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GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #61

A Generative AI Engineer is designing a chatbot for a gaming company that aims to engage users on its platform while its users play online video games. Which metric would help them increase user…

The correct answer is B. Diversity of responses. Diversity of responses is the key metric that keeps gaming chatbot interactions fresh and engaging, directly supporting user retention.

Designing Generative AI Applications for User Engagement

Question

A Generative AI Engineer is designing a chatbot for a gaming company that aims to engage users on its platform while its users play online video games. Which metric would help them increase user engagement and retention for their platform?

Options

  • ARandomness
  • BDiversity of responses
  • CLack of relevance
  • DRepetition of responses

How the community answered

(41 responses)
  • A
    2% (1)
  • B
    90% (37)
  • C
    7% (3)

Why each option

Diversity of responses is the key metric that keeps gaming chatbot interactions fresh and engaging, directly supporting user retention.

ARandomness

Randomness without relevance or coherence produces unpredictable and confusing responses that would frustrate users rather than engage them.

BDiversity of responsesCorrect

When a chatbot produces varied and contextually rich responses, users are less likely to feel the interaction is scripted or repetitive, which sustains engagement over time. Diversity signals that the system is capable of nuanced conversation, which is especially important in a dynamic gaming context where users return frequently. This directly contributes to both session length and long-term platform retention.

CLack of relevance

Lack of relevance means responses do not address what the user said or needs, which actively harms engagement and drives users away.

DRepetition of responses

Repetition of responses makes the chatbot feel static and robotic, which reduces user interest and accelerates churn.

Concept tested: LLM chatbot engagement metrics - response diversity

Source: https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/advanced-prompt-engineering

Topics

#Chatbot design#User engagement#Generative AI applications#User experience (UX)

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