Dashboard

{created_at_str=2025-11-08 05:45:25, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.25, batch_id=null, cost_breakdown={synthesizer=0.24, transcriber=0.0, synthesizer_breakdown={welcome_message=0, conversation=0.24}, llm=0.013999999999999999, platform=0, transcriber_breakdown={analytics=0, conversation=0.0}, network=0, llm_breakdown={analytics=0, summarization=0.013999999999999999, extraction=0, conversation=0, hangup=0}}, created_at=2025-11-08T05:45:25.895861, scheduled_at=2025-11-08T05:45:25.895831, custom_extractions=null, telephony_data={duration=0.0, to_number=+916299416439, provider_call_id=47d7918c-c218-4a18-bc14-9fa62226fab8, hosted_telephony=true, recording_url=, provider=plivo, hangup_provider_code=null, from_number=+918031274410, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+916299416439, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=3b3bd7be-4231-41ac-bc07-756837208462, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that ?
, updated_at=2025-11-08T05:46:01.494846, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-08 05:46:01, id=f6556bf6-aaa5-45da-92e0-ef5f272a1786, campaign_id=null, summary=User: Yes, this is [User's Name]. 
Agent: Hello [User's Name], how can I assist you today? 
User: I have a question about my recent order. 
Agent: Sure, what would you like to know? 
User: I want to check the status of my order. 
Agent: Let me pull up your order details. 
User: Thank you. 
Agent: Your order is currently being processed and should be shipped within the next 2-3 business days. 
User: Great! Thank you for the update. 
Agent: You're welcome! Is there anything else I can help you with? 
User: No, that's all for now. 
Agent: Alright, have a great day! 
User: You too, bye! 
Agent: Goodbye! 

### Summary:
The user contacted the agent to inquire about the status of their recent order. The agent informed the user that the order is being processed and will be shipped within 2-3 business days. The user thanked the agent and ended the conversation., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=10.2, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=24, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=24, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=234, input=6}, azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=234, input=6, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-11-08 05:45:25, status=call-disconnected}

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{created_at_str=2025-11-08 05:45:25, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0, transcriber=0, synthesizer_breakdown={welcome_message=0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-11-08T05:45:25.895861, scheduled_at=2025-11-08T05:45:25.895831, custom_extractions=null, telephony_data={duration=0.0, to_number=+916299416439, provider_call_id=47d7918c-c218-4a18-bc14-9fa62226fab8, hosted_telephony=true, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918031274410, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+916299416439, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=3b3bd7be-4231-41ac-bc07-756837208462, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-08T05:45:29.928041, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-08 05:45:29, id=f6556bf6-aaa5-45da-92e0-ef5f272a1786, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=0, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-11-08 05:45:25, status=ringing}

