Call Details

Bolna ID: dea23ac9-a6de-4c5f-9f7e-cd8f76689251

Phone: +919438639320

From: +918035316264

Status: busy

Processing: COMPLETED

Duration: N/A

Cost: N/A

Hangup Details

Hangup By: Carrier

Reason: Call recipient was busy

Timestamps

Started:
2025-10-13 10:23:12

Ended:
Not set

Last Processed:
2025-10-13 10:38:09

Last Retry At:
2025-10-13 10:38:09

Next Retry Scheduled:
2025-10-13 10:35:02

Next Call Scheduled:
2025-10-13 10:35:02

Call Timeline 18
2025-10-13 10:23:12
CALLBACK_INITIATED MAIN
CALL_SERVICE
₹0.00
Duration: 0.00s
2025-10-13 10:23:14
INITIATED MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-13 10:23:15
RINGING MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-13 10:23:29
BUSY MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-13 10:23:29
MAIN_CALL_FAILED MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {reason=Main call failed with terminal status, status=BUSY}
2025-10-13 10:23:30
RETRY_CREATED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {reason=Main call failed with status: BUSY, attempt_no=1}
2025-10-13 10:29:09
RETRY_STARTED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {attempt_no=1, retry_bolna_id=a091d3d2-fc5f-48d0-b08c-a3b18d52e83a}
2025-10-13 10:30:02
RETRY_FAILED MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {attempt_no=1, status=NO_ANSWER, retry_bolna_id=a091d3d2-fc5f-48d0-b08c-a3b18d52e83a}
2025-10-13 10:30:02
RETRY_CREATED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {reason=Retry failed with status: NO_ANSWER, attempt_no=2}
2025-10-13 10:30:02
NO_ANSWER MAIN
RETRY_ATTEMPT
₹0.00
Duration: 0.00s
Metadata: {attempt_no=1, retry_bolna_id=a091d3d2-fc5f-48d0-b08c-a3b18d52e83a}
2025-10-13 10:35:10
RETRY_STARTED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {attempt_no=2, retry_bolna_id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb}
2025-10-13 10:36:32
RETRY_FAILED MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {attempt_no=2, status=COMPLETED, retry_bolna_id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb}
2025-10-13 10:36:32
RETRY_SUCCESS MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {attempt_no=2, successful_retry_bolna_id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb, reason=Retry attempt succeeded}
2025-10-13 10:36:32
COMPLETED MAIN
RETRY_ATTEMPT
₹0.00
Duration: 0.00s
Metadata: {attempt_no=2, retry_bolna_id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb}
2025-10-13 10:36:38
RETRY_FAILED MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {attempt_no=2, status=COMPLETED, retry_bolna_id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb}
2025-10-13 10:36:38
RETRY_SUCCESS MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {attempt_no=2, successful_retry_bolna_id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb, reason=Retry attempt succeeded}
2025-10-13 10:36:38
COMPLETED MAIN
RETRY_ATTEMPT
₹0.00
Duration: 0.00s
Metadata: {attempt_no=2, retry_bolna_id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb}
2025-10-13 10:38:09
ADDITIONAL_DETAILS_FETCH_SUCCESS MAIN
ADDITIONAL_DETAILS_FETCH_SERVICE
₹0.00
Duration: 0.00s
Metadata: {message=Successfully fetched and saved additional details, timestamp=2025-10-13 10:38:09}
Call History (Raw Callbacks) 11

