Description
The Interactive Feedback Form with Smart Suggestions brings intelligence to traditional feedback forms by dynamically adjusting based on user responses, tone, and completion behavior. Powered by AI and NLP, the form offers smart prompts and autofill suggestions to increase completion rates and reduce user friction. For example, if a user writes “app crashes,” the system might auto-suggest follow-up questions like “Was this on Android or iOS?” or “Did you submit a support ticket?” It detects sentiment (positive/neutral/negative) and offers escalation prompts or resolution resources if needed. These forms can be embedded into websites, apps, email footers, or customer portals. Admins can build question flows using a drag-and-drop logic builder, set conditional branching, and configure alerting for specific keywords or sentiment scores. All collected feedback is funneled into dashboards with AI-based tagging and trend detection, making analysis fast and actionable. Ideal for SaaS, customer success teams, product managers, and digital service providers, this tool improves customer understanding, support responsiveness, and feature prioritization based on real insights.
Bello –
The interactive feedback form is a brilliant upgrade. The auto-suggested answers save so much time and the adaptive questions ensure we’re getting the most relevant insights. The tone detection is a surprising and helpful bonus for understanding the nuances of user sentiment, allowing us to quickly address concerns and celebrate successes. It’s made collecting and analyzing feedback a much more efficient and insightful process.
Toyin –
This IT service has revolutionized how we gather feedback. The interactive form is intuitive, offering smart suggestions that streamline the process for our users. The tone detection feature is incredibly useful for quickly understanding sentiment, and the adaptive questioning allows us to drill down into specific areas needing improvement. This has significantly improved the quality and efficiency of our feedback collection, resulting in valuable insights that are driving positive changes within our organization.
Ada –
The interactive feedback form has revolutionized the way we gather insights. The auto-suggest feature makes providing feedback quicker and easier, while the tone detection helps ensure we understand the true sentiment behind the responses. The adaptive questions are a fantastic addition, allowing us to delve deeper into specific areas and get more targeted information.
Shamsu –
The interactive feedback form with smart suggestions has significantly improved our data collection process. The auto-suggest feature saves users time and ensures consistency, while the tone detection helps us understand the nuances of their responses. The adaptive questions allow for a more personalized and relevant feedback experience, leading to richer and more actionable insights. This has streamlined our analysis and enabled us to respond more effectively to customer needs.