Genesys Casual

Hi everyone!

I'd like to start a discussion about best practices for designing bot experiences in Genesys Cloud, especially when working with intent-based flows, Digital Bot Flows, Virtual Agents, Knowledge, and guided flow.

In real projects, one of the main challenges I see is deciding the best approach for each customer need:

Should the bot provide a direct answer from Knowledge?
Should it identify an intent and follow a structured Digital Bot Flow?
Should it use a more conversational Virtual Agent experience?
Or should the journey be more guided, with menus and predefined steps?

I'm curious to hear how other teams make these design decisions.

What best practices, lessons learned, or common pitfalls would you recommend when designing these types of Genesys Cloud bot experiences?

#Unsure/Other

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Fabíola Freitas
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Hello @Fabíola Freitas

I think the best approach is to start with the customer journey, not with the technology.

For simple questions, Knowledge is usually a good fit because it provides quick answers. For processes that require collecting data, validations, or business rules, Digital Bot Flows are usually better. Virtual Agents are useful when the experience needs to be more conversational, but they still need clear limits, good fallback handling, and a simple path to an agent. Guided flows or menus can help when customers may not know how to describe what they need.

In real projects, I believe the best bot experience often combines these options instead of using only one approach.

The main lessons learned are: start small, define the scope clearly, test with real customer language, review failed intents often, and make escalation to a human agent easy.

The biggest pitfall is designing the bot based only on internal processes instead of the customer's perspective.

Hi Fabíola,

Great topic.

From my experience, the best approach is usually a combination depending on the use case rather than trying to force everything into one bot style.

- Knowledge works well for quick FAQs and informational content
- Intent-based Digital Bot Flows work well for structured transactional journeys
- Conversational Virtual Agents help when requests are less predictable and more natural-language driven
- Guided/menu-driven flows are still very effective for high-volume and controlled experiences

One thing that also helped us was adding flow outcomes to track where self-service succeeded versus where interactions escalated to an agent. Seeing where self-service struggled, especially after hours, helped identify knowledge gaps and refine the bot and knowledge experience over time.

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Phaneendra
Technical Solutions Consultant
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Great points above. In real projects, it usually starts with understanding what the customer is trying to achieve, what's actually available in their environment, and what makes the most sense for that situation. Once that's clear, choosing the right approach gets a lot easier. Optimization over time is another big part of it, especially with intent-based bots. Regularly reviewing training phrases, fallbacks, confidence scores, and real customer interactions can really improve the overall experience.