{created_at_str=2025-10-13 05:05:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, total_cost=9.87, batch_id=null, cost_breakdown={synthesizer=7.43, transcriber=0.764, synthesizer_breakdown={welcome_message=0, conversation=7.43}, llm=0.6769999999999999, transfer_cost=0.0, platform=1.0, transcriber_breakdown={analytics=0, conversation=0.764}, network=0.925, llm_breakdown={analytics=0, summarization=0.009000000000000001, extraction=0, conversation=0.485, hangup=0.183}}, created_at=2025-10-13T05:05:09.911881, scheduled_at=2025-10-13T05:05:09.911846, custom_extractions=null, telephony_data={duration=51.0, to_number=+919438639320, provider_call_id=f3b4a17a-f8b3-468a-82eb-962db344bd17, hosted_telephony=false, recording_url=https://aps1.media.plivo.com/v1/Account/MAZTZJNZBKOWQXMZBIZJ/Recording/90736fa9-3f79-4552-a311-324d61cdd620.mp3, provider=plivo, hangup_provider_code=4000, from_number=+918035316264, call_type=outbound, hangup_by=Callee, hangup_reason=Call recipient hungup}, context_details={recipient_phone_number=+919438639320, 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=dea23ac9-a6de-4c5f-9f7e-cd8f76689251, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that ?
user:  hello
assistant:  Hi! This is Anita from Outspark. Is it a good time to connect with you right now?
user:  yes
assistant:  Great! I see you just checked your resume score with us today. Are you looking for a job change right now or just updating your resume?
user:  no i just updating your resume but basically i want a job change
assistant:  Got it! You have ten years of experience
user:  but the price for that is
assistant:  I’ll share the full offer
user:  high for me that's why i'm not going
assistant:   I understand, but think about how many interviews you could get with a strong, ATS-friendly resume. It’s an investment in your future. What if I told you we have a limited-time discount? Interested to hear more?
user:  no thank you
assistant:   I get it, but missing out
, updated_at=2025-10-13T05:06:38.223295, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:06:38, id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb, campaign_id=null, summary=In the conversation, the agent, Anita from Outspark, reached out to the user to discuss their recent resume score check. The user indicated they were updating their resume but were also looking for a job change. Anita mentioned the high cost of their services, which the user found too expensive. Anita tried to persuade the user by highlighting the potential benefits of a strong resume and offered a limited-time discount, but the user declined the offer. The conversation ended with Anita acknowledging the user's decision., error_message=null, rescheduled_at_str=null, agent_extraction={"asst_T3MUlbYNAcyJN8Sd6SgOdOpc": {"dispositions": {"disposition_1": "Not Interested", "disposition_2": "Price Objection", "disposition_3": "Too Expensive"}}}, transfer_call_data=null, parsedAgentExtraction={asst_T3MUlbYNAcyJN8Sd6SgOdOpc={dispositions={disposition_1=Not Interested, disposition_2=Price Objection, disposition_3=Too Expensive}}}, smart_status=not_interested, conversation_duration=49.9, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=49.79994, provider_connected=false}, transcriber_duration=49.79994, transcriber_model=nova-3, synthesizer_characters=743, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=743, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=97, input=200}, azure_gpt-4_1-mini={output=169, input=11469}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=97, input=200, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=169, input=11469, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup={output=42, input=12220, provider_connected=false, provider=openai, model=gpt-4o-mini}}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-13 05:05:09, status=completed}

