Dashboard

{created_at_str=2025-10-11 04:43:09, 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=2025-10-11T04:43:09.860042, scheduled_at=2025-10-11T04:43:09.860008, custom_extractions=null, telephony_data={duration=0.0, to_number=+919544039692, provider_call_id=7f3c4bc7-9c07-4ce2-a810-8e676a621e7a, 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=+919544039692, 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=9823b0db-bdc5-4042-9706-b4de12de0c1c, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-11T04:43:12.678786, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-11 04:43:12, id=576d211e-c457-4966-b11d-7b533496ed7c, 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=2025-10-11 04:43:09, status=ringing}

{created_at_str=2025-10-11 04:43:09, 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=2025-10-11T04:43:09.860042, scheduled_at=2025-10-11T04:43:09.860008, custom_extractions=null, telephony_data={duration=0.0, to_number=+919544039692, provider_call_id=7f3c4bc7-9c07-4ce2-a810-8e676a621e7a, 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=+919544039692, 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=9823b0db-bdc5-4042-9706-b4de12de0c1c, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-11T04:43:11.629582, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-11 04:43:11, id=576d211e-c457-4966-b11d-7b533496ed7c, 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=2025-10-11 04:43:09, status=initiated}

{created_at_str=2025-10-11 04:37:09, 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=2025-10-11T04:37:09.90322, scheduled_at=2025-10-11T04:37:09.903184, custom_extractions=null, telephony_data={duration=0.0, to_number=+919544039692, provider_call_id=9d165837-bb98-4299-8cc9-78aa17e0ae1d, 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=+919544039692, 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=9823b0db-bdc5-4042-9706-b4de12de0c1c, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-11T04:37:38.917181, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-11 04:37:38, id=fa3009f8-10a3-4575-8d86-efc7985d80a2, 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=2025-10-11 04:37:09, status=busy}

{created_at_str=2025-10-11 04:37:09, 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=2025-10-11T04:37:09.90322, scheduled_at=2025-10-11T04:37:09.903184, custom_extractions=null, telephony_data={duration=0.0, to_number=+919544039692, provider_call_id=9d165837-bb98-4299-8cc9-78aa17e0ae1d, 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=+919544039692, 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=9823b0db-bdc5-4042-9706-b4de12de0c1c, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-11T04:37:14.650148, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-11 04:37:14, id=fa3009f8-10a3-4575-8d86-efc7985d80a2, 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=2025-10-11 04:37:09, status=ringing}

{created_at_str=2025-10-11 04:37:09, 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=2025-10-11T04:37:09.90322, scheduled_at=2025-10-11T04:37:09.903184, custom_extractions=null, telephony_data={duration=0.0, to_number=+919544039692, provider_call_id=9d165837-bb98-4299-8cc9-78aa17e0ae1d, 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=+919544039692, 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=9823b0db-bdc5-4042-9706-b4de12de0c1c, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-11T04:37:13.220771, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-11 04:37:13, id=fa3009f8-10a3-4575-8d86-efc7985d80a2, 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=2025-10-11 04:37:09, status=initiated}

