Knowledge Center next icon User input based continuation
Apr 21, 2023
2 minutes read

User input based continuation

Conversations can adapted based on input from the user. This can be done by combining a few steps:

  1. Use a text to let the user know they are expected to give input.
  2. Retrieve the input via an input or a combination of listpicker / reply buttons with an input .
  3. Decide on how to move forward with the conversation via a logic .

Or you use the menu step which gathers all this functionality into one (meta) step. The example below shows how this would look like.

config:  conversationOwner: null  conversationOwners:    - identifier: conversationOwner      channel: WhatsApp  scriptLanguageVersion: 1  scriptVersion: 1  defaultDelay: 200  lists:    positive-answers:      items:        - Ja    negative-answers:      source: negative-answers.ymlflows:  - id: main    description: Entry flow for the bot    steps:      - !entry         id: Entry-1        actions: []        clientActions: []        matches: []        regexMatches:          - dennis        allowRestart: true        isCaseSensitive: true        doCatchAll: false      - !menu         id: Menu-1        actions: []        clientActions: []        displayType: ListPicker        header: Subject choice        interactiveMessageBody: What are you looking for?        buttonTitle: ''        footer: ''        options:          - key: shoes            keyAliases: []            contentType: PlainText            displayedText: Shoes            cursor: info-shoes.Text-1          - key: sweaters            keyAliases: []            contentType: PlainText            displayedText: Sweaters            cursor: info-sweaters.Text-1        fallback: You didn't provide a valid option.        timeoutInSeconds: ''        timeoutCursor: ''  - id: info-shoes    description: ''    steps:      - !text         id: Text-1        actions: []        clientActions: []        message: >-          We have a lot of options when it comes to shoes. Especially within the          sneakers branch we are well equipped.      - !end_session         id: Terminate-1        actions: []        clientActions: []        resetRouter: false  - id: info-sweaters    description: ''    steps:      - !text         id: Text-1        actions: []        clientActions: []        message: We have some sweaters in our stores but most have are sold out.      - !end_session         id: Terminate-1        actions: []        clientActions: []        resetRouter: false

All steps mentioned above can be found in our Steps documentation.


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