{created_at_str=2025-10-13 05:05:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, total_cost=8.87, batch_id=null, cost_breakdown={synthesizer=7.43, transcriber=0.764, synthesizer_breakdown={welcome_message=0, conversation=7.43}, llm=0.6769999999999999, platform=0, transcriber_breakdown={analytics=0, conversation=0.764}, network=0, llm_breakdown={analytics=0, summarization=0.009000000000000001, extraction=0, conversation=0.485, hangup=0.183}}, created_at=2025-10-13T05:05:09.911881, scheduled_at=2025-10-13T05:05:09.911846, custom_extractions=null, telephony_data={duration=0.0, to_number=+919438639320, provider_call_id=f3b4a17a-f8b3-468a-82eb-962db344bd17, hosted_telephony=false, recording_url=, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919438639320, 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=dea23ac9-a6de-4c5f-9f7e-cd8f76689251, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that ?
user:  hello
assistant:  Hi! This is Anita from Outspark. Is it a good time to connect with you right now?
user:  yes
assistant:  Great! I see you just checked your resume score with us today. Are you looking for a job change right now or just updating your resume?
user:  no i just updating your resume but basically i want a job change
assistant:  Got it! You have ten years of experience
user:  but the price for that is
assistant:  I’ll share the full offer
user:  high for me that's why i'm not going
assistant:   I understand, but think about how many interviews you could get with a strong, ATS-friendly resume. It’s an investment in your future. What if I told you we have a limited-time discount? Interested to hear more?
user:  no thank you
assistant:   I get it, but missing out
, updated_at=2025-10-13T05:06:29.07112, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:06:29, id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb, campaign_id=null, summary=In the conversation, the agent, Anita from Outspark, reached out to the user to discuss their recent resume score check. The user indicated they were updating their resume but were also looking for a job change. Anita mentioned the high cost of their services, which the user found too expensive. Anita tried to persuade the user by highlighting the potential benefits of a strong resume and offered a limited-time discount, but the user declined the offer. The conversation ended with Anita acknowledging the user's decision., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=49.9, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=49.79994, provider_connected=false}, transcriber_duration=49.79994, transcriber_model=nova-3, synthesizer_characters=743, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=743, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=97, input=200}, azure_gpt-4_1-mini={output=169, input=11469}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=97, input=200, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=169, input=11469, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup={output=42, input=12220, provider_connected=false, provider=openai, model=gpt-4o-mini}}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-13 05:05:09, status=call-disconnected}

{created_at_str=2025-10-13 05:05:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T05:05:09.911881, scheduled_at=2025-10-13T05:05:09.911846, custom_extractions=null, telephony_data={duration=0.0, to_number=+919438639320, provider_call_id=f3b4a17a-f8b3-468a-82eb-962db344bd17, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919438639320, 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=dea23ac9-a6de-4c5f-9f7e-cd8f76689251, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T05:05:29.652068, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:05:29, id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb, 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=2025-10-13 05:05:09, status=in-progress}

{created_at_str=2025-10-13 05:05:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T05:05:09.911881, scheduled_at=2025-10-13T05:05:09.911846, custom_extractions=null, telephony_data={duration=0.0, to_number=+919438639320, provider_call_id=f3b4a17a-f8b3-468a-82eb-962db344bd17, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919438639320, 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=dea23ac9-a6de-4c5f-9f7e-cd8f76689251, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T05:05:13.727293, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:05:13, id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb, 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=2025-10-13 05:05:09, status=ringing}

{created_at_str=2025-10-13 05:05:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T05:05:09.911881, scheduled_at=2025-10-13T05:05:09.911846, custom_extractions=null, telephony_data={duration=0.0, to_number=+919438639320, provider_call_id=f3b4a17a-f8b3-468a-82eb-962db344bd17, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919438639320, 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=dea23ac9-a6de-4c5f-9f7e-cd8f76689251, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T05:05:12.276297, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:05:12, id=70c95462-5bd5-4b36-80df-cc03a5d2b5cb, 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=2025-10-13 05:05:09, status=initiated}

{created_at_str=2025-10-13 04:59:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T04:59:09.83623, scheduled_at=2025-10-13T04:59:09.836195, custom_extractions=null, telephony_data={duration=0.0, to_number=+919438639320, provider_call_id=f14645dd-6bfe-4f25-9bef-7cc6d17ce4de, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=3020, from_number=+918035316264, call_type=outbound, hangup_by=Carrier, hangup_reason=Call recipient rejected}, context_details={recipient_phone_number=+919438639320, 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=dea23ac9-a6de-4c5f-9f7e-cd8f76689251, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T05:00:01.627669, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:00:01, id=a091d3d2-fc5f-48d0-b08c-a3b18d52e83a, 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=2025-10-13 04:59:09, status=no-answer}

{created_at_str=2025-10-13 04:59:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T04:59:09.83623, scheduled_at=2025-10-13T04:59:09.836195, custom_extractions=null, telephony_data={duration=0.0, to_number=+919438639320, provider_call_id=f14645dd-6bfe-4f25-9bef-7cc6d17ce4de, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919438639320, 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=dea23ac9-a6de-4c5f-9f7e-cd8f76689251, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T04:59:14.004585, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 04:59:14, id=a091d3d2-fc5f-48d0-b08c-a3b18d52e83a, 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=2025-10-13 04:59:09, status=ringing}