{created_at_str=2025-10-11 04:31:11, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-11T04:31:11.850267, scheduled_at=2025-10-11T04:31:11.850231, custom_extractions=null, telephony_data={duration=0.0, to_number=+919544039692, provider_call_id=e9856c16-9af4-44c0-a1af-f25432e06d32, 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=+919544039692, recipient_data={recipient_phone_number=null, review_completed=2025-10-11 09:50:44, callback_request_id=null, is_callback=null, fullName=Nikhilesh, resume_review_id=68e9daea18c34103788d649b, reviewDetails={overallScore={score=61.4, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume is generally well-structured but could benefit from a clearer sectional separation for better readability. Including a more defined header with the applicant’s name and contact info prominently displayed could enhance the searchability., score=62, readability=The font and format are readable, but some sections feel cluttered due to dense bullet points. Ensure uniform spacing and bullet formatting for improved legibility., essentialSectionsPresence=All essential sections like Experience, Education, and Skills are present, though not optimized for reading ease. Consider improving the order of sections to highlight the most relevant information early., scale=100}, atsReadabilityScore={feedback=The resume is largely ATS-friendly but could benefit from more job-related keywords for better keyword optimization. Care should be taken to ensure role-specific terms are included for enhanced ATS scoring., score=65, scale=100, keyElementsReadableByATS=The ATS readability is sufficient with the presence of crucial details like name and contact info. Ensuring no images or unconventional formatting are used will maintain this compatibility.}, impact={feedback=There's a solid attempt to describe past roles, but impacts aren't consistently quantified. Reinforce achievements by adding measurable outcomes, such as percentage increases or sales milestones., score=59, spellCheck=Spell check reveals no major errors but minor grammar improvements could be beneficial. Reviewing for simple sentence structures might enhance clarity and conciseness., bulletPointsUsage=Bullet points are used appropriately throughout, but they lack punch and immediate impact. Adding concise endings that wrap up duties or achievements would enhance them., weakActionVerbs=The verbs employed are standard but lack energy; stronger action verbs could create more dynamic narratives. Replacing generic verbs like 'handled' with 'managed' or 'optimized' can enrich it., scale=100, quantifyingImpact=Quantifiable achievements are sparse. Including more data and numbers would bolster the resume’s impact significantly, helping to illustrate past successes clearly., repetitionAvoidance=Repetition is minimal, but some verbs recur, diluting their effect. Try using a thesaurus or rewriting sentences to vary expression and maintain engagement., accomplishmentLanguage=The language does indicate accomplishments, although it's sometimes vague. Focus on precise, performance-based language to highlight competencies.}, crispness={feedback=The resume’s length is appropriate; however, the content could be more concise. Eliminating verbose descriptions and focusing on key achievements would help., resumeLength=The resume maintains an appropriate length for the experience level, though a streamlined approach could refine it. Avoid over-explanation of roles that could be captured in fewer words., score=57, bulletPointsCount=There's a healthy number of bullet points, though they could be trimmed for clarity. Fewer points with more substantial content can improve overall crispness., fillerWords=Filler words are not prominent but eliminating them entirely would improve precision. Ensure each word serves a purpose to maintain reader engagement., bulletPointLength=Some bullet points are overly lengthy and would benefit from conciseness. Stick to one idea per bullet to maintain tight, effective communication., scale=100}, qualityAddOn={feedback=The resume avoids major stylistic pitfalls, though it's peppered with typical business clichés. Being specific about skills and achievements rather than using generalized terms like 'dynamic' can enhance impact., score=64, buzzwordsCliches=Buzzwords like 'dynamic' and 'results-driven' dilute the specific value you offer. Replace them with particular examples to demonstrate competencies., datesFormatting=Dates are consistent in format, but aligning them all to the right for a cleaner look can streamline the layout. Keeping the format uniform boosts professionalism., activeVoice=Active voice is consistent but could be stronger with a few sentences presently in passive format. Reworking these would result in more compelling statements., scale=100, personalPronounsUsage=Personal pronouns are avoided appropriately, maintaining a professional tone. This aligns well with conventional resume expectations.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-11T04:31:57.428274, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-11 04:31:57, id=9823b0db-bdc5-4042-9706-b4de12de0c1c, 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=21, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=21}, 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=2025-10-11 04:31:11, status=busy}

