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Getting Started (3)

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Ai Configuration (6)

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Woocommerce Integration (5)

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Customization (2)

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Conversation Management (2)

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Chatbot Menu Settings (4)

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Security And Privacy (4)

Pre-made Questions

Reading Time: 3 minutes

Overview

The Pre-made Questions feature in WPiko AI Chatbot allows you to set up a list of frequently asked questions that appear as clickable options when a user starts interacting with the chatbot. This feature helps users quickly find answers to common queries and can guide the conversation in productive directions.

Accessing Pre-made Questions Settings

  • Log in to your WordPress dashboard.
  • Navigate to WPiko AI Chatbot > Pre-made Questions.
  • You’ll see the “Pre-made Questions” section where you can manage your questions.

Adding Pre-made Questions

In the Questions section, you’ll see a list of existing questions (if any) and an option to add new ones.

To add a new question:

  • Click the “Add Question” button.
  • In the new input field that appears, type your question.
  • Press Enter or click outside the field to save.
  • You can add up to 30 pre-made questions.

Editing Existing Questions

  • To edit an existing question, simply click on the question text.
  • The text will become editable.
  • Make your changes and press Enter or click outside the field to save.

Removing Questions

  • Next to each question, you’ll see a “Remove” button.
  • Click this button to delete the question.
  • A confirmation prompt will appear—click “OK” to confirm deletion.

Ordering Questions

  • Questions will appear in the chatbot interface in the order they are listed in the admin panel.
  • To change the order, you may need to remove and re-add questions in your desired sequence.

Best Practices for Pre-made Questions

  • Keep Questions Concise: Use clear, short phrases that are easy for users to scan quickly.
  • Cover Key Topics: Include questions that address the most common inquiries your business receives.
  • Use Natural Language: Phrase questions as a user would ask them, not in business jargon.
  • Prioritize Important Questions: Place the most crucial or frequently asked questions at the top of the list.
  • Regularly Update: Review and update your pre-made questions periodically to ensure they remain relevant.
  • Diverse Coverage: Include a mix of questions about products, services, policies, and general information.
  • Avoid Redundancy: Each question should address a unique topic to maximize the utility of this feature.

Example Pre-made Questions

Here are some examples of effective pre-made questions:

  • “What are your business hours?”
  • “How can I track my order?”
  • “Do you offer international shipping?”
  • “What is your return policy?”
  • “Can you tell me about your bestselling product?”
  • “How do I contact customer support?”

Customizing Appearance

The appearance of pre-made questions is controlled by the general chatbot styling settings. To customize:

  • Go to WPiko AI Chatbot > Chatbot Style.
  • Adjust settings like colors and fonts to match your website’s design.

Troubleshooting

If pre-made questions are not appearing in your chatbot:

  • Ensure you have saved your changes after adding or editing questions.
  • Check if you have exceeded the maximum limit of 30 questions.
  • Verify that the feature is not disabled in your chatbot settings.
  • Clear your browser cache and refresh the page where the chatbot is embedded.

Impact on Chatbot Behavior

  • When a user clicks a pre-made question, it’s treated as if they had typed the question themselves.
  • The AI will respond to the selected question based on its training and any custom instructions you’ve provided.

Integrating with Other Features

  • Consider how pre-made questions complement your AI’s knowledge base.
  • Ensure your chatbot’s AI is trained to handle the topics covered in your pre-made questions effectively.

By effectively configuring pre-made questions, you can significantly enhance the user experience of your WPiko AI Chatbot. This feature helps guide users to important information quickly, potentially reducing the workload on your customer service team and improving overall user satisfaction.