Dashboard

{created_at_str=2025-10-16 12:39:40, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, total_cost=21.02, batch_id=null, cost_breakdown={synthesizer=19.3, transcriber=0.0, synthesizer_breakdown={welcome_message=0, conversation=19.3}, llm=1.7179999999999997, platform=0, transcriber_breakdown={analytics=0, conversation=0.0}, network=0, llm_breakdown={analytics=0, summarization=0.015, extraction=0, conversation=1.315, hangup=0.388}}, created_at=2025-10-16T12:39:40.324044, scheduled_at=2025-10-16T12:39:40.324017, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742164432, provider_call_id=8b6a5c7b-6af7-49f9-868a-5871251eafd2, hosted_telephony=false, recording_url=, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919742164432, 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=6522322c-866a-4dc0-a568-c257372fad6f, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that ?
user:  hello can you hear me now
assistant:  Yes, I can hear you! Is it a good time to connect right now?
user:  yeah yeah i'm talking to
assistant:  Great! I see you just checked your resume score with us today. Are you looking for a job change right now or just updating your resume?
user:  so i'm looking for a change you're calling from ma'am
assistant:  Yes, this is Anita from Outspark, part of the Times-of-India Group. We help professionals like you get more interview calls with ATS-optimized resumes. You mentioned looking for a change—what kind of roles are you targeting?
user:  i'm looking for talent acquisition role hr role
assistant:   Got it, targeting
user:  basically i'm working into hr okay
assistant:   That’s perfect! You have ten years of experience
user:  we'll do talent acquisition and recruitment
assistant:   Great! Are you
user:  i not ten years seven years
assistant:   Thanks for correcting me—seven years it is. Are you aware of ATS, the applicant tracking system, and how it impacts your resume?
user:  oh i have heard about eight years i'm not don't have that much knowledge in it okay
assistant:   No worries! ATS is what filters resumes before HR sees them. If your resume isn’t ATS-friendly, it might get rejected early. Does that make sense?
user:  yeah yeah yeah that's good
assistant:    Perfect
user:  so i just wanted to know should we pay anything for this
assistant:   I’ll explain the full package and value first. You get ten ATS-friendly resumes, ten cover letters, and interview prep kits, plus LinkedIn services. Interested to hear how Outspark has helped over two lakh professionals?
user:  ok
assistant:  Awesome
user:  but ma'am i'm just outside now can you connect by tomorrow
assistant:   Sure! What time can I call you back tomorrow?
user:  tomorrow you can call around
assistant:    Sorry
user:  o'clock pm payment
assistant:    Got
user:  yes thank you
assistant:    You’re welcome! I’ll call you tomorrow at five PM then. Looking forward to helping you boost your career!
assistant: Call will now disconnect
, updated_at=2025-10-16T12:42:23.590128, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 12:42:23, id=920af89d-80f4-4446-9135-44e0e983757f, campaign_id=null, summary=In the conversation, the user, who is looking for a job change, speaks with an agent named Anita from Outspark, a service that helps professionals optimize their resumes for applicant tracking systems (ATS). The user has seven years of experience in HR, specifically in talent acquisition and recruitment. Anita explains the importance of having an ATS-friendly resume and offers a package that includes ten resumes, cover letters, interview prep kits, and LinkedIn services. The user inquires about payment and requests to continue the conversation the next day, to which Anita agrees and schedules a call for 5 PM. The call concludes with Anita expressing her eagerness to assist the user in boosting their career., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=125.8, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=1930, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=1930, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=136, input=486}, azure_gpt-4_1-mini={output=421, input=31234}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=136, input=486, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=421, input=31234, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup={output=84, input=25935, provider_connected=false, provider=openai, model=gpt-4o-mini}}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-16 12:39:40, status=call-disconnected}

{created_at_str=2025-10-16 12:39:40, 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=2025-10-16T12:39:40.324044, scheduled_at=2025-10-16T12:39:40.324017, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742164432, provider_call_id=8b6a5c7b-6af7-49f9-868a-5871251eafd2, 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=+919742164432, 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=6522322c-866a-4dc0-a568-c257372fad6f, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T12:40:05.951675, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 12:40:05, id=920af89d-80f4-4446-9135-44e0e983757f, 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=2025-10-16 12:39:40, status=in-progress}

