Call Details
Bolna ID:
16193f44-360f-4a50-add3-e043d8af4bf9
Phone: +918989462829
From: +918035316264
Status: failed
Processing: FAILED
Duration: N/A
Cost: N/A
Hangup Details
Hangup By: Carrier
Reason: Call recipient was busy
Timestamps
Started:
2025-10-17 14:37:38
Ended:
Not set
Last Processed:
Not set
Last Retry At:
Not set
Next Retry Scheduled:
2025-10-17 14:49:01
Next Call Scheduled:
2025-10-17 14:49:01
Call Timeline 14
Call History (Raw Callbacks) 9
{created_at_str=2025-10-17 09:19:03, 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=2025-10-17T09:19:03.656017, scheduled_at=2025-10-17T09:19:03.655981, custom_extractions=null, telephony_data={duration=0.0, to_number=+918989462829, provider_call_id=a83f909e-f5e3-4a03-af9a-3212c8eb1d54, 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=+918989462829, 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=16193f44-360f-4a50-add3-e043d8af4bf9, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-17T09:19:24.547744, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-17 09:19:24, id=282cfe10-c25d-4b06-ba7f-d60169160271, 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=2025-10-17 09:19:03, status=busy}
{created_at_str=2025-10-17 09:19:03, 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=2025-10-17T09:19:03.656017, scheduled_at=2025-10-17T09:19:03.655981, custom_extractions=null, telephony_data={duration=0.0, to_number=+918989462829, provider_call_id=a83f909e-f5e3-4a03-af9a-3212c8eb1d54, 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=+918989462829, 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=16193f44-360f-4a50-add3-e043d8af4bf9, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-17T09:19:05.39441, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-17 09:19:05, id=282cfe10-c25d-4b06-ba7f-d60169160271, 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=2025-10-17 09:19:03, status=ringing}
{created_at_str=2025-10-17 09:19:03, 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=2025-10-17T09:19:03.656017, scheduled_at=2025-10-17T09:19:03.655981, custom_extractions=null, telephony_data={duration=0.0, to_number=+918989462829, provider_call_id=a83f909e-f5e3-4a03-af9a-3212c8eb1d54, 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=+918989462829, 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=16193f44-360f-4a50-add3-e043d8af4bf9, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-17T09:19:04.25921, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-17 09:19:04, id=282cfe10-c25d-4b06-ba7f-d60169160271, 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=2025-10-17 09:19:03, status=initiated}
{created_at_str=2025-10-17 09:13:39, 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=2025-10-17T09:13:39.912152, scheduled_at=2025-10-17T09:13:39.912115, custom_extractions=null, telephony_data={duration=0.0, to_number=+918989462829, provider_call_id=c30bf1bd-e87f-4ecb-86a3-026b46aa4b5a, 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=+918989462829, 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=16193f44-360f-4a50-add3-e043d8af4bf9, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-17T09:14:00.43884, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-17 09:14:00, id=13ddd597-cd66-4f23-83f3-fdfb2f71cf6d, 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=2025-10-17 09:13:39, status=busy}
{created_at_str=2025-10-17 09:13:39, 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=2025-10-17T09:13:39.912152, scheduled_at=2025-10-17T09:13:39.912115, custom_extractions=null, telephony_data={duration=0.0, to_number=+918989462829, provider_call_id=c30bf1bd-e87f-4ecb-86a3-026b46aa4b5a, 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=+918989462829, 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=16193f44-360f-4a50-add3-e043d8af4bf9, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-17T09:13:41.783906, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-17 09:13:41, id=13ddd597-cd66-4f23-83f3-fdfb2f71cf6d, 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=2025-10-17 09:13:39, status=ringing}
{created_at_str=2025-10-17 09:13:39, 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=2025-10-17T09:13:39.912152, scheduled_at=2025-10-17T09:13:39.912115, custom_extractions=null, telephony_data={duration=0.0, to_number=+918989462829, provider_call_id=c30bf1bd-e87f-4ecb-86a3-026b46aa4b5a, 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=+918989462829, 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=16193f44-360f-4a50-add3-e043d8af4bf9, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-17T09:13:40.679178, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-17 09:13:40, id=13ddd597-cd66-4f23-83f3-fdfb2f71cf6d, 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=2025-10-17 09:13:39, status=initiated}
{created_at_str=2025-10-17 09:07:39, 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=2025-10-17T09:07:39.907134, scheduled_at=2025-10-17T09:07:39.907107, custom_extractions=null, telephony_data={duration=0.0, to_number=+918989462829, provider_call_id=a131b0d5-876a-444f-a828-181279daf910, 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=+918989462829, recipient_data={recipient_phone_number=null, review_completed=2025-10-17 14:27:22, callback_request_id=null, is_callback=null, fullName=Saloni, resume_review_id=68f204bd18c34103788ea5b6, reviewDetails={overallScore={score=62.6, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume features a clear layout with key sections such as Professional Summary, Skills, and Experience prominently displayed. However, slight tweaks in section order might enhance the visual hierarchy and make crucial information more immediately accessible., score=67, readability=The text is mostly clear and easy to understand, thanks to the use of bullet points and