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Prompt Analytics : Identifying and fixing content gaps

  • Presentation
  • Artificial Intelligence (AI) in Technical Communication
  • 12. November
  • 09:00 - 09:45 AM (CET)
  • C6.1
  • Dr Selvaraaju Murugesan

    Dr Selvaraaju Murugesan

    • Document360

Contents

Given the prominence of chatbots across many documentation sites, it is important for technical writers to harness the power of analytics by analyzing all prompts in a privacy-centric way. Unlike lexical search analytics, which provide technical writers with only a list of keywords, prompt analytics provide clear intent of the “ASK”. Analyzing all prompts entered in your chatbot helps technical writers to quickly identify knowledge gaps, address trending topics, and fix documentation gaps. Moreover, understanding prompt drift gives technical writers insight into how customer behavior is changing and helps them fix content accordingly.

Takeaways

Key takeaways are

  • Introduction to Prompt analytics
    • lexical search keywords vs prompts
  • Types of prompt analytics
    • Identify knowledge gaps
    • Identify trending topics
  • Fixing content gaps
    • Creaing and updating knowledge

Prior knowledge

Nil

Speaker

Dr Selvaraaju Murugesan

Dr Selvaraaju Murugesan

  • Document360
Biography

Selvaraaju (Selva) Murugesan received the B.Eng. degree in Mechatronics Engineering (Gold medalist) from Anna University in 2004 and Ph.D. degree in Computational mathematics from LaTrobe University, Australia.  

Selva is working as a Head of Data Science at Kovai.co, SaaS startup located in London. Selva is passionate about technical documentation, technical writing, data analytics and Artificial Intelligence.

Selva leads a technical documentation team and data science team to bring Artificial Intelligence product features into Document360, knowledge base platform.

Selvaraaju (Selva) Murugesan received the B.Eng. degree in Mechatronics Engineering (Gold medalist) from Anna University in 2004 and Ph.D. degree in Computational mathematics from LaTrobe University, Australia.  

Selva is working as a Head of Data Science at Kovai.co, SaaS startup located in London. Selva is passionate about technical documentation, technical writing, data analytics and Artificial Intelligence.

Selva leads a technical documentation team and data science team to bring Artificial Intelligence product features into Document360, knowledge base platform.

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