Call Details

Bolna ID: 856b72ad-f32c-4cff-bd55-fe4bfdf2fc3d

Phone: +919867835436

From: +918035316264

Status: failed

Processing: FAILED

Duration: N/A

Cost: N/A

Hangup Details

Hangup By: Carrier

Reason: Call recipient was busy

Timestamps

Started:
2025-11-02 12:42:25

Ended:
Not set

Last Processed:
Not set

Last Retry At:
Not set

Next Retry Scheduled:
2025-11-02 12:53:56

Next Call Scheduled:
2025-11-02 12:53:56

Call Timeline 14
2025-11-02 12:42:26
CALLBACK_INITIATED MAIN
CALL_SERVICE
₹0.00
Duration: 0.00s
2025-11-02 12:42:30
INITIATED MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-11-02 12:42:31
RINGING MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-11-02 12:42:59
BUSY MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-11-02 12:42:59
MAIN_CALL_FAILED MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {status=BUSY, reason=Main call failed with terminal status}
2025-11-02 12:42:59
RETRY_CREATED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {reason=Main call failed with status: BUSY, attempt_no=1}
2025-11-02 12:48:25
RETRY_STARTED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {attempt_no=1, retry_bolna_id=52586009-b153-4128-b09a-8c0465b2abd1}
2025-11-02 12:48:56
RETRY_FAILED MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {retry_bolna_id=52586009-b153-4128-b09a-8c0465b2abd1, status=BUSY, attempt_no=1}
2025-11-02 12:48:56
RETRY_CREATED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {reason=Retry failed with status: BUSY, attempt_no=2}
2025-11-02 12:48:56
BUSY MAIN
RETRY_ATTEMPT
₹0.00
Duration: 0.00s
Metadata: {attempt_no=1, retry_bolna_id=52586009-b153-4128-b09a-8c0465b2abd1}
2025-11-02 12:54:25
RETRY_STARTED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {attempt_no=2, retry_bolna_id=16bae343-e224-41b9-91e3-29c838b6fabf}
2025-11-02 12:54:55
RETRY_FAILED MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {retry_bolna_id=16bae343-e224-41b9-91e3-29c838b6fabf, status=BUSY, attempt_no=2}
2025-11-02 12:54:55
FAILED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {reason=All retry attempts exhausted, total_retries=2}
2025-11-02 12:54:55
BUSY MAIN
RETRY_ATTEMPT
₹0.00
Duration: 0.00s
Metadata: {attempt_no=2, retry_bolna_id=16bae343-e224-41b9-91e3-29c838b6fabf}
Call History (Raw Callbacks) 9

{created_at_str=2025-11-02 07:24:25, 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=2025-11-02T07:24:25.443609, scheduled_at=2025-11-02T07:24:25.443567, custom_extractions=null, telephony_data={duration=0.0, to_number=+919867835436, provider_call_id=9fe79ee2-d3fa-42a8-8fa2-188e01e9ec6b, 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=+919867835436, 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=856b72ad-f32c-4cff-bd55-fe4bfdf2fc3d, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-02T07:24:55.314584, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-02 07:24:55, id=16bae343-e224-41b9-91e3-29c838b6fabf, 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=2025-11-02 07:24:25, status=busy}

{created_at_str=2025-11-02 07:24:25, 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=2025-11-02T07:24:25.443609, scheduled_at=2025-11-02T07:24:25.443567, custom_extractions=null, telephony_data={duration=0.0, to_number=+919867835436, provider_call_id=9fe79ee2-d3fa-42a8-8fa2-188e01e9ec6b, 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=+919867835436, 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=856b72ad-f32c-4cff-bd55-fe4bfdf2fc3d, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-02T07:24:31.150971, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-02 07:24:31, id=16bae343-e224-41b9-91e3-29c838b6fabf, 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=2025-11-02 07:24:25, status=ringing}

{created_at_str=2025-11-02 07:24:25, 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=2025-11-02T07:24:25.443609, scheduled_at=2025-11-02T07:24:25.443567, custom_extractions=null, telephony_data={duration=0.0, to_number=+919867835436, provider_call_id=9fe79ee2-d3fa-42a8-8fa2-188e01e9ec6b, 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=+919867835436, 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=856b72ad-f32c-4cff-bd55-fe4bfdf2fc3d, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-02T07:24:29.677677, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-02 07:24:29, id=16bae343-e224-41b9-91e3-29c838b6fabf, 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=2025-11-02 07:24:25, status=initiated}

