How do their growth rates compare?

Metaforms has a month-over-month growth rate of -21.8%; Yay! Forms has +13.3%.

How does pricing compare?

Metaforms: Contact for Pricing. Enterprise pricing quoted on request — visitors book a call to discuss scope. The vendor also offers professional services alongside the platform. Yay! Forms: Freemium, Free Trial. Freemium with a 7-day free trial and paid tiers billed monthly or yearly. Yearly pricing shown on the site starts at roughly $9/month for the Starter plan (200 submissions per month), $29/month for Plus (2,000 submissions), and $59/month for Professional (20,000 submissions); monthly billing is higher (about $19/$39/$79). Add-on response packs ($9.50 per 100, $19.50 per 1,000, $39.50 per 10,000) and an optional custom domain at about $25/month are available. Confirm current rates on the official pricing page.

What are alternatives to Metaforms and Yay! Forms?

Other tools in related categories include Prolific, Fillout, Branded, forms.app, BlockSurvey.

Metaforms vs Yay! Forms — Traffic (18.97K vs 39.21K), Pricing & Verdict

Open AI Tools

Metaforms vs Yay! Forms — Traffic (18.97K vs 39.21K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Metaforms	Yay! Forms
Official Domain	metaforms.ai	yayforms.com
Pricing Model	Contact for Pricing	Freemium, Free Trial
Monthly Visits	18.97K (18,974)	39.21K (39,209)
MoM Traffic Delta	-5.29K (-21.8%)	+4.6K (+13.3%)
Primary Market & Share	🇮🇳 India (99.7%)	🇵🇹 Portugal (65.9%)
Direct Visits / mo	14.75K	28.74K
User Rating	4.1	4.2
Supported Platforms	Website	Website

Metaforms

AI agents that speed up market research delivery

Survey programming agent

Generates survey code from a questionnaire in reviewable batches of three to five questions, applying your template plus custom coding conventions.

Tracker and revision management

Upload a revised questionnaire, compare it against the current version, see proposed changes question by question and protect IDs, labels, stored values and history.

Works with your existing platforms

Operates in a programming workspace for Decipher and Dimensions, and through an extension inside Qualtrics and Confirmit.

Learning from corrections

When a programmer accepts, rejects or edits a suggestion, the agent carries those corrections into subsequent generations.

Strengths & Pros

+Designed specifically for research delivery workflows rather than generic document automation
+Works alongside Decipher, Dimensions, Qualtrics and Confirmit instead of replacing them
+Reviewable, incremental output keeps a human in control of every change
+Corrections feed back into the model, so output improves with team usage