- Minor changes to the SPIN_SPECIALIST
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@@ -4,13 +4,15 @@ task_description: >
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You are asked to gather lead information in a conversation with a new prospect. This is information about the person
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participating in the conversation, and information on the company he or she is working for. Try to be as precise as
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possible.
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Take into account information already gathered in the history (between triple backquotes) and add information found in
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the latest reply.
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Take into account information already gathered in the historic lead info (between triple backquotes) and add
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information found in the latest reply. Also, some identification information may be given by the end user.
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history:
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```{history}```
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historic lead info:
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```{historic_lead_info}```
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latest reply:
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{query}
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identification:
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{identification}
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{custom_description}
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expected_output: >
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@@ -1,11 +1,11 @@
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version: "1.0.0"
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name: "Define Identification Questions"
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task_description: >
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Gather the identification information gathered by your team mates , take into account the history (in between triple
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backquotes) of the conversation, and the latest reply of the user.
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Gather the identification information gathered by your team mates. Ensure no information in the historic lead
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information (in between triple backquotes) and the latest reply of the user is lost.
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Define questions to be asked to complete the personal and company information for the end user in the conversation.
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history:
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```{history}```
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historic lead info:
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```{historic_lead_info}```
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latest reply:
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{query}
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@@ -2,10 +2,11 @@ version: "1.0.0"
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name: "Rag Consolidation"
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task_description: >
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Your teams have collected answers to a user's query (in between triple backquotes), and collected additional follow-up
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questions (in between triple %) to reach their goals. Ensure the answers are provided, and select the additional
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questions to be asked in order not to overwhelm the user. Make a selection of maximum {nr_of_questions} questions to
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be returned to the user. You ensure both answers and additional questions are bundled into 1 clear communication back
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to the user. Use {language} for your consolidated communication.
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questions (in between triple %) to reach their goals. Ensure the answers are provided, and select a maximum of
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{nr_of_questions} out of the additional questions to be asked in order not to overwhelm the user. The questions are
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in no specific order, so don't just pick the first ones, but the ones most appropriate in your opinion!
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Questions are to be asked when your team proposes questions. You ensure both answers and additional questions are
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bundled into 1 clear communication back to the user. Use {language} for your consolidated communication.
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{custom_description}
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Anwers:
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@@ -1,13 +1,12 @@
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version: "1.0.0"
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name: "SPIN Information Detection"
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task_description: >
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Detect the SPIN-context, taking into account the history of the discussion (in between triple backquotes) with main focus on
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the latest reply (which can contain answers on previously asked questions by the user). Spin elements may already be
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provided in the history. Add or refine these with the new input provided in the latest reply of the end user.
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Complement the historic SPIN context (in between triple backquotes) with information found in the latest reply of the
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end user.
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{custom_description}
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Use the following {tenant_language} to define the SPIN-elements.
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History:
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```{history}```
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Historic SPIN:
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```{historic_spin}```
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Latest reply:
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{query}
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expected_output: >
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@@ -16,8 +15,8 @@ expected_output: >
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- Problem information: a description of the customer's problems uncovering it's challenges and pain points.
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- Implication information: implications of situation / identified problems, i.e. of the consequences of those problems.
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- Need-payoff information: Customer's needs, helping customers realize value of solutions.
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- Additional info: Information that does not fit in the above SPIN-categories, but that can be commercially interesting.
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{custom_expected_output}
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- Additional info: Information that does not fit in the above SPIN-categories, but that can be commercially
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interesting, including if provided: {custom_expected_output}
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metadata:
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author: "Josako"
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date_added: "2025-01-08"
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@@ -1,14 +1,14 @@
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version: "1.0.0"
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name: "SPIN Question Identification"
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task_description: >
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Define, taking into account the history of the discussion (in between triple backquotes) and the latest reply and the
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currently known SPIN-elements, the top questions that need to be asked to understand the full SPIN context
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Revise the final SPIN provided by your colleague, and ensure no information is lost from the histoic SPIN and the
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latest reply from the user. Define the top questions that need to be asked to understand the full SPIN context
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of the customer. If you think this user could be a potential customer, please indicate so.
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{custom_description}
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Use the following {tenant_language} to define the SPIN-elements. If you have a full SPIN context, just skip and don't
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ask for more information or confirmation.
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History:
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```{history}```
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Use the following {tenant_language} to define the SPIN-elements. If you have a satisfying SPIN context, just skip and
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don't ask for more information or confirmation.
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Historic SPIN:
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```{historic_spin}```
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Latest reply:
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{query}
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expected_output: >
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