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Customer Support: Taking Care of Your Clients and Solving Their Problems

Customer Support: Taking Care of Your Clients and Solving Their Problems​

Even the best AI Expert may occasionally encounter a situation it cannot solve, or your clients may have questions or technical problems where they'll need your help (or your team's help). Quality and timely customer support is key to maintaining satisfied and loyal customers.

Setting Up Your Official Customer Support Email Address​

It's essential that your users have a clear contact point for situations when your AI Expert cannot help them. This typically concerns payment issues, technical difficulties with accessing the AI Expert, or specific questions that require your personal intervention as the know-how author.

To set this contact email address, use the Dashboard in the Configuration section and fill in the field named Support email. Alternatively, you can set it via the following command in your chat with the BuddyPro instance:

/setSupportEmail:{your_support_contact_email}
  • Replace {your_support_contact_email} with your actual email address designated for client support (e.g., support@mycompany.com or help@myproject.com).
  • Your AI Expert can then mention this email address or directly refer users to it if the user asks for help with a problem that falls within the competence of human support (e.g., when asking about refunds, resolving technical issues with an account, etc.).

Educating Your Community and Proactive Communication (problem prevention)​

You can prevent many potential problems and misunderstandings by actively, clearly, and continuously educating your users about how your AI Expert works. It's important to realize that your clients may not have as much experience with AI as you do, so it's crucial to set their expectations correctly and teach them how to get the most out of interacting with your AI.

Key topics for educating your users:

  • What your AI Expert can do better than general AI (e.g., ChatGPT):
    • Explain that it is an expert in your specific field and was trained on your unique know-how. This means its advice is specialized and relevant to the topics you work on together.
    • Emphasize that it understands your methods, processes, and terminology, which general AI cannot offer.
    • It may have a specific "personality" and communication style that you've set up to best match your approach and values.
  • How to communicate effectively with the AI Expert for the best results:
    • Be specific: Teach users that the more precisely they formulate their question or problem, the more relevant and useful answer they'll receive.
    • Provide context: Encourage them to share important context with the AI Expert. For example, if they're solving a marketing strategy, they should mention their product, target audience, previous experience, etc.
    • Don't be afraid to ask follow-up questions: If they don't understand the answer or want to know more, they can ask the AI Expert for an explanation, simplification, or additional information.
    • Show examples (Use Cases): Demonstrate with specific scenarios what types of questions they can ask and how the AI Expert can help them in their situation (e.g., "Ask how to create XYZ according to my method...", "Request a proposal for ABC for your project...").
    • AI remembers you: Explain that your AI Expert remembers key information from previous conversations thanks to the so-called "BuddyPro user profile", which enables a smoother and more personalized interaction. They don't have to repeat everything from the beginning every time.
  • What to (not) expect from the AI Expert -- Setting realistic expectations:
    • AI is not infallible: Despite advanced capabilities and training on your know-how, AI may occasionally generate inaccurate information ("hallucinations") or misunderstand a very complex or unclearly formulated question. It's always good to maintain critical thinking.
    • It's not a replacement for a human expert in all situations: For crucial life, financial, or health decisions, users should always consult other sources or human experts. Your AI Expert is a powerful tool and guide, but final responsibility for decisions rests with the user.
    • It's good to transparently inform users about all these limitations of your AI expert so they won't be disappointed and trust and willingness to work with your AI expert won't decrease.
  • Inspire exploration: Encourage users to "play" with the AI Expert, try different types of questions, and discover its potential for solving their problems themselves.

Forms of educating your users:

  • Onboarding materials: Create quality introductory video or email series that guides users through the basics of using your AI Expert (see point 21 about customer onboarding). Here you can explain the principles mentioned above.
  • Regular tips and guides: Share useful information through emails, posts in your community group, on your blog, or social media. Show practical "use cases".
  • FAQ (Frequently Asked Questions): Create and regularly update an FAQ section on your website or in the members section, focused on using the AI Expert.
  • Live demonstrations and webinars: Occasionally, you can organize a live demonstration where you show how you work with the AI Expert and what results it brings.

The goal is for your users to feel comfortable using your AI Expert, understand its capabilities, and know how to get the most out of it for their needs. This also minimizes misunderstandings and burden on your human support.

Effective Response to Feedback and Problem Reports from Users​

Despite all efforts, situations may arise where users encounter a problem or feel that the AI Expert didn't respond correctly. Your response to these situations is crucial.

  • Create a system for collecting feedback: Make it easy for users to report a problem or provide feedback (e.g., through a dedicated form, the support email address you set up in the Dashboard in the Configuration section).
  • Ask for details: When a client reports a problem with AI behavior (e.g., "AI gave me nonsense", "AI didn't understand my question"), ask them for as many specific details as possible. Screenshots of the conversation and the exact wording of their question(s) that led to the problematic response are key.
  • Problem diagnosis (for you as the owner):
    • Try to reproduce the problem based on the provided information in your own conversation with the AI Expert.
    • Use diagnostic commands like /lastRole to find out which expert sub-role the AI was responding in, or /investigateAnswer:{message} for deeper analysis of what know-how and role definitions were used for the given answer (see point 15 about diagnostic commands).
    • Based on findings, you can then make adjustments (see point 16 about optimizing the AI Expert).
  • Timely and empathetic communication: Respond to questions and solve problems as quickly as possible and with understanding. Even though AI handles most interactions, your personal customer care in critical moments builds trust and loyalty.
  • Use feedback for improvement: Every problem report or feedback is a valuable source of information. Use it to:
    • Supplement or modify your know-how in the sources folder.
    • Tune the System Prompt for better defining AI behavior.
    • Revise expert sub-role definitions.
    • Create a new FAQ item or supplement your educational materials for users.

Remember that a satisfied customer you helped solve a problem for often becomes even more loyal.