{created_at_str=2025-10-11 04:31:11, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-11T04:31:11.850267, scheduled_at=2025-10-11T04:31:11.850231, custom_extractions=null, telephony_data={duration=0.0, to_number=+919544039692, provider_call_id=e9856c16-9af4-44c0-a1af-f25432e06d32, 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=+919544039692, recipient_data={recipient_phone_number=null, review_completed=2025-10-11 09:50:44, callback_request_id=null, is_callback=null, fullName=Nikhilesh, resume_review_id=68e9daea18c34103788d649b, reviewDetails={overallScore={score=61.4, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume is generally well-structured but could benefit from a clearer sectional separation for better readability. Including a more defined header with the applicant’s name and contact info prominently displayed could enhance the searchability., score=62, readability=The font and format are readable, but some sections feel cluttered due to dense bullet points. Ensure uniform spacing and bullet formatting for improved legibility., essentialSectionsPresence=All essential sections like Experience, Education, and Skills are present, though not optimized for reading ease. Consider improving the order of sections to highlight the most relevant information early., scale=100}, atsReadabilityScore={feedback=The resume is largely ATS-friendly but could benefit from more job-related keywords for better keyword optimization. Care should be taken to ensure role-specific terms are included for enhanced ATS scoring., score=65, scale=100, keyElementsReadableByATS=The ATS readability is sufficient with the presence of crucial details like name and contact info. Ensuring no images or unconventional formatting are used will maintain this compatibility.}, impact={feedback=There's a solid attempt to describe past roles, but impacts aren't consistently quantified. Reinforce achievements by adding measurable outcomes, such as percentage increases or sales milestones., score=59, spellCheck=Spell check reveals no major errors but minor grammar improvements could be beneficial. Reviewing for simple sentence structures might enhance clarity and conciseness., bulletPointsUsage=Bullet points are used appropriately throughout, but they lack punch and immediate impact. Adding concise endings that wrap up duties or achievements would enhance them., weakActionVerbs=The verbs employed are standard but lack energy; stronger action verbs could create more dynamic narratives. Replacing generic verbs like 'handled' with 'managed' or 'optimized' can enrich it., scale=100, quantifyingImpact=Quantifiable achievements are sparse. Including more data and numbers would bolster the resume’s impact significantly, helping to illustrate past successes clearly., repetitionAvoidance=Repetition is minimal, but some verbs recur, diluting their effect. Try using a thesaurus or rewriting sentences to vary expression and maintain engagement., accomplishmentLanguage=The language does indicate accomplishments, although it's sometimes vague. Focus on precise, performance-based language to highlight competencies.}, crispness={feedback=The resume’s length is appropriate; however, the content could be more concise. Eliminating verbose descriptions and focusing on key achievements would help., resumeLength=The resume maintains an appropriate length for the experience level, though a streamlined approach could refine it. Avoid over-explanation of roles that could be captured in fewer words., score=57, bulletPointsCount=There's a healthy number of bullet points, though they could be trimmed for clarity. Fewer points with more substantial content can improve overall crispness., fillerWords=Filler words are not prominent but eliminating them entirely would improve precision. Ensure each word serves a purpose to maintain reader engagement., bulletPointLength=Some bullet points are overly lengthy and would benefit from conciseness. Stick to one idea per bullet to maintain tight, effective communication., scale=100}, qualityAddOn={feedback=The resume avoids major stylistic pitfalls, though it's peppered with typical business clichés. Being specific about skills and achievements rather than using generalized terms like 'dynamic' can enhance impact., score=64, buzzwordsCliches=Buzzwords like 'dynamic' and 'results-driven' dilute the specific value you offer. Replace them with particular examples to demonstrate competencies., datesFormatting=Dates are consistent in format, but aligning them all to the right for a cleaner look can streamline the layout. Keeping the format uniform boosts professionalism., activeVoice=Active voice is consistent but could be stronger with a few sentences presently in passive format. Reworking these would result in more compelling statements., scale=100, personalPronounsUsage=Personal pronouns are avoided appropriately, maintaining a professional tone. This aligns well with conventional resume expectations.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-11T04:31:15.109512, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-11 04:31:15, id=9823b0db-bdc5-4042-9706-b4de12de0c1c, 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=21, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=21}, 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=2025-10-11 04:31:11, status=ringing}

