Sentiment sensitive chatbot that can both ask questions and suggest solutions and collect data on in...

We are seeking a senior developer to build a prototype for a sentiment-sensitive chatbot for our healthcare company based in London. The chatbot should be able to collect data by asking users empathetic questions, suggest interventions, and adapt its responses based on sentiment detected in both text and voice inputs. It must be compliant with GDPR standards, support multimodal interaction, and be accessible for different user needs, including low-literacy and multiple languages. The chatbot should also be capable of remembering previous user interactions to build trust over time, offer actionable tips, and securely store structured data with explicit user consent. Our goal is to test the prototype with trial users, gather feedback, and refine the design accordingly. The engagement is for a day or two, can be done remotely, and may lead to future work.

Budget range:
Up to £1,200

Examples:
Core Characteristics

1. Empathetic & Supportive
   • Converses in a warm, understanding tone.
   • Uses reflective listening (“It sounds like…”) to validate users’ feelings.
   • Adjusts tone and pace if the user sounds stressed, frustrated, or hopeful.
2. Conversational, Not Interrogative
   • Draws out information gently rather than using rigid questionnaires.
   • Asks one question at a time, framed in everyday language.
   • Uses permission-based prompts (“Would you mind if I ask about…?”).
3. Sentiment- and Tone-Aware
   • Detects emotion from text and voice input.
   • Adapts responses accordingly (e.g., more reassurance if user is anxious).
   • Provides space for the user to express themselves without interruption.
4. Builds Trust Over Time
   • Remembers prior interactions
   • Refers back to past conversations when the user returns.
   • Offers continuity: “Last time you mentioned X—how is that going?”
5. Immediately Valuable
   • Sprinkles in small, actionable tips and insights during conversation.
   • Surfaces relevant strategies from the content library.
   • Frames advice as suggestions, not instructions.
6. Data-Gathering with Care
   • Collects structured details
   • Stores securely with consent.
   • Transforms input into structured notes.
7. Safe & Compliant
   • Explicitly requests consent before saving personal details.
   • Meets GDPR standards: transparency, data minimisation, right to delete.
   • Has escalation pathways for safeguarding concerns.
8. Multi-Modal & Accessible
   • Works via voice and text.
   • Friendly UX: simple language, clear structure.
   • Can be extended to multi-language or low-literacy options.

Who are you, and what do you do?
Founder in healthcare space

In what capacity are you hiring?
For my company

Where are you in the hiring process?
I’m ready to make a paid hire

What type of work is this?
Single job with potential follow up work

What experience level is needed?:
Senior