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After every voice call, Nedzo can automatically analyze the conversation. Configure these features from the Settings tab under Conversation Analysis.

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Success evaluation

Automatically determine whether a call achieved its goal. When enabled, the AI evaluates each completed call and marks it as successful or unsuccessful based on your criteria. You can customize the evaluation prompt to match your specific objectives. Default behavior: Evaluates whether the call met the agent’s stated objectives (e.g., booked a meeting, qualified a lead, resolved an issue). Custom prompt example: “The call is successful if the contact agreed to a follow-up meeting or expressed clear interest in our product.”

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Summary generation

Generate a concise summary of every call. When enabled, each call gets an automatic summary that includes:
  • Key discussion points
  • Outcomes and decisions
  • Action items
  • Any notable details
Summaries appear on the call detail page in your dashboard. You can customize the summary prompt to focus on what matters to your business. Custom prompt example: “Summarize the call focusing on: the contact’s main pain point, any pricing discussed, and the agreed next steps.”

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Call disposition

Automatically classify the outcome of each call into a category. Disposition categories: You can customize the disposition prompt to adjust how calls are classified.

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Data extraction

Extract structured data from conversations automatically. This is useful for pulling out specific information that your team needs.

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Adding extraction fields

  1. Click Add Field under Data Extraction
  2. Configure the field:
  1. The agent extracts this data from every call

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Field types

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Use cases

  • Budget — Extract the contact’s stated budget (Number)
  • Decision timeline — When they plan to make a decision (Text)
  • Has authority — Whether they’re the decision maker (Yes/No)
  • Pain points — Main challenges mentioned (Text)
  • Competitor — Any competitor names mentioned (Text)
Extracted data appears on the call detail page and can be used for filtering and reporting.