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Conversational Designer
2 weeks ago
Position Overview
We are seeking a dynamic and multidisciplinary professional to join our Virtual Assistant (VA) team as a Conversational AI & UX Specialist. This role sits at the intersection of Conversational Design, User Experience, and AI Training & Testing, supporting the continual evolution of our enterprise-grade Virtual Assistant solutions across ServiceNow, MS Teams, and other integrated platforms
Core Responsibilities
Conversation Design
- Design conversation flows and dialogue patterns for IT service management use cases
- Create and maintain conversation design system documentation and guidelines
- Develop personality profiles and tone of voice and text guidelines for virtual assistants
- Write clear, concise, and natural dialogue for various scenarios
- Design error handling and fallback conversations that maintain user engagement
User Experience Design
- Managing the entire design process from ideation to final UI designs
- Create detailed interaction models for different user scenarios and contexts
- Conducting user interviews and customer roundtable sessions, to gather valuable insights and feedback for product enhancement
- Creating user flows, personas, taking part in usability testing
- Designing wireframes and interactive mock-up for internal brainstorming sessions and for customer reviews
- Design conversation repairs and recovery strategies
- Writing UX documentation and specifications
- Map user intents to appropriate conversational responses
- Design contextual help and proactive guidance elements
Content Development
- Write and maintain conversational content libraries
- Create response variations to make conversations feel more natural
- Develop multilingual conversation flows when required
- Design system messages and notifications
- Collaborate with customer facing CSM's/SDM's for pilot templates to gather feedback
Testing & Optimization
- Conduct conversation testing to ensure natural flow and effectiveness
- Review conversation logs to identify areas for improvement
- Analyze user feedback specific to conversation design
- Optimize dialogues based on user interaction patterns
- Perform A/B testing on different conversation approaches
Quality Assurance
- Establish and maintain conversation design quality standards
- Review and validate conversation flows for consistency
- Ensure compliance with brand voice and style guidelines
- Validate technical accuracy of IT service management content
- Maintain version control of conversation designs
Research & Innovation
- Research latest trends in conversational AI and user experience
- Study user behavior patterns to inform design decisions
- Identify opportunities for conversation flow improvements
- Keep updated with advances in overall AI /Gen AI /natural language processing
- Propose innovative solutions for complex conversation scenarios
Required Skills & Competencies
Technical Knowledge
- Understanding of conversational AI platforms and capabilities
- Knowledge of natural language processing concepts
- Familiarity with conversation design tools and methodologies
- Basic understanding of IT service management processes
- Experience with prototyping and wireframing tools
Writing & Language Skills
- Excellent writing skills with focus on conversational content
- Ability to write in different tones and styles
- Experience in technical writing
- Understanding of linguistic principles
Design Skills
- Experience in user experience design
- Creating logical conversation branches
- Knowledge of conversation design patterns
- Understanding of user interface design principles
- Ability to create user flows and journey maps
- Experience with design thinking methodologies
- Designing graceful ways to handle misunderstandings
- Creating helpful error messages that don't frustrate users
- Ensuring our designs reflect our customer's requirement to keep our Virtual Assistant's ability to demonstrate smart AI enabled level of intelligence.
Analytical Skills
- Ability to analyze conversation metrics and user feedback
- Understanding of user behavior analytics
- Experience with A/B testing methodologies
- Data-driven decision-making capabilities
- Problem-solving and pattern recognition skills
Impact & Success Metrics
- Improvement in virtual assistant comprehension rates
- Reduction in conversation abandonment rates
- Increase in successful task completion rates
- Higher user satisfaction scores for conversation experiences
- Reduction in escalation rates due to conversation design issues
- Improvement in first-interaction resolution rates
Collaboration Requirements
- Work closely with technical teams to understand platform capabilities
- Partner with subject matter experts for technical content accuracy
- Coordinate with customer experience teams for brand alignment
- Engage with business data analysts for conversation performance insights
- Support training teams with conversation design documentation
AI Training & Optimization
- Annotate and train AI/NLU models by labeling intents, entities, and improving utterance accuracy.
- Regularly analyze bot logs and user queries to identify gaps in training data.
- Work with the data team to improve symptom/code recognition and ticket categorization accuracy.
- Suggest synonyms, utterance variations, and fallback intent management.
User Acceptance Testing (UAT)
- Develop test scenarios and acceptance criteria in collaboration with stakeholders.
- Execute UAT scripts for new flows, KB integrations, and automation triggers.
- Identify defects or experience inconsistencies and coordinate with developers for fixes.
- Validate live agent handover (LAH), email triggers, multilingual flows, and symptom population features.