{created_at_str=2025-11-02 07:18:25, 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=2025-11-02T07:18:25.27533, scheduled_at=2025-11-02T07:18:25.275288, custom_extractions=null, telephony_data={duration=0.0, to_number=+919867835436, provider_call_id=d4cbab4b-c5be-40a0-a933-51cdea9fa55d, 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=+919867835436, 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=856b72ad-f32c-4cff-bd55-fe4bfdf2fc3d, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-02T07:18:55.939581, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-02 07:18:55, id=52586009-b153-4128-b09a-8c0465b2abd1, 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=2025-11-02 07:18:25, status=busy}

{created_at_str=2025-11-02 07:18:25, 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=2025-11-02T07:18:25.27533, scheduled_at=2025-11-02T07:18:25.275288, custom_extractions=null, telephony_data={duration=0.0, to_number=+919867835436, provider_call_id=d4cbab4b-c5be-40a0-a933-51cdea9fa55d, 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=+919867835436, 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=856b72ad-f32c-4cff-bd55-fe4bfdf2fc3d, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-02T07:18:30.500623, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-02 07:18:30, id=52586009-b153-4128-b09a-8c0465b2abd1, 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=2025-11-02 07:18:25, status=ringing}

{created_at_str=2025-11-02 07:18:25, 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=2025-11-02T07:18:25.27533, scheduled_at=2025-11-02T07:18:25.275288, custom_extractions=null, telephony_data={duration=0.0, to_number=+919867835436, provider_call_id=d4cbab4b-c5be-40a0-a933-51cdea9fa55d, 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=+919867835436, 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=856b72ad-f32c-4cff-bd55-fe4bfdf2fc3d, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-02T07:18:29.083374, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-02 07:18:29, id=52586009-b153-4128-b09a-8c0465b2abd1, 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=2025-11-02 07:18:25, status=initiated}

{created_at_str=2025-11-02 07:12:26, 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=2025-11-02T07:12:26.501142, scheduled_at=2025-11-02T07:12:26.501107, custom_extractions=null, telephony_data={duration=0.0, to_number=+919867835436, provider_call_id=e15f31f4-828e-4b9f-9219-70c687fefa67, 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=+919867835436, recipient_data={recipient_phone_number=null, review_completed=2025-11-02 12:31:49, callback_request_id=null, is_callback=null, fullName=Akshay, resume_review_id=690701b218c34103789122ea, reviewDetails={overallScore={score=62.8, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume includes all essential sections such as Professional Summary, Experience, and Education, ensuring the main details are present. However, it could improve the sequence, as the Employment History is not in reverse chronological order, which could confuse the reader., score=65, readability=The reading flow is interrupted due to inconsistent formatting, especially with date placements and bullet alignment. Refining these elements will enhance overall readability and professionalism., essentialSectionsPresence=While the Professional Summary sets a good stage, the resume lacks a section clearly dedicated to listing certifications or achievements. Including these sections can bolster credibility., scale=100}, atsReadabilityScore={feedback=The resume is generally well-structured for ATS integration but lacks some keyword optimization, particularly specific to roles applied for., score=65, scale=100, keyElementsReadableByATS=Most key elements such as the name, contact info, and roles are clear and can be scanned by ATS systems. Slight improvements in label clarity and keyword inclusion would further benefit the resume.}, impact={feedback=Bullet points are extensively used, but some points could benefit from stronger action verbs and more specific language. Quantifying achievements will significantly enhance the impact of the resume., score=62, spellCheck=The resume appears to be free of spelling mistakes, which is a strong point for the candidate's attention to detail., bulletPointsUsage=The usage of bullet points helps in breaking down roles and responsibilities neatly. However, certain bullet points can be shorter and more to the point, eliminating vague terms., weakActionVerbs=Some entries use weaker action verbs that diminish the perceived impact. Replacing them with stronger, more powerful verbs can significantly enhance the narrative., scale=100, quantifyingImpact=Although some achievements have been quantified, such as 'Achieved a monthly business revenue of Rs. 2 Cr', many could still use figures to clearly demonstrate impact., repetitionAvoidance=There is some repetition of roles and responsibilities across different positions. It's advisable to diversify language and highlight unique achievements in each role., accomplishmentLanguage=While some parts convey accomplishment, others still describe roles too passively. Revisiting bullet points to refocus them from duties to accomplishments is recommended.}, crispness={feedback=The resume is moderately concise but can be improved by cutting down overly lengthy bullet points. There is minimal fluff, but concise language would enhance overall sharpness., resumeLength=The length of the resume is slightly more than average for the experience level, mainly due to repetitive entries. Reducing content redundancy can make it more impactful., score=58, bulletPointsCount=The count of bullet points per section is appropriate, but simplifying and shortening them can focus the reader's attention on key points., fillerWords=While filler words are not abundant, there are some unnecessary phrases that could be trimmed down for a cleaner presentation., bulletPointLength=Some bullet points are overly verbose, which can be overwhelming. Using simpler sentences can improve reader engagement and effectiveness., scale=100}, qualityAddOn={feedback=The resume avoids overuse of buzzwords, but certain areas still fall into generic language traps. A consistent style is maintained, however, consistency in dates could be improved., score=64, buzzwordsCliches=The document uses a few buzzwords like 'cross-functional' which might seem clichéd. Replacing them with more personalized language could add freshness., datesFormatting=Dates are inconsistently formatted, sometimes leading to confusion. Aligning dates consistently across all sections will improve readability and professionalism., activeVoice=The active voice is used but can be more pronounced in several points, which would improve the directness and impact of the statements., scale=100, personalPronounsUsage=There is no use of personal pronouns, which is appropriate for maintaining a formal tone. This style aligns well with professional standards.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-02T07:12:59.123076, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-02 07:12:59, id=856b72ad-f32c-4cff-bd55-fe4bfdf2fc3d, 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=2025-11-02 07:12:26, status=busy}