{created_at_str=2025-10-16 12:39:40, 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=2025-10-16T12:39:40.324044, scheduled_at=2025-10-16T12:39:40.324017, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742164432, provider_call_id=8b6a5c7b-6af7-49f9-868a-5871251eafd2, 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=+919742164432, 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=6522322c-866a-4dc0-a568-c257372fad6f, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T12:39:43.090282, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 12:39:43, id=920af89d-80f4-4446-9135-44e0e983757f, 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=2025-10-16 12:39:40, status=ringing}

{created_at_str=2025-10-16 12:39:40, 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=2025-10-16T12:39:40.324044, scheduled_at=2025-10-16T12:39:40.324017, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742164432, provider_call_id=8b6a5c7b-6af7-49f9-868a-5871251eafd2, 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=+919742164432, 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=6522322c-866a-4dc0-a568-c257372fad6f, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T12:39:41.073156, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 12:39:41, id=920af89d-80f4-4446-9135-44e0e983757f, 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=2025-10-16 12:39:40, status=initiated}

{created_at_str=2025-10-16 12:33:07, 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=2025-10-16T12:33:07.184721, scheduled_at=2025-10-16T12:33:07.184696, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742164432, provider_call_id=50d8f055-f4ca-46f1-89bf-34c903a95c13, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=3020, from_number=+918035316264, call_type=outbound, hangup_by=Carrier, hangup_reason=Call recipient rejected}, context_details={recipient_phone_number=+919742164432, recipient_data={recipient_phone_number=null, review_completed=2025-10-16 17:52:59, callback_request_id=null, is_callback=null, fullName=Nalini, resume_review_id=68f0e3319f941c720e715027, reviewDetails={overallScore={score=62.4, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The layout of the resume needs significant improvement for better readability and organization. Essential sections, such as education and experience, are present but not optimally structured., score=65, readability=The resume includes too much spacing, creating unnecessary gaps which disrupt readability. An organized, consistent format could improve clarity and give the content a professional look., essentialSectionsPresence=While the education section is appropriately positioned at the end, the experience section should be restructured in reverse chronological order. Additionally, personal details should be minimized to keep the focus on professional qualifications., scale=100}, atsReadabilityScore={feedback=The resume includes all necessary elements such as contact information and a breakdown of experience for ATS parsing. However, incorporating more industry-specific keywords could improve its compatibility., score=67, scale=100, keyElementsReadableByATS=The resume has key elements that can be read effectively by ATS, with clearly labeled sections. Enhancing keyword density especially around specific technical skills could further optimize its ATS compatibility.}, impact={feedback=The resume lacks strong impact due to insufficient quantification of achievements and overused phrases. Action verbs used are not varied enough to reflect the candidate's capabilities effectively., score=62, spellCheck=The resume is mostly free of spelling errors, ensuring a professional presentation. However, a review for typographical issues would be beneficial., bulletPointsUsage=Bullet points are used, but there are too many per section leading to clutter. It's essential to keep them focused and impactful to clearly convey accomplishments., weakActionVerbs=Many verbs in the responsibilities section are passive and generic. Consider using stronger, more specific verbs to enhance the resume's impact., scale=100, quantifyingImpact=The resume could benefit from more quantifiable achievements which would show concrete contributions to previous roles. Consider including metrics like percentage improvements or cost savings achieved., repetitionAvoidance=Several action verbs are repeated across the resume, which reduces the impact. Diversifying the language could optimize the impression of varied skills., accomplishmentLanguage=There's little evidence of accomplishment-oriented language. Phrases like 'increased efficiency by 30%' would present a clearer picture of success.}, crispness={feedback=The resume is overly lengthy given the experience presented, resulting in a diluted message. Overuse of filler words and lengthy sections decrease overall crispness., resumeLength=Currently, the resume is too long for the amount of experience, coming across as verbose. Aim to condense to one page for enhanced retention., score=58, bulletPointsCount=There are an excessive number of bullet points, some of which cover similar content. Focusing on key accomplishments would improve clarity., fillerWords=The use of filler words contributes to unnecessary bulk. Eliminating redundant words could help each statement make more of an impact., bulletPointLength=The bullet points are overly detailed, which makes them less powerful. Ensuring each bullet point is concise and focused will enhance impact., scale=100}, qualityAddOn={feedback=Common buzzwords and a lack of stylistic consistency degrade the resume's quality. Addressing these issues would improve presentation and professionalism., score=60, buzzwordsCliches=The resume is rife with buzzwords like 'proactive' and 'results-driven,' which add little value. Substitute these with concrete examples to provide substance., datesFormatting=Dates throughout the document lack consistency, making timelines difficult to track. A unified format would enhance clarity., activeVoice=Some sections suffer from passive constructions, weakening the narrative of achievements. Revising these into active voice statements increases persuasive impact., scale=100, personalPronounsUsage=The usage of personal pronouns is exemplary, as it correctly avoids referencing 'I' or 'me' in the narrative. This aligns well with professional standards.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T12:34:10.640922, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 12:34:10, id=6522322c-866a-4dc0-a568-c257372fad6f, 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=2025-10-16 12:33:07, status=no-answer}

