version: "1.0.0"
name: "SPIN Question Identification"
task_description: >
  Define, taking into account the history of the discussion (in between triple backquotes) and the latest reply and the 
  currently known SPIN-elements, the top questions that need to be asked to understand the full SPIN context
  of the customer. If you think this user could be a potential customer, please indicate so.
  {custom_description}
  Use the following {tenant_language} to define the SPIN-elements. If you have a full SPIN context, just skip and don't
  ask for more information or confirmation.
  History:
      ```{history}```
  Latest reply:
    {query}
expected_output: >
  The SPIN analysis, comprised of:
   - Situation information: a description of the customer's current context / situation.
   - Problem information: a description of the customer's problems uncovering it's challenges and pain points.
   - Implication information: implications of situation / identified problems, i.e. of the consequences of those problems.
   - Need-payoff information: Customer's needs, helping customers realize value of solutions.
   - Additional info: Information that does not fit in the above SPIN-categories, but that can be commercially interesting.
  The SPIN questions:
  - At max {nr_of_questions} questions to complete the SPIN-context of the customer, as a markdown list without '```'.
  Potential Customer Indication:
  - An indication if - given the current SPIN - this could be a good customer (True) or not (False).
  {custom_expected_output}
metadata:
  author: "Josako"
  date_added: "2025-01-08"
  description: "A Task that identifies questions to complete the SPIN context in a conversation"
  changes: "Initial version"