{created_at_str=2025-11-02 07:12:26, 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=2025-11-02T07:12:26.501142, scheduled_at=2025-11-02T07:12:26.501107, custom_extractions=null, telephony_data={duration=0.0, to_number=+919867835436, provider_call_id=e15f31f4-828e-4b9f-9219-70c687fefa67, 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=+919867835436, recipient_data={recipient_phone_number=null, review_completed=2025-11-02 12:31:49, callback_request_id=null, is_callback=null, fullName=Akshay, resume_review_id=690701b218c34103789122ea, reviewDetails={overallScore={score=62.8, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume includes all essential sections such as Professional Summary, Experience, and Education, ensuring the main details are present. However, it could improve the sequence, as the Employment History is not in reverse chronological order, which could confuse the reader., score=65, readability=The reading flow is interrupted due to inconsistent formatting, especially with date placements and bullet alignment. Refining these elements will enhance overall readability and professionalism., essentialSectionsPresence=While the Professional Summary sets a good stage, the resume lacks a section clearly dedicated to listing certifications or achievements. Including these sections can bolster credibility., scale=100}, atsReadabilityScore={feedback=The resume is generally well-structured for ATS integration but lacks some keyword optimization, particularly specific to roles applied for., score=65, scale=100, keyElementsReadableByATS=Most key elements such as the name, contact info, and roles are clear and can be scanned by ATS systems. Slight improvements in label clarity and keyword inclusion would further benefit the resume.}, impact={feedback=Bullet points are extensively used, but some points could benefit from stronger action verbs and more specific language. Quantifying achievements will significantly enhance the impact of the resume., score=62, spellCheck=The resume appears to be free of spelling mistakes, which is a strong point for the candidate's attention to detail., bulletPointsUsage=The usage of bullet points helps in breaking down roles and responsibilities neatly. However, certain bullet points can be shorter and more to the point, eliminating vague terms., weakActionVerbs=Some entries use weaker action verbs that diminish the perceived impact. Replacing them with stronger, more powerful verbs can significantly enhance the narrative., scale=100, quantifyingImpact=Although some achievements have been quantified, such as 'Achieved a monthly business revenue of Rs. 2 Cr', many could still use figures to clearly demonstrate impact., repetitionAvoidance=There is some repetition of roles and responsibilities across different positions. It's advisable to diversify language and highlight unique achievements in each role., accomplishmentLanguage=While some parts convey accomplishment, others still describe roles too passively. Revisiting bullet points to refocus them from duties to accomplishments is recommended.}, crispness={feedback=The resume is moderately concise but can be improved by cutting down overly lengthy bullet points. There is minimal fluff, but concise language would enhance overall sharpness., resumeLength=The length of the resume is slightly more than average for the experience level, mainly due to repetitive entries. Reducing content redundancy can make it more impactful., score=58, bulletPointsCount=The count of bullet points per section is appropriate, but simplifying and shortening them can focus the reader's attention on key points., fillerWords=While filler words are not abundant, there are some unnecessary phrases that could be trimmed down for a cleaner presentation., bulletPointLength=Some bullet points are overly verbose, which can be overwhelming. Using simpler sentences can improve reader engagement and effectiveness., scale=100}, qualityAddOn={feedback=The resume avoids overuse of buzzwords, but certain areas still fall into generic language traps. A consistent style is maintained, however, consistency in dates could be improved., score=64, buzzwordsCliches=The document uses a few buzzwords like 'cross-functional' which might seem clichéd. Replacing them with more personalized language could add freshness., datesFormatting=Dates are inconsistently formatted, sometimes leading to confusion. Aligning dates consistently across all sections will improve readability and professionalism., activeVoice=The active voice is used but can be more pronounced in several points, which would improve the directness and impact of the statements., scale=100, personalPronounsUsage=There is no use of personal pronouns, which is appropriate for maintaining a formal tone. This style aligns well with professional standards.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-02T07:12:31.919952, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-02 07:12:31, id=856b72ad-f32c-4cff-bd55-fe4bfdf2fc3d, 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=2025-11-02 07:12:26, status=ringing}

