Auto Complete Survey Bot (Web LEGIT)

| Mode | Trigger | Example | Risk | | :--- | :--- | :--- | :--- | | | User pauses typing > 1.5 sec | User types "I feel..." → Bot suggests "satisfied with my workload." | Anchoring bias | | Inference | Question is predictable from prior answers | Q4 asks "Age range?" → Bot auto-selects from Q3’s birth year. | Silent assumption error | | Summarization | Open-ended “Please explain” | User writes 3 bullet points → Bot rewrites as fluent paragraph. | Semantic drift |

| Feature | Traditional Chatbot | Auto-Complete Survey Bot | | :--- | :--- | :--- | | Question flow | Fixed or simple branching | Dynamic, generative inference | | Text input | Full manual typing | Predictive completion & summarization | | Error handling | Re-ask question | Infer correction from context | | Open-ended response | Verbose, often abandoned | Concise, AI-facilitated | | Completion time | Linear | Sub-linear (parallel inference) | auto complete survey bot

Existing solutions—progress bars, gamification, conditional logic—are passive. They do not accelerate the act of responding . The emergence of large language models (LLMs) and conversational UI enables a paradigm shift: the . | Mode | Trigger | Example | Risk