section headings. Adding a bit more spacing between sections could further enhance readability, reducing visual clutter and aiding quick information retrieval., essentialSectionsPresence=Educational and experience sections are adequately presented, covering both the chronology and relevant details of past roles. However, for improved impact, include specific 'Projects' or 'Achievements' sections to further demonstrate practical experience., scale=100}, atsReadabilityScore={feedback=Keywords relevant to the Magento development role are well incorporated, improving ATS searchability. However, making sure that section headers are standard and universally recognized can further enhance ATS compliance., score=64, scale=100, keyElementsReadableByATS=The resume effectively includes structured personal and role information, facilitating easy parsing by ATS. Ensuring every element like company names and roles are accurately labeled is crucial for optimization.}, impact={feedback=Impact is moderately well communicated with specific examples of work accomplished. However, the lack of quantifiable results or metrics in the accomplishments is a missed opportunity for emphasizing success., score=62, spellCheck=The document is clear of major spelling errors, which preserves professionalism. A quick proofread for minor typographical errors or inconsistencies in capitalization can ensure a flawless presentation., bulletPointsUsage=Bullet points are effectively used to break down information into digestible pieces, which aids in readability. However, further segmentation of bullet points with clear outcomes and metrics would improve clarity and impact., weakActionVerbs=The resume occasionally employs weak action verbs, which reduce the impact of achievements. Stronger verbs should replace weaker ones to better convey the candidate's proactive contributions., scale=100, quantifyingImpact=The resume currently lacks strong quantification, missing specific metrics or outcomes that illustrate success (e.g., 'increased sales by 15%'). Incorporating such data would better demonstrate the candidate's ability to achieve tangible results., repetitionAvoidance=Overall, repetition is minimal, which aids in maintaining reader engagement. More diverse action verbs could further enhance the dynamic quality of the resume, keeping it fresh and engaging throughout., accomplishmentLanguage=Achievements could benefit from more accomplishment-oriented language that highlights benefits derived from the candidate’s actions. Developing narrative focus on results rather than just responsibilities will improve the depth of impact.}, crispness={feedback=While the resume is not excessively long, there is potential for tightening the content presented. Reducing unnecessary details in bullet points could improve crispness and the resume's overall impact., resumeLength=The resume is appropriately two pages long, which is suitable given the breadth of experience, but can be reduced with more concise phrasing. Striving for a single page could ensure key highlights are not overlooked., score=58, bulletPointsCount=A higher count of bullet points might be overwhelming; streamlining them to include only the most critical achievements would enhance focus. Prioritizing the most impactful points will also avoid reader fatigue., fillerWords=There is a moderate use of filler words which could be trimmed. Removing such extraneous verbiage would contribute to a clearer and stronger portrayal of skills and experiences., bulletPointLength=Some bullet points are lengthy and could be condensed for a sharper impact. Avoiding redundancy and using precise language can enhance the effectiveness of each statement., scale=100}, qualityAddOn={feedback=Stylistic elements are moderately well adhered to, but improvements could enhance the professional tone. Avoiding certain business clichés and ensuring a uniform date format are worthwhile considerations., score=62, buzzwordsCliches=Buzzwords and clichés are somewhat present and should be minimized in favor of specific, relevant terminology. Phrasing like 'dynamic team player' could be substituted with concrete examples of collaboration or team leadership., datesFormatting=Most of the date ranges are formatted consistently; however, ensuring uniformity across all sections would be beneficial. Consistency in chronological representation adds to the user's trust in document accuracy., activeVoice=Active voice is generally well maintained throughout the document, keeping content engaging and direct. Occasionally, shifting passive phrases to active voice can further reinforce this dynamic engagement., scale=100, personalPronounsUsage=The resume effectively avoids the use of personal pronouns, presenting information in a professional third-person format. This stance helps maintain a level of professionalism and objectivity.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-17T09:08:12.758503, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-17 09:08:12, id=16193f44-360f-4a50-add3-e043d8af4bf9, 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=2025-10-17 09:07:39, status=busy}