{created_at_str=2025-10-13 04:59:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T04:59:09.83623, scheduled_at=2025-10-13T04:59:09.836195, custom_extractions=null, telephony_data={duration=0.0, to_number=+919438639320, provider_call_id=f14645dd-6bfe-4f25-9bef-7cc6d17ce4de, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919438639320, 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=dea23ac9-a6de-4c5f-9f7e-cd8f76689251, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T04:59:11.475354, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 04:59:11, id=a091d3d2-fc5f-48d0-b08c-a3b18d52e83a, 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=2025-10-13 04:59:09, status=initiated}

{created_at_str=2025-10-13 04:53:12, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T04:53:12.678178, scheduled_at=2025-10-13T04:53:12.678144, custom_extractions=null, telephony_data={duration=0.0, to_number=+919438639320, provider_call_id=50b855d9-10a5-41dc-bbb3-d664a294e517, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=3010, from_number=+918035316264, call_type=outbound, hangup_by=Carrier, hangup_reason=Call recipient was busy}, context_details={recipient_phone_number=+919438639320, recipient_data={recipient_phone_number=null, review_completed=2025-10-13 10:12:28, callback_request_id=null, is_callback=null, fullName=MANISHA, resume_review_id=68ec82e49f941c720e7091f3, reviewDetails={overallScore={score=61, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume has a clear layout with sections such as Summary, Experience, Education, and Skills properly compartmentalized for reader understanding. An area for improvement is ensuring that sections like Certifications and Publications are more distinct to stand out effectively., score=68, readability=The resume uses bullet points and headings to enhance readability across sections. To further improve, consider using more white space and consistent bullet point formatting for a cleaner presentation., essentialSectionsPresence=Essential sections like Experience, Education, and Skills are present and effectively structured. However, adding a section for Achievements or Awards could further highlight the candidate’s specific accomplishments., scale=100}, atsReadabilityScore={feedback=The resume includes key information like contact details and recent job roles which enhances ATS compatibility. However, strategic keyword inclusion related to specific job targets can improve ATS performance further., score=65, scale=100, keyElementsReadableByATS=Key details such as name, contact information, and job titles are presented clearly, aiding ATS parsing. Additional enhancement can come from integrating industry-specific jargon and keywords uniformly.}, impact={feedback=While the resume uses bullet points, it lacks quantifiable achievements that effectively demonstrate impact. Strengthening action verbs and including metrics would enhance the overall impact of the resume., score=57, spellCheck=The text appears to be free from major spelling errors, which speaks to the professionalism of the resume. Consistent spell-checking is advised to maintain this standard and ensure clarity and credibility., bulletPointsUsage=The bullet points in the Experience section help organize information, but they tend to be more descriptive rather than action-oriented. Streamlining bullet points with focus on achievements rather than roles will improve effectiveness., weakActionVerbs=Some action verbs used