Summary

FormForge is an AI-assisted form builder for creating useful public forms quickly. A user describes the form they need, reviews generated fields, edits the form visually, publishes a public link, receives submissions, and reviews or exports responses.

The fresh-start concept should validate that core loop before rebuilding the old app's broader production surface. The product should be treated as a prototype-first business app until the target customer and strongest use case are proven.

Problem Hypothesis

Individuals and small teams often need professional forms for intake, feedback, signups, requests, surveys, and lightweight data collection, but building a polished form still requires too much manual setup. Existing tools can be powerful, but users still spend time translating an intent into field structure, validation, copy, conditional logic, and response handling.

The core hypothesis is that natural-language form generation plus a practical editing and publishing workflow can reduce setup time enough to make FormForge meaningfully better for repeated lightweight form creation.

Beneficiary Hypothesis

The initial beneficiary hypothesis is individuals and small teams who need professional forms quickly but do not want the operational overhead of enterprise form platforms.

Likely early beneficiary groups may include solo operators, consultants, small service businesses, internal team leads, creator businesses, and early-stage teams. This is intentionally not an ICP selection yet; the next research step should narrow which group has the most urgent and frequent problem.

Product Category Guess

FormForge appears to sit in the AI-assisted productivity and lightweight SaaS category, specifically around form building, public data collection, and response management.

It may eventually overlap with survey tools, intake tools, no-code workflow tools, and customer-support or operations forms, but those category edges should remain hypotheses until ICP and market evidence are collected.

Value Wedge

The likely value wedge is fast intent-to-form creation: users can describe the outcome they want and receive a usable draft form that can be edited, published, and used immediately.

Quality signals from the old project should be preserved as product principles, not implementation inheritance:

Constraints

Non-Goals

Assumptions And Unknowns

ICP Readiness

The concept is ready for ICP discovery, but not for product specification or implementation planning.

The ICP step should use this concept brief, the old repo's desk-flip report, and the old task/history docs as context. It should test these assumptions first:

Next Steps

Primary command: $pack install business-discovery

Other useful options: