A community nature-trail chatbot is kept because more visitors finish the self-guided walk. Which business objective is justifying the application?
Select an answer to reveal the explanation.
Short Explanation
Think of a trail chatbot that stays because more visitors finish the walk. That objective is user engagement. Overlap, a crawl bill, and a content filter do not count finished walks.
Full Explanation
Keeping a nature-trail chatbot because more visitors finish the self-guided walk is a user-engagement objective. Engagement here is behavioral completion of the experience the parks program cares about, not a text-similarity score or a training-cost line item. That business justification is common for interpretive civic apps: the assistant stays if it helps people finish the trail journey and return for future visits.
ROUGE overlap with a 1910 paint recipe is an irrelevant textual metric for walk completion and does not justify retention. From-scratch pre-training cost is a training economics topic, not an engagement measure for weekend trail use. A denied-topic filter enforces content policy; it does not count finished walks or explain why leadership kept the bot.
Exam caveat: engagement can rise while answer quality or safety falls. High completion alone does not prove trail content is accurate, accessible, or appropriate for all visitor groups on municipal land.
Operational check: define “finished walk” in analytics, compare completion with and without the chatbot across similar trail days, and sample conversations from completed walks for factual and safety issues before declaring the engagement case closed.