{created_at_str=2025-10-16 12:33:07, 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=2025-10-16T12:33:07.184721, scheduled_at=2025-10-16T12:33:07.184696, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742164432, provider_call_id=50d8f055-f4ca-46f1-89bf-34c903a95c13, 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=+919742164432, recipient_data={recipient_phone_number=null, review_completed=2025-10-16 17:52:59, callback_request_id=null, is_callback=null, fullName=Nalini, resume_review_id=68f0e3319f941c720e715027, reviewDetails={overallScore={score=62.4, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The layout of the resume needs significant improvement for better readability and organization. Essential sections, such as education and experience, are present but not optimally structured., score=65, readability=The resume includes too much spacing, creating unnecessary gaps which disrupt readability. An organized, consistent format could improve clarity and give the content a professional look., essentialSectionsPresence=While the education section is appropriately positioned at the end, the experience section should be restructured in reverse chronological order. Additionally, personal details should be minimized to keep the focus on professional qualifications., scale=100}, atsReadabilityScore={feedback=The resume includes all necessary elements such as contact information and a breakdown of experience for ATS parsing. However, incorporating more industry-specific keywords could improve its compatibility., score=67, scale=100, keyElementsReadableByATS=The resume has key elements that can be read effectively by ATS, with clearly labeled sections. Enhancing keyword density especially around specific technical skills could further optimize its ATS compatibility.}, impact={feedback=The resume lacks strong impact due to insufficient quantification of achievements and overused phrases. Action verbs used are not varied enough to reflect the candidate's capabilities effectively., score=62, spellCheck=The resume is mostly free of spelling errors, ensuring a professional presentation. However, a review for typographical issues would be beneficial., bulletPointsUsage=Bullet points are used, but there are too many per section leading to clutter. It's essential to keep them focused and impactful to clearly convey accomplishments., weakActionVerbs=Many verbs in the responsibilities section are passive and generic. Consider using stronger, more specific verbs to enhance the resume's impact., scale=100, quantifyingImpact=The resume could benefit from more quantifiable achievements which would show concrete contributions to previous roles. Consider including metrics like percentage improvements or cost savings achieved., repetitionAvoidance=Several action verbs are repeated across the resume, which reduces the impact. Diversifying the language could optimize the impression of varied skills., accomplishmentLanguage=There's little evidence of accomplishment-oriented language. Phrases like 'increased efficiency by 30%' would present a clearer picture of success.}, crispness={feedback=The resume is overly lengthy given the experience presented, resulting in a diluted message. Overuse of filler words and lengthy sections decrease overall crispness., resumeLength=Currently, the resume is too long for the amount of experience, coming across as verbose. Aim to condense to one page for enhanced retention., score=58, bulletPointsCount=There are an excessive number of bullet points, some of which cover similar content. Focusing on key accomplishments would improve clarity., fillerWords=The use of filler words contributes to unnecessary bulk. Eliminating redundant words could help each statement make more of an impact., bulletPointLength=The bullet points are overly detailed, which makes them less powerful. Ensuring each bullet point is concise and focused will enhance impact., scale=100}, qualityAddOn={feedback=Common buzzwords and a lack of stylistic consistency degrade the resume's quality. Addressing these issues would improve presentation and professionalism., score=60, buzzwordsCliches=The resume is rife with buzzwords like 'proactive' and 'results-driven,' which add little value. Substitute these with concrete examples to provide substance., datesFormatting=Dates throughout the document lack consistency, making timelines difficult to track. A unified format would enhance clarity., activeVoice=Some sections suffer from passive constructions, weakening the narrative of achievements. Revising these into active voice statements increases persuasive impact., scale=100, personalPronounsUsage=The usage of personal pronouns is exemplary, as it correctly avoids referencing 'I' or 'me' in the narrative. This aligns well with professional standards.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T12:33:10.012554, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 12:33:10, id=6522322c-866a-4dc0-a568-c257372fad6f, 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=2025-10-16 12:33:07, status=ringing}

