Summary
A SaaS developer replaced traditional Google Forms with a conversational AI interface for collecting feedback, resulting in 34 responses vs 8 previously. The chat-like experience proved more engaging, leading them to consider productizing the solution. Comments reveal divided opinions on conversational forms' effectiveness, with debates around user friction vs engagement. Some users shared alternative tools like Deformity and discussed implementation challenges like input validation and voice integration.
Opinion
Mainstream opinion acknowledges conversational forms' potential for higher engagement in specific scenarios like feedback collection. Dominant debate centers around user friction vs value:
PRO: Conversational interfaces create memorable interactions (u/chandansgowda)
CON: Increased steps/time commitment (u/vonGlick)
Controversial points:
1. Effectiveness of AI forms vs traditional (u/The-_Captain vs u/chandansgowda)
2. Validation challenges in free-text inputs (u/IamHeartTea)
3. Voice integration viability (u/Mere_TheTechNinja)
Notable perspective: Timing and context (in-app vs external links) significantly impact response rates (u/The-_Captain)
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| Google Forms | https://www.google.com/forms | Form Builder | Traditional form creation with low response rates |
| Hotjar | https://www.hotjar.com | User Feedback | In-app feedback collection with timing optimization |
| Deformity | https://deformity.ai | AI Form Builder | Conversational AI forms with dynamic flows and customization |
| ChatbotBuilder.ai | https://chatbotbuilder.ai | Chatbot Platform | Voice-enabled chatbot creation with training resources |
USER NEEDS
Pain Points:
- Traditional forms feel cold and transactional
- Users drop off due to unclear time commitment
- Validation issues in conversational interfaces
- Perceived verbosity in chatbot interactions
Problems to Solve:
- Improve feedback response rates
- Create more engaging user interactions
- Handle input validation in conversational formats
- Reduce user friction in data collection
Potential Solutions:
- Conversational AI interfaces for feedback collection
- Timing optimization for in-app feedback requests
- Voice input integration to reduce typing
- Hybrid approach offering both static and dynamic forms
GROWTH FACTORS
Effective Strategies:
- Converting successful experiments into standalone products
- Offering both AI and traditional form options
Marketing & Acquisition:
- Direct outreach via DMs for demos
- Community engagement in niche forums (e.g., r/microsaas)
Monetization & Product:
- Potential pricing based on conversational interactions
- Feature development focusing on voice input and dynamic flows
User Engagement:
- Creating memorable interaction moments
- Leveraging timing during user frustration or value realization
- Building through community feedback and use case validation