Dashboard

{created_at_str=2025-10-16 10:20:39, 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=2025-10-16T10:20:39.863612, scheduled_at=2025-10-16T10:20:39.863579, custom_extractions=null, telephony_data={duration=0.0, to_number=+919591599427, provider_call_id=e6334320-750f-4120-8148-73273bc9410c, 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=+919591599427, 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=08b8431c-928f-48ff-adc6-de6c86689535, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T10:20:43.138426, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 10:20:43, id=d88cb36d-4b6d-46f4-8144-8a7ed5b7e70e, 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 10:20:39, status=ringing}

{created_at_str=2025-10-16 10:20:39, 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=2025-10-16T10:20:39.863612, scheduled_at=2025-10-16T10:20:39.863579, custom_extractions=null, telephony_data={duration=0.0, to_number=+919591599427, provider_call_id=e6334320-750f-4120-8148-73273bc9410c, 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=+919591599427, 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=08b8431c-928f-48ff-adc6-de6c86689535, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T10:20:42.068521, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 10:20:42, id=d88cb36d-4b6d-46f4-8144-8a7ed5b7e70e, 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 10:20:39, status=initiated}

{created_at_str=2025-10-16 10:14:39, 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=2025-10-16T10:14:39.826193, scheduled_at=2025-10-16T10:14:39.826167, custom_extractions=null, telephony_data={duration=0.0, to_number=+919591599427, provider_call_id=20c18b18-fb45-49ed-80da-fc2605c3e837, 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=+919591599427, 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=08b8431c-928f-48ff-adc6-de6c86689535, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T10:15:37.903919, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 10:15:37, id=4e2d8979-a04d-48c5-8bb7-7316cd9e1eda, 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 10:14:39, status=no-answer}

{created_at_str=2025-10-16 10:14:39, 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=2025-10-16T10:14:39.826193, scheduled_at=2025-10-16T10:14:39.826167, custom_extractions=null, telephony_data={duration=0.0, to_number=+919591599427, provider_call_id=20c18b18-fb45-49ed-80da-fc2605c3e837, 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=+919591599427, 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=08b8431c-928f-48ff-adc6-de6c86689535, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T10:14:42.794093, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 10:14:42, id=4e2d8979-a04d-48c5-8bb7-7316cd9e1eda, 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 10:14:39, status=ringing}

{created_at_str=2025-10-16 10:14:39, 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=2025-10-16T10:14:39.826193, scheduled_at=2025-10-16T10:14:39.826167, custom_extractions=null, telephony_data={duration=0.0, to_number=+919591599427, provider_call_id=20c18b18-fb45-49ed-80da-fc2605c3e837, 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=+919591599427, 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=08b8431c-928f-48ff-adc6-de6c86689535, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T10:14:41.668142, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 10:14:41, id=4e2d8979-a04d-48c5-8bb7-7316cd9e1eda, 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 10:14:39, status=initiated}

{created_at_str=2025-10-16 10:08:05, 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=2025-10-16T10:08:05.67576, scheduled_at=2025-10-16T10:08:05.675733, custom_extractions=null, telephony_data={duration=0.0, to_number=+919591599427, provider_call_id=c6cd8f00-c275-4299-9f89-cc2f2634eed2, 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=+919591599427, recipient_data={recipient_phone_number=null, review_completed=2025-10-16 15:27:23, callback_request_id=null, is_callback=null, fullName=MOHAMMED, resume_review_id=68f0c1299f941c720e71491a, reviewDetails={overallScore={score=62.6, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume offers a clear sectioning with emphasis on 'Experience' and 'Education'. Nonetheless, it requires better chronological presentation of roles to highlight career progression., score=68, readability=The readability is moderate with headlines and sub-sections making it easier to scan. But consistency in formatting margins and font size would enhance clarity further., essentialSectionsPresence=All necessary sections like Education and Experience are present; however, an 'Objective' or 'Summary' section could improve reader engagement., scale=100}, atsReadabilityScore={feedback=The resume features strong keywords relevant to the credit control field, aiding ATS scanning. Ensuring consistent formatting and clear headings will further optimize ATS readability., score=64, scale=100, keyElementsReadableByATS=Key information such as contact details and work sections are discernible by ATS; however, clearer structuring of role titles and dates could improve overall parsing.}, impact={feedback=The resume provides some impactful statements but lacks frequent quantifiable achievements that could strengthen its appeal. Using more powerful action verbs could further articulate the applicant's accomplishments effectively., score=62, spellCheck=Generally, the document is well-proofread, though a final spell check could prevent minor errors from slipping through., bulletPointsUsage=Bullet points are used throughout, aiding readability, but could benefit from more concise phrasing. Overuse in some sections dilutes focus from key achievements., weakActionVerbs=Some action verbs are weak or overly general; substituting these with stronger ones like 'spearheaded' or 'orchestrated' will improve effectiveness., scale=100, quantifyingImpact=There are a few quantifiable achievements, such as consistent monthly collections. However, further quantification in other areas would significantly enhance the impact., repetitionAvoidance=There is repetition of action verbs like 'managed' and 'coordinated', which could be replaced with varied language for stronger emphasis on diverse skills., accomplishmentLanguage=The language hints at accomplishments, but would benefit from more specific results-driven statements. Highlighting direct contributions to team goals or outcomes would add depth.}, crispness={feedback=While the resume length is somewhat justified given the applicant's experience, excessive details and filler content need trimming. Too many lengthy bullet points dilute the message, making it less impactful., resumeLength=The overall resume length is reasonable but extending beyond two pages dilutes the reader's attention. Efforts to consolidate points could improve focus., score=59, bulletPointsCount=Bullet points are overly abundant, especially under each role, which overwhelms the reader. Limiting to the most impactful results will enhance clarity., fillerWords=Use of filler words is apparent and should be minimized. Stripping these out would improve overall readability and precision in communication., bulletPointLength=Many bullet points are wordy, decreasing their effectiveness. Shorter, more pointed statements would convey achievements more cleanly., scale=100}, qualityAddOn={feedback=The resume avoids excessive jargon, but language tends towards the cliché. Enhancing specificity and ensuring date formatting consistency can significantly improve its quality., score=60, buzzwordsCliches=There is occasional reliance on buzzwords like 'results-driven' and 'strong communication skills'. Replacing these with specific illustrations of success can better showcase your value., datesFormatting=Dates are not consistently formatted, occasionally leading to confusion. Ensuring all are written in a uniform manner (e.g., Month/Year) would aid readability., activeVoice=Most statements are in active voice, aiding clarity and directness. Nonetheless, ensuring active voice consistently throughout would further ensure engagement., scale=100, personalPronounsUsage=The resume effectively avoids personal pronouns, maintaining a professional tone throughout.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T10:09:02.55202, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 10:09:02, id=08b8431c-928f-48ff-adc6-de6c86689535, 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 10:08:05, status=no-answer}