are relatively weak and could benefit from stronger alternatives. For example, instead of 'Participated in academic committees,' a phrase like 'Led key initiatives in academic committees' would convey stronger impact., scale=100, quantifyingImpact=The resume lacks specific numbers or percentages to quantify achievements, missing an opportunity to highlight the candidate’s real-world impact. Including metrics such as 'improved efficiency by 15%' would provide a clearer picture of accomplishments., repetitionAvoidance=There is a moderate repetition of certain action verbs such as 'Conducted' and 'Developed', which could be diversified with synonyms or more varied language. Incorporating distinct verbs would make the content more engaging., accomplishmentLanguage=The language used is often process-oriented rather than result-oriented, focusing more on tasks rather than achievements. Shifting to accomplishment-driven language, like 'Spearheaded initiatives that led to...' would enhance effectiveness.}, crispness={feedback=The resume maintains appropriate length for the candidate's experience level, yet there are extensive bullet points that reduce crispness. Condensing lengthy statements into concise points would improve the absorber of information for the reader., resumeLength=The resume's length is suitable given the candidate's years of experience but could be more concise by focusing on pivotal achievements. Condensing overlapping content can maintain attention and clarity., score=55, bulletPointsCount=With a high number of bullet points, the resume tends to overwhelm rather than inform. Reducing bullet points to emphasize critical achievements would be beneficial., fillerWords=There are occurrences of filler words that dilute the resume’s impact, such as overly descriptive phrases. Stripping unnecessary words will strengthen the focus on key skills and results., bulletPointLength=Some bullet points are too long, potentially obscuring key messages. Creating shorter, punchier bullet points would facilitate easier reading and highlight accomplishments better., scale=100}, qualityAddOn={feedback=The resume avoids heavy reliance on buzzwords, yet some sections could become more specific and free from clichés. Ensuring consistent formatting across all sections, including dates and headings, would enhance the overall professionalism., score=60, buzzwordsCliches=Although there are few buzzwords, avoiding clichés altogether would make the language more direct and authentic. Employing straightforward descriptions strengthens credibility and appeal., datesFormatting=Dates are consistently formatted, helping to maintain the professionalism of the document. However, ensuring clarity in the timeline could reduce any confusion regarding the candidate's career progression., activeVoice=The document predominantly utilizes active voice, contributing to a strong narrative. Consistently using active voice across sections, especially in achievements, reinforces assertiveness and impact., scale=100, personalPronounsUsage=There is no usage of personal pronouns, aligning with accepted resume conventions. This maintains professional tone and focus on the candidate's experiences and results.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T04:53:29.354155, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 04:53:29, id=dea23ac9-a6de-4c5f-9f7e-cd8f76689251, 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=2025-10-13 04:53:12, status=busy}