{created_at_str=2025-11-02 07:12:26, 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=2025-11-02T07:12:26.501142, scheduled_at=2025-11-02T07:12:26.501107, custom_extractions=null, telephony_data={duration=0.0, to_number=+919867835436, provider_call_id=e15f31f4-828e-4b9f-9219-70c687fefa67, 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=+919867835436, recipient_data={recipient_phone_number=null, review_completed=2025-11-02 12:31:49, callback_request_id=null, is_callback=null, fullName=Akshay, resume_review_id=690701b218c34103789122ea, reviewDetails={overallScore={score=62.8, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume includes all essential sections such as Professional Summary, Experience, and Education, ensuring the main details are present. However, it could improve the sequence, as the Employment History is not in reverse chronological order, which could confuse the reader., score=65, readability=The reading flow is interrupted due to inconsistent formatting, especially with date placements and bullet alignment. Refining these elements will enhance overall readability and professionalism., essentialSectionsPresence=While the Professional Summary sets a good stage, the resume lacks a section clearly dedicated to listing certifications or achievements. Including these sections can bolster credibility., scale=100}, atsReadabilityScore={feedback=The resume is generally well-structured for ATS integration but lacks some keyword optimization, particularly specific to roles applied for., score=65, scale=100, keyElementsReadableByATS=Most key elements such as the name, contact info, and roles are clear and can be scanned by ATS systems. Slight improvements in label clarity and keyword inclusion would further benefit the resume.}, impact={feedback=Bullet points are extensively used, but some points could benefit from stronger action verbs and more specific language. Quantifying achievements will significantly enhance the impact of the resume., score=62, spellCheck=The resume appears to be free of spelling mistakes, which is a strong point for the candidate's attention to detail., bulletPointsUsage=The usage of bullet points helps in breaking down roles and responsibilities neatly. However, certain bullet points can be shorter and more to the point, eliminating vague terms., weakActionVerbs=Some entries use weaker action verbs that diminish the perceived impact. Replacing them with stronger, more powerful verbs can significantly enhance the narrative., scale=100, quantifyingImpact=Although some achievements have been quantified, such as 'Achieved a monthly business revenue of Rs. 2 Cr', many could still use figures to clearly demonstrate impact., repetitionAvoidance=There is some repetition of roles and responsibilities across different positions. It's advisable to diversify language and highlight unique achievements in each role., accomplishmentLanguage=While some parts convey accomplishment, others still describe roles too passively. Revisiting bullet points to refocus them from duties to accomplishments is recommended.}, crispness={feedback=The resume is moderately concise but can be improved by cutting down overly lengthy bullet points. There is minimal fluff, but concise language would enhance overall sharpness., resumeLength=The length of the resume is slightly more than average for the experience level, mainly due to repetitive entries. Reducing content redundancy can make it more impactful., score=58, bulletPointsCount=The count of bullet points per section is appropriate, but simplifying and shortening them can focus the reader's attention on key points., fillerWords=While filler words are not abundant, there are some unnecessary phrases that could be trimmed down for a cleaner presentation., bulletPointLength=Some bullet points are overly verbose, which can be overwhelming. Using simpler sentences can improve reader engagement and effectiveness., scale=100}, qualityAddOn={feedback=The resume avoids overuse of buzzwords, but certain areas still fall into generic language traps. A consistent style is maintained, however, consistency in dates could be improved., score=64, buzzwordsCliches=The document uses a few buzzwords like 'cross-functional' which might seem clichéd. Replacing them with more personalized language could add freshness., datesFormatting=Dates are inconsistently formatted, sometimes leading to confusion. Aligning dates consistently across all sections will improve readability and professionalism., activeVoice=The active voice is used but can be more pronounced in several points, which would improve the directness and impact of the statements., scale=100, personalPronounsUsage=There is no use of personal pronouns, which is appropriate for maintaining a formal tone. This style aligns well with professional standards.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-02T07:12:30.782764, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-02 07:12:30, id=856b72ad-f32c-4cff-bd55-fe4bfdf2fc3d, 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=2025-11-02 07:12:26, status=initiated}