Skip to content
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
24 changes: 9 additions & 15 deletions docs/howtos/navigation.md
Original file line number Diff line number Diff line change
Expand Up @@ -8,27 +8,21 @@ Our role, as conversation designers, is to smoothly lead the user into saying wh

![alt_text](nav2.png "image_tooltip")

Navigation nodes can be operated in two ways: Intents and Keywords.
Click “Add an intent” and a menu will pop up. Now you can search for intents, or create ones for yourself

## 2. 1. Intents
## 2. 1. Find an existing intent

So, intents are collections of semantically similar utterances that basically mean the same thing in a conversation. For example, “Yes” is a word, but “Yeah!”, “Sure”, “YESSS” and “Yup” also mean the same thing, and we should embrace them as well.

On CoCoHub’s studio, we have 5 intents - click on the needed one

Yes - the user answers in a positive way
- Type your desired intent in the search window, or
- Scroll down and up, up and down, until you find something fitting.

No - the user answers in a negative way
Once you hover with the mouse over the intent, you’ll see what it does and some examples of relevant inputs.
Now, by clicking on the eye button, you can get inside and see the complete variety of phrases and utterances.

![alt_text](nav1.png "image_tooltip")

Continue - the user asks the chatbot to go on

Stop - the user asks the chatbot to abort the conversation
So, intents are collections of semantically similar utterances that basically mean the same thing in a conversation. For example, “Yes” is a word, but “Yeah!”, “Sure”, “YESSS” and “Yup” also mean the same thing, and we should embrace them as well.

![alt_text](nav7.png "image_tooltip")
We've created dozens of intents that can help any individual, business and company and can expect most things the users will say.

Wildcard - an option in which every input by the user is valid, and yields the same response. What is it good for? Here are two examples:
In addition, we give "Anything Else" which leads to a general fallback - what your bot will answer if the user don't say anything you prepared for.

- When you need the user’s opinion or answer for data-collection purposes - and the scope of answers is too wide (“What’s your favourite travel destination in the world?”)

Expand Down