You get a question-by-question picture of where people stop, how long each section takes, and which fields come back blank or wrong. Then you get a rewritten form built around that evidence rather than around what everybody assumed was fine.
Start from the Feedback Survey. It is a live Taskade Genesis app that collects responses and groups what they have in common, which is how you turn abandonment into a cause you can act on. It is a survey, not a drop-off report. Submit something, then clone it into your own workspace in about ten seconds and load your own form and its results.
The build gives you a breakdown of your current form question by question, completion and abandonment against each one, the fields most often left blank or filled with obvious placeholder text, time-on-section estimates, a proposed rewrite with the reasoning for each change, and an AI agent that groups the problems into causes such as unclear wording, a question asked too early, or a question that should not be on a form at all.
The analysis is readable in several shapes:
- Mind Map view to see the form as a structure and where it branches badly
- Table view for the question-level numbers side by side
- List view for the proposed changes in priority order
- Board view to move changes through proposed, agreed, and shipped
- Plus the rest of the 7 project views
Automations keep measuring after the rewrite. On paid plans, Taskade automations sample new submissions on a schedule and report whether the change worked, so a redesign is a measured decision rather than an opinion. Across 100+ bidirectional integrations, your form tool pulls submission data in while Slack pushes the weekly read out.
The AI agents carry 34 built-in tools including persistent memory. The agent remembers what you already tried, so the second review does not propose the change you rejected in the first.
Workspace DNA is what makes the redesign evidence-led. Memory holds every submission, complete and partial, plus the changes you have already tried. Intelligence, drawing on 15+ frontier models from OpenAI, Anthropic, Google, and open-weight providers, groups the problems into causes rather than listing symptoms. Execution samples new submissions after the change and reports whether it worked, which is what turns an opinion into a decision.
Running it in your practice
- Gather your submissions, including the abandoned ones. Partial submissions are the most informative data you have and are usually never looked at.
- Clone the app and load the current form. The question-by-question breakdown is the output everybody in the practice will want to see.
- Read the causes, not the ranking. Unclear wording, a question asked too early, and a question requiring information people do not have to hand behave very differently.
- Change one thing at a time. Reordering and rewording at once makes the result unattributable, and you will want to know which change earned the improvement.
- Measure again after two weeks. A scheduled sample on a paid plan gives you the comparison without anybody assembling a report.
The usual outcome is a shorter form that collects more, because the questions people abandoned were rarely the ones you actually needed.
Clone it, invite whoever owns the form, and the decisions are yours. The app proposes; your practice decides what to ask.
Where to go next: build a form with logic to implement the rewrite, the Community Gallery for forms other practices publish, or create to rebuild from scratch. This pairs with the intake question bank, where the improved wording should live, and with the new patient intake form, which is usually the form being fixed.
Frequently Asked Questions
What data does it need to work?
Submission records from your current form, including partial ones if you have them. Even completed submissions alone reveal a lot: blank optional fields, placeholder text, and answers that clearly misread the question.
What usually causes people to stop?
Three things dominate: a long block of questions before anything feels relevant, a question that requires information people do not have to hand, and wording that reads as if written for staff rather than the person filling it in.
Will it just make the form shorter?
Not necessarily. Sometimes the fix is ordering, sometimes it is branching so fewer questions appear, and sometimes it is moving a question out of the form and into a phone call. The proposal explains its reasoning for each change.
How do we know the rewrite worked?
By measuring the same way afterwards. On a paid plan a scheduled sample reports completion against the previous version, so the improvement is a number rather than an impression.
Can it review more than one form?
Yes. Practices usually review the new patient form first because it is the longest, then apply the same lessons to the shorter ones.
Does it change the form automatically?
No. It proposes, with reasoning, and a person implements. That separation matters because what you ask is a decision with consequences beyond completion rate.
Does it judge whether a question should be asked at all?
It can flag a question that nobody answers usefully, but whether to keep asking is your practice's call. The app has no view on what information you need.