{created_at_str=2025-10-13 04:53:12, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T04:53:12.678178, scheduled_at=2025-10-13T04:53:12.678144, custom_extractions=null, telephony_data={duration=0.0, to_number=+919438639320, provider_call_id=50b855d9-10a5-41dc-bbb3-d664a294e517, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919438639320, recipient_data={recipient_phone_number=null, review_completed=2025-10-13 10:12:28, callback_request_id=null, is_callback=null, fullName=MANISHA, resume_review_id=68ec82e49f941c720e7091f3, reviewDetails={overallScore={score=61, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume has a clear layout with sections such as Summary, Experience, Education, and Skills properly compartmentalized for reader understanding. An area for improvement is ensuring that sections like Certifications and Publications are more distinct to stand out effectively., score=68, readability=The resume uses bullet points and headings to enhance readability across sections. To further improve, consider using more white space and consistent bullet point formatting for a cleaner presentation., essentialSectionsPresence=Essential sections like Experience, Education, and Skills are present and effectively structured. However, adding a section for Achievements or Awards could further highlight the candidate’s specific accomplishments., scale=100}, atsReadabilityScore={feedback=The resume includes key information like contact details and recent job roles which enhances ATS compatibility. However, strategic keyword inclusion related to specific job targets can improve ATS performance further., score=65, scale=100, keyElementsReadableByATS=Key details such as name, contact information, and job titles are presented clearly, aiding ATS parsing. Additional enhancement can come from integrating industry-specific jargon and keywords uniformly.}, impact={feedback=While the resume uses bullet points, it lacks quantifiable achievements that effectively demonstrate impact. Strengthening action verbs and including metrics would enhance the overall impact of the resume., score=57, spellCheck=The text appears to be free from major spelling errors, which speaks to the professionalism of the resume. Consistent spell-checking is advised to maintain this standard and ensure clarity and credibility., bulletPointsUsage=The bullet points in the Experience section help organize information, but they tend to be more descriptive rather than action-oriented. Streamlining bullet points with focus on achievements rather than roles will improve effectiveness., weakActionVerbs=Some action verbs used are relatively weak and could benefit from stronger alternatives. For example, instead of 'Participated in academic committees,' a phrase like 'Led key initiatives in academic committees' would convey stronger impact., scale=100, quantifyingImpact=The resume lacks specific numbers or percentages to quantify achievements, missing an opportunity to highlight the candidate’s real-world impact. Including metrics such as 'improved efficiency by 15%' would provide a clearer picture of accomplishments., repetitionAvoidance=There is a moderate repetition of certain action verbs such as 'Conducted' and 'Developed', which could be diversified with synonyms or more varied language. Incorporating distinct verbs would make the content more engaging., accomplishmentLanguage=The language used is often process-oriented rather than result-oriented, focusing more on tasks rather than achievements. Shifting to accomplishment-driven language, like 'Spearheaded initiatives that led to...' would enhance effectiveness.}, crispness={feedback=The resume maintains appropriate length for the candidate's experience level, yet there are extensive bullet points that reduce crispness. Condensing lengthy statements into concise points would improve the absorber of information for the reader., resumeLength=The resume's length is suitable given the candidate's years of experience but could be more concise by focusing on pivotal achievements. Condensing overlapping content can maintain attention and clarity., score=55, bulletPointsCount=With a high number of bullet points, the resume tends to overwhelm rather than inform. Reducing bullet points to emphasize critical achievements would be beneficial., fillerWords=There are occurrences of filler words that dilute the resume’s impact, such as overly descriptive phrases. Stripping unnecessary words will strengthen the focus on key skills and results., bulletPointLength=Some bullet points are too long, potentially obscuring key messages. Creating shorter, punchier bullet points would facilitate easier reading and highlight accomplishments better., scale=100}, qualityAddOn={feedback=The resume avoids heavy reliance on buzzwords, yet some sections could become more specific and free from clichés. Ensuring consistent formatting across all sections, including dates and headings, would enhance the overall professionalism., score=60, buzzwordsCliches=Although there are few buzzwords, avoiding clichés altogether would make the language more direct and authentic. Employing straightforward descriptions strengthens credibility and appeal., datesFormatting=Dates are consistently formatted, helping to maintain the professionalism of the document. However, ensuring clarity in the timeline could reduce any confusion regarding the candidate's career progression., activeVoice=The document predominantly utilizes active voice, contributing to a strong narrative. Consistently using active voice across sections, especially in achievements, reinforces assertiveness and impact., scale=100, personalPronounsUsage=There is no usage of personal pronouns, aligning with accepted resume conventions. This maintains professional tone and focus on the candidate's experiences and results.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T04:53:15.334313, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 04:53:15, id=dea23ac9-a6de-4c5f-9f7e-cd8f76689251, 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=2025-10-13 04:53:12, status=ringing}