{created_at_str=2025-10-16 12:33:07, 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=2025-10-16T12:33:07.184721, scheduled_at=2025-10-16T12:33:07.184696, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742164432, provider_call_id=50d8f055-f4ca-46f1-89bf-34c903a95c13, 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=+919742164432, recipient_data={recipient_phone_number=null, review_completed=2025-10-16 17:52:59, callback_request_id=null, is_callback=null, fullName=Nalini, resume_review_id=68f0e3319f941c720e715027, reviewDetails={overallScore={score=62.4, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The layout of the resume needs significant improvement for better readability and organization. Essential sections, such as education and experience, are present but not optimally structured., score=65, readability=The resume includes too much spacing, creating unnecessary gaps which disrupt readability. An organized, consistent format could improve clarity and give the content a professional look., essentialSectionsPresence=While the education section is appropriately positioned at the end, the experience section should be restructured in reverse chronological order. Additionally, personal details should be minimized to keep the focus on professional qualifications., scale=100}, atsReadabilityScore={feedback=The resume includes all necessary elements such as contact information and a breakdown of experience for ATS parsing. However, incorporating more industry-specific keywords could improve its compatibility., score=67, scale=100, keyElementsReadableByATS=The resume has key elements that can be read effectively by ATS, with clearly labeled sections. Enhancing keyword density especially around specific technical skills could further optimize its ATS compatibility.}, impact={feedback=The resume lacks strong impact due to insufficient quantification of achievements and overused phrases. Action verbs used are not varied enough to reflect the candidate's capabilities effectively., score=62, spellCheck=The resume is mostly free of spelling errors, ensuring a professional presentation. However, a review for typographical issues would be beneficial., bulletPointsUsage=Bullet points are used, but there are too many per section leading to clutter. It's essential to keep them focused and impactful to clearly convey accomplishments., weakActionVerbs=Many verbs in the responsibilities section are passive and generic. Consider using stronger, more specific verbs to enhance the resume's impact., scale=100, quantifyingImpact=The resume could benefit from more quantifiable achievements which would show concrete contributions to previous roles. Consider including metrics like percentage improvements or cost savings achieved., repetitionAvoidance=Several action verbs are repeated across the resume, which reduces the impact. Diversifying the language could optimize the impression of varied skills., accomplishmentLanguage=There's little evidence of accomplishment-oriented language. Phrases like 'increased efficiency by 30%' would present a clearer picture of success.}, crispness={feedback=The resume is overly lengthy given the experience presented, resulting in a diluted message. Overuse of filler words and lengthy sections decrease overall crispness., resumeLength=Currently, the resume is too long for the amount of experience, coming across as verbose. Aim to condense to one page for enhanced retention., score=58, bulletPointsCount=There are an excessive number of bullet points, some of which cover similar content. Focusing on key accomplishments would improve clarity., fillerWords=The use of filler words contributes to unnecessary bulk. Eliminating redundant words could help each statement make more of an impact., bulletPointLength=The bullet points are overly detailed, which makes them less powerful. Ensuring each bullet point is concise and focused will enhance impact., scale=100}, qualityAddOn={feedback=Common buzzwords and a lack of stylistic consistency degrade the resume's quality. Addressing these issues would improve presentation and professionalism., score=60, buzzwordsCliches=The resume is rife with buzzwords like 'proactive' and 'results-driven,' which add little value. Substitute these with concrete examples to provide substance., datesFormatting=Dates throughout the document lack consistency, making timelines difficult to track. A unified format would enhance clarity., activeVoice=Some sections suffer from passive constructions, weakening the narrative of achievements. Revising these into active voice statements increases persuasive impact., scale=100, personalPronounsUsage=The usage of personal pronouns is exemplary, as it correctly avoids referencing 'I' or 'me' in the narrative. This aligns well with professional standards.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T12:33:08.707898, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 12:33:08, id=6522322c-866a-4dc0-a568-c257372fad6f, 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=2025-10-16 12:33:07, status=initiated}