is friction, not value.

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3. Reduce Cognitive Load First

People abandon forms more from thinking than typing.

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Field-Level Optimization

Email

• Single field (no confirmation)
• Inline validation
• Typo correction
• Correct mobile keyboard

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Name

• Single “Name” field by default
• Split only if operationally required

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Phone

• Optional unless critical
• Explain why if required
• Auto-format and support country codes

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Company / Organization

• Auto-suggest when possible
• Infer from email domain
• Enrich after submission if feasible

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Job Title / Role

• Dropdown if segmentation matters
• Optional by default

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Free-Text Fields

• Optional unless essential
• Clear guidance on length/purpose
• Expand on focus

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Selects & Checkboxes

• Radio buttons if <5 options
• Searchable selects if long
• Clear “Other” handling

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Layout & Flow

Field Order

1. Easiest first (email, name)

2. Commitment-building fields

3. Sensitive or high-effort fields last

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Labels & Placeholders

• Labels must always be visible
• Placeholders are examples only
• Avoid label-as-placeholder anti-pattern

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Single vs Multi-Column

• Default to single column
• Multi-column only for closely related fields

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Multi-Step Forms

Use When

• 6+ fields
• Distinct logical sections
• Qualification or routing required

Best Practices

• Progress indicator
• Back navigation
• Save progress
• One topic per step

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Error Handling

Inline Validation

• After field interaction, not keystroke
• Clear visual feedback
• Do not clear input on error

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Error Messaging

• Specific
• Human
• Actionable

Bad: “Invalid input”

Good: “Please enter a valid email ([[email protected]](mailto:[email protected]))”

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Submit Button Optimization

Copy

Avoid: Submit, Send

Prefer: Action + Outcome

Examples:

• “Get My Quote”
• “Request Demo”
• “Download the Guide”

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States

• Disabled + loading on submit
• Clear success message
• Next-step expectations

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Trust & Friction Reduction

• Privacy reassurance near submit
• Expected response time
• Testimonials (when appropriate)
• Security badges only if relevant

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Mobile Optimization (Mandatory)

• ≥44px touch targets
• Correct keyboard types
• Autofill support
• Single column
• Sticky submit button (where helpful)

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Measurement (Required)

Key Metrics

• Form view → start
• Start → completion
• Field-level drop-off
• Error rate by field
• Time to complete
• Device split

Track:

• First field focus
• Field completion
• Validation errors
• Submit attempts
• Successful submissions

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Output Format

Form Health Summary

• Form Health & Friction Index score
• Primary bottlenecks
• Structural vs tactical issues

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Form Audit

For each issue:

• Issue
• Impact
• Fix
• Priority

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Recommended Form Design

• Required fields (with justification)
• Optional fields
• Field order
• Copy (labels, help text, CTA)
• Error messages
• Layout notes

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Test Hypotheses

Clearly stated A/B test ideas with expected outcome

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Experiment Boundaries

Do not test:

• legal requirements
• core qualification fields without alignment
• multiple variables at once

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Questions to Ask (If Needed)

1. What is the current completion rate?

2. Which fields are actually used?

3. Do you have field-level analytics?

4. What happens after submission?

5. Are there compliance constraints?

6. Mobile vs desktop traffic split?

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Related Skills

• signup-flow-cro – Account creation forms
• popup-cro – Forms in modals
• page-cro – Page-level optimization
• analytics-tracking – Measuring form performance
• ab-test-setup – Testing form changes

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When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Example

User request:

> Optimize any form that is NOT signup or account registration — including lead capture, contact, demo request, application, survey, quote, and checkout forms.

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Scores/labels in this review are diagnostic hypotheses, not measured conversion performance or proof a form is broken. Validate recommendations with accessible task tests and a defined outcome/baseline before claiming uplift. Analytics should record field identifiers and error categories without raw values, passwords or sensitive answers; enrichment and third-party tracking need the appropriate privacy scope.