{created_at_str=2025-10-13 04:53:12, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T04:53:12.678178, scheduled_at=2025-10-13T04:53:12.678144, custom_extractions=null, telephony_data={duration=0.0, to_number=+919438639320, provider_call_id=50b855d9-10a5-41dc-bbb3-d664a294e517, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919438639320, recipient_data={recipient_phone_number=null, review_completed=2025-10-13 10:12:28, callback_request_id=null, is_callback=null, fullName=MANISHA, resume_review_id=68ec82e49f941c720e7091f3, reviewDetails={overallScore={score=61, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume has a clear layout with sections such as Summary, Experience, Education, and Skills properly compartmentalized for reader understanding. An area for improvement is ensuring that sections like Certifications and Publications are more distinct to stand out effectively., score=68, readability=The resume uses bullet points and headings to enhance readability across sections. To further improve, consider using more white space and consistent bullet point formatting for a cleaner presentation., essentialSectionsPresence=Essential sections like Experience, Education, and Skills are present and effectively structured. However, adding a section for Achievements or Awards could further highlight the candidate’s specific accomplishments., scale=100}, atsReadabilityScore={feedback=The resume includes key information like contact details and recent job roles which enhances ATS compatibility. However, strategic keyword inclusion related to specific job targets can improve ATS performance further., score=65, scale=100, keyElementsReadableByATS=Key details such as name, contact information, and job titles are presented clearly, aiding ATS parsing. Additional enhancement can come from integrating industry-specific jargon and keywords uniformly.}, impact={feedback=While the resume uses bullet points, it lacks quantifiable achievements that effectively demonstrate impact. Strengthening action verbs and including metrics would enhance the overall impact of the resume., score=57, spellCheck=The text appears to be free from major spelling errors, which speaks to the professionalism of the resume. Consistent spell-checking is advised to maintain this standard and ensure clarity and credibility., bulletPointsUsage=The bullet points in the Experience section help organize information, but they tend to be more descriptive rather than action-oriented. Streamlining bullet points with focus on achievements rather than roles will improve effectiveness., weakActionVerbs=Some action verbs used are relatively weak and could benefit from stronger alternatives. For example, instead of 'Participated in academic committees,' a phrase like 'Led key initiatives in academic committees' would convey stronger impact., scale=100, quantifyingImpact=The resume lacks specific numbers or percentages to quantify achievements, missing an opportunity to highlight the candidate’s real-world impact. Including metrics such as 'improved efficiency by 15%' would provide a clearer picture of accomplishments., repetitionAvoidance=There is a moderate repetition of certain action verbs such as 'Conducted' and 'Developed', which could be diversified with synonyms or more varied language. Incorporating distinct verbs would make the content more engaging., accomplishmentLanguage=The language used is often process-oriented rather than result-oriented, focusing more on tasks rather than achievements. Shifting to accomplishment-driven language, like 'Spearheaded initiatives that led to...' would enhance effectiveness.}, crispness={feedback=The resume maintains appropriate length for the candidate's experience level, yet there are extensive bullet points that reduce crispness. Condensing lengthy statements into concise points would improve the absorber of information for the reader., resumeLength=The resume's length is suitable given the candidate's years of experience but could be more concise by focusing on pivotal achievements. Condensing overlapping content can maintain attention and clarity., score=55, bulletPointsCount=With a high number of bullet points, the resume tends to overwhelm rather than inform. Reducing bullet points to emphasize critical achievements would be beneficial., fillerWords=There are occurrences of filler words that dilute the resume’s impact, such as overly descriptive phrases. Stripping unnecessary words will strengthen the focus on key skills and results., bulletPointLength=Some bullet points are too long, potentially obscuring key messages. Creating shorter, punchier bullet points would facilitate easier reading and highlight accomplishments better., scale=100}, qualityAddOn={feedback=The resume avoids heavy reliance on buzzwords, yet some sections could become more specific and free from clichés. Ensuring consistent formatting across all sections, including dates and headings, would enhance the overall professionalism., score=60, buzzwordsCliches=Although there are few buzzwords, avoiding clichés altogether would make the language more direct and authentic. Employing straightforward descriptions strengthens credibility and appeal., datesFormatting=Dates are consistently formatted, helping to maintain the professionalism of the document. However, ensuring clarity in the timeline could reduce any confusion regarding the candidate's career progression., activeVoice=The document predominantly utilizes active voice, contributing to a strong narrative. Consistently using active voice across sections, especially in achievements, reinforces assertiveness and impact., scale=100, personalPronounsUsage=There is no usage of personal pronouns, aligning with accepted resume conventions. This maintains professional tone and focus on the candidate's experiences and results.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T04:53:13.870063, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 04:53:13, id=dea23ac9-a6de-4c5f-9f7e-cd8f76689251, 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=2025-10-13 04:53:12, status=initiated}
Context Details
{recipient_phone_number=+919438639320, recipient_data={recipient_phone_number=null, review_completed=2025-10-13 10:12:28, callback_request_id=null, is_callback=null, fullName=MANISHA, resume_review_id=68ec82e49f941c720e7091f3, parentBolnaId=null, attemptType=null}, resume_review_id=null}