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Diagnose form friction across field necessity, mobile usability, validation, error recovery, accessibility and qualified conversion quality.
$9.99
Form Conversion Doctor — Reduce Friction
Example session with this skill installed
Fictional example: A demo form asks for 14 required fields including phone and annual budget. In a fictional week, 1,000 visitors start and 120 submit; no field-level analytics or lead-quality data exist. Produce a complete first-pass deliverable, separate facts from assumptions, and give practical next steps. Do not take external actions.
- Read your context and instructions
- Compiled the form conversion doctor
Form Conversion Doctor: worked example
Scope: the fictional brief below, using only supplied information.
A demo form asks for 14 required fields including phone and annual budget. In a fictional week, 1,000 visitors start and 120 submit; no field-level analytics or lead-quality data exist.
Deliverable
| Workstream | Finding / decision | Recommended action |
|---|---|---|
| Baseline | 120 / 1,000 starts = 12% completion | Confirm event definitions and track qualified meetings as well as raw submissions. |
| Field friction | Fourteen required fields may create burden; causality is unproven | Keep contact and essential fit fields; test moving nonessential qualification questions later instead of removing all controls. |
| Recovery | No mobile or validation evidence supplied | Audit keyboard access, labels, input types, inline errors and preservation of entered data after failure. |
Decision and next steps
Run one controlled field-reduction experiment after instrumentation. Use completion, qualified meeting rate and spam as guardrails; do not promise uplift from this descriptive baseline.
Evidence boundaries
These conclusions apply to the supplied scenario. Missing facts remain unverified; proposed changes are recommendations, not completed actions. Validate source data and approvals before implementation. Track the result against the stated objective and adjust only when new evidence supports a change.
Connects securely to your tools. The creator never sees your data.
About this skill
Form Conversion Doctor
Diagnose form friction across field necessity, mobile usability, validation, error recovery, accessibility and qualified conversion quality.
What the workflow covers
- Confirm event definitions and track qualified meetings as well as raw submissions.
- Keep contact and essential fit fields; test moving nonessential qualification questions later instead of removing all controls.
- Audit keyboard access, labels, input types, inline errors and preservation of entered data after failure.
How to use it
Provide your goal, relevant source material, current constraints and the details needed for form conversion doctor. Include dates, context and any existing decisions that must be preserved.
What you receive
A structured deliverable with supplied facts, clear assumptions, prioritized actions, open questions and next steps. The depth adapts to your goal and available evidence. The example below is a fictional demonstration.
Uses supplied evidence and explicit assumptions. No guaranteed business outcomes or continuous monitoring. Live research and external actions require supported tools and authorization.
This package contains reusable agent instructions. Tool access depends on your AI host. External actions require supported tools and explicit authorization.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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