{created_at_str=2025-10-11 04:31:11, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-11T04:31:11.850267, scheduled_at=2025-10-11T04:31:11.850231, custom_extractions=null, telephony_data={duration=0.0, to_number=+919544039692, provider_call_id=e9856c16-9af4-44c0-a1af-f25432e06d32, 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=+919544039692, recipient_data={recipient_phone_number=null, review_completed=2025-10-11 09:50:44, callback_request_id=null, is_callback=null, fullName=Nikhilesh, resume_review_id=68e9daea18c34103788d649b, reviewDetails={overallScore={score=61.4, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume is generally well-structured but could benefit from a clearer sectional separation for better readability. Including a more defined header with the applicant’s name and contact info prominently displayed could enhance the searchability., score=62, readability=The font and format are readable, but some sections feel cluttered due to dense bullet points. Ensure uniform spacing and bullet formatting for improved legibility., essentialSectionsPresence=All essential sections like Experience, Education, and Skills are present, though not optimized for reading ease. Consider improving the order of sections to highlight the most relevant information early., scale=100}, atsReadabilityScore={feedback=The resume is largely ATS-friendly but could benefit from more job-related keywords for better keyword optimization. Care should be taken to ensure role-specific terms are included for enhanced ATS scoring., score=65, scale=100, keyElementsReadableByATS=The ATS readability is sufficient with the presence of crucial details like name and contact info. Ensuring no images or unconventional formatting are used will maintain this compatibility.}, impact={feedback=There's a solid attempt to describe past roles, but impacts aren't consistently quantified. Reinforce achievements by adding measurable outcomes, such as percentage increases or sales milestones., score=59, spellCheck=Spell check reveals no major errors but minor grammar improvements could be beneficial. Reviewing for simple sentence structures might enhance clarity and conciseness., bulletPointsUsage=Bullet points are used appropriately throughout, but they lack punch and immediate impact. Adding concise endings that wrap up duties or achievements would enhance them., weakActionVerbs=The verbs employed are standard but lack energy; stronger action verbs could create more dynamic narratives. Replacing generic verbs like 'handled' with 'managed' or 'optimized' can enrich it., scale=100, quantifyingImpact=Quantifiable achievements are sparse. Including more data and numbers would bolster the resume’s impact significantly, helping to illustrate past successes clearly., repetitionAvoidance=Repetition is minimal, but some verbs recur, diluting their effect. Try using a thesaurus or rewriting sentences to vary expression and maintain engagement., accomplishmentLanguage=The language does indicate accomplishments, although it's sometimes vague. Focus on precise, performance-based language to highlight competencies.}, crispness={feedback=The resume’s length is appropriate; however, the content could be more concise. Eliminating verbose descriptions and focusing on key achievements would help., resumeLength=The resume maintains an appropriate length for the experience level, though a streamlined approach could refine it. Avoid over-explanation of roles that could be captured in fewer words., score=57, bulletPointsCount=There's a healthy number of bullet points, though they could be trimmed for clarity. Fewer points with more substantial content can improve overall crispness., fillerWords=Filler words are not prominent but eliminating them entirely would improve precision. Ensure each word serves a purpose to maintain reader engagement., bulletPointLength=Some bullet points are overly lengthy and would benefit from conciseness. Stick to one idea per bullet to maintain tight, effective communication., scale=100}, qualityAddOn={feedback=The resume avoids major stylistic pitfalls, though it's peppered with typical business clichés. Being specific about skills and achievements rather than using generalized terms like 'dynamic' can enhance impact., score=64, buzzwordsCliches=Buzzwords like 'dynamic' and 'results-driven' dilute the specific value you offer. Replace them with particular examples to demonstrate competencies., datesFormatting=Dates are consistent in format, but aligning them all to the right for a cleaner look can streamline the layout. Keeping the format uniform boosts professionalism., activeVoice=Active voice is consistent but could be stronger with a few sentences presently in passive format. Reworking these would result in more compelling statements., scale=100, personalPronounsUsage=Personal pronouns are avoided appropriately, maintaining a professional tone. This aligns well with conventional resume expectations.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-11T04:31:13.934776, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-11 04:31:13, id=9823b0db-bdc5-4042-9706-b4de12de0c1c, 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=21, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=21}, 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=2025-10-11 04:31:11, status=initiated}