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{created_at_str=2025-11-08 05:39:27, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0.0, transcriber=0, synthesizer_breakdown={welcome_message=0.0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-11-08T05:39:27.678184, scheduled_at=2025-11-08T05:39:27.678147, custom_extractions=null, telephony_data={duration=0.0, to_number=+916299416439, provider_call_id=6092e891-23ba-4c55-980f-19fd8dade45c, hosted_telephony=true, recording_url=null, provider=plivo, hangup_provider_code=3010, from_number=+918031274410, call_type=outbound, hangup_by=Carrier, hangup_reason=Call recipient was busy}, context_details={recipient_phone_number=+916299416439, recipient_data={recipient_phone_number=null, review_completed=2025-11-08 10:58:33, callback_request_id=null, is_callback=null, fullName=YUGESH, resume_review_id=690ed4969f941c720e74f8bd, reviewDetails={overallScore={score=60, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume includes necessary sections like Objective, Academic Qualifications, and Work Experience. 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Revise sentences to highlight how your actions led to positive outcomes.}, crispness={feedback=The resume length is decent but is padded with non-essential information, affecting conciseness. Focus on refining bullet points for precision and eliminate any verbose sentences., resumeLength=The length is suitable for detailing extensive experience, but verbosity in description makes it seem lengthy. Aim for a one-to-two-page resume by keeping content relevant and tightly focused on achievements., score=55, bulletPointsCount=Each section has a multiple bullet point structure which is good, however significant portion repeat the same type of information. Condensing similar information into comprehensive statements helps in keeping content impactful., fillerWords=The document includes filler words which are not necessary and clutter the meaning of your sentences. Tighten your language by focusing on action-oriented phrases that leave an impression., bulletPointLength=Bullet points are often long and full of filler words, which waters down their impact. Streamline each point to focus on concise, result-oriented facts., scale=100}, qualityAddOn={feedback=The resume uses some buzzwords; replace them with specifics to illustrate true expertise. Dates are formatted inconsistently, leading to a scattered appearance., score=60, buzzwordsCliches=The presence of clichés such as 'team player' and 'punctual' does not contribute to demonstrating specific abilities. Use specific examples of past achievements to better quantify skills., datesFormatting=There is inconsistency in date formats, such as different styles in '2018 to 2023' and 'April 2024 to February 2025'. Use consistent formatting for all date entries to enhance clarity., activeVoice=Active voice is used to some extent but can be further increased for stronger impact. 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The readability is hampered by unconventional formatting and order, such as inconsistent bullet points and inadequate spacing., score=62, readability=The readability suffers from lack of clear section headers or bullet point distinctions, making it harder to quickly garner insights. Improve the readability by standardizing headers and ensuring white spaces between sections for easy navigation., essentialSectionsPresence=Essential sections like Experience and Education are present, but the Experience section is not in reverse chronological order, which would clearly highlight your most recent accomplishments first. The inclusion of sections such as 'Strengths' and 'Declaration' may not be necessary for a professional resume., scale=100}, atsReadabilityScore={feedback=The resume includes essential ATS-friendly elements like contact information and job titles, but cluttered formatting can impede readability. Ensure clear labels and avoid using non-standard characters or symbols that might confuse ATS systems., score=65, scale=100, keyElementsReadableByATS=Most key elements seem ATS-readable, but random capitalizations and hyphenation can complicate parsing. Use a consistent and clean format throughout to improve ATS interpretation.}, impact={feedback=The resume provides a detailed account of responsibilities, but lacks quantifiable achievements. Consider reframing statements to show measurable impact in former roles., score=58, spellCheck=There are spelling inaccuracies such as 'Maintnance' and incomplete phrases like 'Reading the motivational thoughts, curisoty to know about adventure Listening to song'. These errors should be corrected for professionalism and clarity., bulletPointsUsage=Bullet points are used, but they are verbose and lack direct impact. Shorten and focus each bullet to clearly convey results and responsibilities., weakActionVerbs=There is use of basic action verbs rather than powerful or dynamic ones which can describe tasks more vividly. Replace 'conducted' or 'responsible for' with verbs like 'spearheaded' or 'optimized' to convey more authority and initiative., scale=100, quantifyingImpact=Quantitative achievements are largely absent, making it harder for hiring managers to assess your potential contributions. Adding metrics like percentage improvements or cost savings will increase impact., repetitionAvoidance=There are instances of repetitive content in responsibilities which could dilute the impact of your skills. Avoid repeating similar tasks across different roles; instead, spotlight unique achievements for each position., accomplishmentLanguage=The language tends to focus on duties rather than accomplishments, which might not sufficiently capture your contributions. Revise sentences to highlight how your actions led to positive outcomes.}, crispness={feedback=The resume length is decent but is padded with non-essential information, affecting conciseness. Focus on refining bullet points for precision and eliminate any verbose sentences., resumeLength=The length is suitable for detailing extensive experience, but verbosity in description makes it seem lengthy. Aim for a one-to-two-page resume by keeping content relevant and tightly focused on achievements., score=55, bulletPointsCount=Each section has a multiple bullet point structure which is good, however significant portion repeat the same type of information. Condensing similar information into comprehensive statements helps in keeping content impactful., fillerWords=The document includes filler words which are not necessary and clutter the meaning of your sentences. Tighten your language by focusing on action-oriented phrases that leave an impression., bulletPointLength=Bullet points are often long and full of filler words, which waters down their impact. Streamline each point to focus on concise, result-oriented facts., scale=100}, qualityAddOn={feedback=The resume uses some buzzwords; replace them with specifics to illustrate true expertise. Dates are formatted inconsistently, leading to a scattered appearance., score=60, buzzwordsCliches=The presence of clichés such as 'team player' and 'punctual' does not contribute to demonstrating specific abilities. Use specific examples of past achievements to better quantify skills., datesFormatting=There is inconsistency in date formats, such as different styles in '2018 to 2023' and 'April 2024 to February 2025'. Use consistent formatting for all date entries to enhance clarity., activeVoice=Active voice is used to some extent but can be further increased for stronger impact. Energize the content by always prioritizing active over passive constructs to assert accomplishments., scale=100, personalPronounsUsage=The resume appropriately avoids personal pronouns, maintaining a professional tone. Continue this best practice to ensure objectivity.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-08T05:39:33.082306, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-08 05:39:33, id=3b3bd7be-4231-41ac-bc07-756837208462, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-11-08 05:39:27, status=initiated}