{created_at_str=2025-10-17 09:07:39, 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=2025-10-17T09:07:39.907134, scheduled_at=2025-10-17T09:07:39.907107, custom_extractions=null, telephony_data={duration=0.0, to_number=+918989462829, provider_call_id=a131b0d5-876a-444f-a828-181279daf910, 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=+918989462829, recipient_data={recipient_phone_number=null, review_completed=2025-10-17 14:27:22, callback_request_id=null, is_callback=null, fullName=Saloni, resume_review_id=68f204bd18c34103788ea5b6, reviewDetails={overallScore={score=62.6, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume features a clear layout with key sections such as Professional Summary, Skills, and Experience prominently displayed. However, slight tweaks in section order might enhance the visual hierarchy and make crucial information more immediately accessible., score=67, readability=The text is mostly clear and easy to understand, thanks to the use of bullet points and section headings. Adding a bit more spacing between sections could further enhance readability, reducing visual clutter and aiding quick information retrieval., essentialSectionsPresence=Educational and experience sections are adequately presented, covering both the chronology and relevant details of past roles. However, for improved impact, include specific 'Projects' or 'Achievements' sections to further demonstrate practical experience., scale=100}, atsReadabilityScore={feedback=Keywords relevant to the Magento development role are well incorporated, improving ATS searchability. However, making sure that section headers are standard and universally recognized can further enhance ATS compliance., score=64, scale=100, keyElementsReadableByATS=The resume effectively includes structured personal and role information, facilitating easy parsing by ATS. Ensuring every element like company names and roles are accurately labeled is crucial for optimization.}, impact={feedback=Impact is moderately well communicated with specific examples of work accomplished. However, the lack of quantifiable results or metrics in the accomplishments is a missed opportunity for emphasizing success., score=62, spellCheck=The document is clear of major spelling errors, which preserves professionalism. A quick proofread for minor typographical errors or inconsistencies in capitalization can ensure a flawless presentation., bulletPointsUsage=Bullet points are effectively used to break down information into digestible pieces, which aids in readability. However, further segmentation of bullet points with clear outcomes and metrics would improve clarity and impact., weakActionVerbs=The resume occasionally employs weak action verbs, which reduce the impact of achievements. Stronger verbs should replace weaker ones to better convey the candidate's proactive contributions., scale=100, quantifyingImpact=The resume currently lacks strong quantification, missing specific metrics or outcomes that illustrate success (e.g., 'increased sales by 15%'). Incorporating such data would better demonstrate the candidate's ability to achieve tangible results., repetitionAvoidance=Overall, repetition is minimal, which aids in maintaining reader engagement. More diverse action verbs could further enhance the dynamic quality of the resume, keeping it fresh and engaging throughout., accomplishmentLanguage=Achievements could benefit from more accomplishment-oriented language that highlights benefits derived from the candidate’s actions. Developing narrative focus on results rather than just responsibilities will improve the depth of impact.}, crispness={feedback=While the resume is not excessively long, there is potential for tightening the content presented. Reducing unnecessary details in bullet points could improve crispness and the resume's overall impact., resumeLength=The resume is appropriately two pages long, which is suitable given the breadth of experience, but can be reduced with more concise phrasing. Striving for a single page could ensure key highlights are not overlooked., score=58, bulletPointsCount=A higher count of bullet points might be overwhelming; streamlining them to include only the most critical achievements would enhance focus. Prioritizing the most impactful points will also avoid reader fatigue., fillerWords=There is a moderate use of filler words which could be trimmed. Removing such extraneous verbiage would contribute to a clearer and stronger portrayal of skills and experiences., bulletPointLength=Some bullet points are lengthy and could be condensed for a sharper impact. Avoiding redundancy and using precise language can enhance the effectiveness of each statement., scale=100}, qualityAddOn={feedback=Stylistic elements are moderately well adhered to, but improvements could enhance the professional tone. Avoiding certain business clichés and ensuring a uniform date format are worthwhile considerations., score=62, buzzwordsCliches=Buzzwords and clichés are somewhat present and should be minimized in favor of specific, relevant terminology. Phrasing like 'dynamic team player' could be substituted with concrete examples of collaboration or team leadership., datesFormatting=Most of the date ranges are formatted consistently; however, ensuring uniformity across all sections would be beneficial. Consistency in chronological representation adds to the user's trust in document accuracy., activeVoice=Active voice is generally well maintained throughout the document, keeping content engaging and direct. Occasionally, shifting passive phrases to active voice can further reinforce this dynamic engagement., scale=100, personalPronounsUsage=The resume effectively avoids the use of personal pronouns, presenting information in a professional third-person format. This stance helps maintain a level of professionalism and objectivity.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-17T09:07:42.529538, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-17 09:07:42, id=16193f44-360f-4a50-add3-e043d8af4bf9, 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=2025-10-17 09:07:39, status=ringing}
{created_at_str=2025-10-17 09:07:39, 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=2025-10-17T09:07:39.907134, scheduled_at=2025-10-17T09:07:39.907107, custom_extractions=null, telephony_data={duration=0.0, to_number=+918989462829, provider_call_id=a131b0d5-876a-444f-a828-181279daf910, 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=+918989462829, recipient_data={recipient_phone_number=null, review_completed=2025-10-17 14:27:22, callback_request_id=null, is_callback=null, fullName=Saloni, resume_review_id=68f204bd18c34103788ea5b6, reviewDetails={overallScore={score=62.6, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume features a clear layout with key sections such as Professional Summary, Skills, and Experience prominently displayed. However, slight tweaks in section order might enhance the visual hierarchy and make crucial information more immediately accessible., score=67, readability=The text is mostly clear and easy to understand, thanks to the use of bullet points and section headings. Adding a bit more spacing between sections could further enhance readability, reducing visual clutter and aiding quick information retrieval., essentialSectionsPresence=Educational and experience sections are adequately presented, covering both the chronology and relevant details of past roles. However, for improved impact, include specific 'Projects' or 'Achievements' sections to further demonstrate practical experience., scale=100}, atsReadabilityScore={feedback=Keywords relevant to the Magento development role are well incorporated, improving ATS searchability. However, making sure that section headers are standard and universally recognized can further enhance ATS compliance., score=64, scale=100, keyElementsReadableByATS=The resume effectively includes structured personal and role information, facilitating easy parsing by ATS. Ensuring every element like company names and roles are accurately labeled is crucial for optimization.}, impact={feedback=Impact is moderately well communicated with specific examples of work accomplished. However, the lack of quantifiable results or metrics in the accomplishments is a missed opportunity for emphasizing success., score=62, spellCheck=The document is clear of major spelling errors, which preserves professionalism. A quick proofread for minor typographical errors or inconsistencies in capitalization can ensure a flawless presentation., bulletPointsUsage=Bullet points are effectively used to break down information into digestible pieces, which aids in readability. However, further segmentation of bullet points with clear outcomes and metrics would improve clarity and impact., weakActionVerbs=The resume occasionally employs weak action verbs, which reduce the impact of achievements. Stronger verbs should replace weaker ones to better convey the candidate's proactive contributions., scale=100, quantifyingImpact=The resume currently lacks strong quantification, missing specific metrics or outcomes that illustrate success (e.g., 'increased sales by 15%'). Incorporating such data would better demonstrate the candidate's ability to achieve tangible results., repetitionAvoidance=Overall, repetition is minimal, which aids in maintaining reader engagement. More diverse action verbs could further enhance the dynamic quality of the resume, keeping it fresh and engaging throughout., accomplishmentLanguage=Achievements could benefit from more accomplishment-oriented language that highlights benefits derived from the candidate’s actions. Developing narrative focus on results rather than just responsibilities will improve the depth of impact.}, crispness={feedback=While the resume is not excessively long, there is potential for tightening the content presented. Reducing unnecessary details in bullet points could improve crispness and the resume's overall impact., resumeLength=The resume is appropriately two pages long, which is suitable given the breadth of experience, but can be reduced with more concise phrasing. Striving for a single page could ensure key highlights are not overlooked., score=58, bulletPointsCount=A higher count of bullet points might be overwhelming; streamlining them to include only the most critical achievements would enhance focus. Prioritizing the most impactful points will also avoid reader fatigue., fillerWords=There is a moderate use of filler words which could be trimmed. Removing such extraneous verbiage would contribute to a clearer and stronger portrayal of skills and experiences., bulletPointLength=Some bullet points are lengthy and could be condensed for a sharper impact. Avoiding redundancy and using precise language can enhance the effectiveness of each statement., scale=100}, qualityAddOn={feedback=Stylistic elements are moderately well adhered to, but improvements could enhance the professional tone. Avoiding certain business clichés and ensuring a uniform date format are worthwhile considerations., score=62, buzzwordsCliches=Buzzwords and clichés are somewhat present and should be minimized in favor of specific, relevant terminology. Phrasing like 'dynamic team player' could be substituted with concrete examples of collaboration or team leadership., datesFormatting=Most of the date ranges are formatted consistently; however, ensuring uniformity across all sections would be beneficial. Consistency in chronological representation adds to the user's trust in document accuracy., activeVoice=Active voice is generally well maintained throughout the document, keeping content engaging and direct. Occasionally, shifting passive phrases to active voice can further reinforce this dynamic engagement., scale=100, personalPronounsUsage=The resume effectively avoids the use of personal pronouns, presenting information in a professional third-person format. This stance helps maintain a level of professionalism and objectivity.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-17T09:07:41.399587, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-17 09:07:41, id=16193f44-360f-4a50-add3-e043d8af4bf9, 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=2025-10-17 09:07:39, status=initiated}