{created_at_str=2025-10-16 10:08:05, 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=2025-10-16T10:08:05.67576, scheduled_at=2025-10-16T10:08:05.675733, custom_extractions=null, telephony_data={duration=0.0, to_number=+919591599427, provider_call_id=c6cd8f00-c275-4299-9f89-cc2f2634eed2, 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=+919591599427, recipient_data={recipient_phone_number=null, review_completed=2025-10-16 15:27:23, callback_request_id=null, is_callback=null, fullName=MOHAMMED, resume_review_id=68f0c1299f941c720e71491a, reviewDetails={overallScore={score=62.6, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume offers a clear sectioning with emphasis on 'Experience' and 'Education'. Nonetheless, it requires better chronological presentation of roles to highlight career progression., score=68, readability=The readability is moderate with headlines and sub-sections making it easier to scan. But consistency in formatting margins and font size would enhance clarity further., essentialSectionsPresence=All necessary sections like Education and Experience are present; however, an 'Objective' or 'Summary' section could improve reader engagement., scale=100}, atsReadabilityScore={feedback=The resume features strong keywords relevant to the credit control field, aiding ATS scanning. Ensuring consistent formatting and clear headings will further optimize ATS readability., score=64, scale=100, keyElementsReadableByATS=Key information such as contact details and work sections are discernible by ATS; however, clearer structuring of role titles and dates could improve overall parsing.}, impact={feedback=The resume provides some impactful statements but lacks frequent quantifiable achievements that could strengthen its appeal. Using more powerful action verbs could further articulate the applicant's accomplishments effectively., score=62, spellCheck=Generally, the document is well-proofread, though a final spell check could prevent minor errors from slipping through., bulletPointsUsage=Bullet points are used throughout, aiding readability, but could benefit from more concise phrasing. Overuse in some sections dilutes focus from key achievements., weakActionVerbs=Some action verbs are weak or overly general; substituting these with stronger ones like 'spearheaded' or 'orchestrated' will improve effectiveness., scale=100, quantifyingImpact=There are a few quantifiable achievements, such as consistent monthly collections. However, further quantification in other areas would significantly enhance the impact., repetitionAvoidance=There is repetition of action verbs like 'managed' and 'coordinated', which could be replaced with varied language for stronger emphasis on diverse skills., accomplishmentLanguage=The language hints at accomplishments, but would benefit from more specific results-driven statements. Highlighting direct contributions to team goals or outcomes would add depth.}, crispness={feedback=While the resume length is somewhat justified given the applicant's experience, excessive details and filler content need trimming. Too many lengthy bullet points dilute the message, making it less impactful., resumeLength=The overall resume length is reasonable but extending beyond two pages dilutes the reader's attention. Efforts to consolidate points could improve focus., score=59, bulletPointsCount=Bullet points are overly abundant, especially under each role, which overwhelms the reader. Limiting to the most impactful results will enhance clarity., fillerWords=Use of filler words is apparent and should be minimized. Stripping these out would improve overall readability and precision in communication., bulletPointLength=Many bullet points are wordy, decreasing their effectiveness. Shorter, more pointed statements would convey achievements more cleanly., scale=100}, qualityAddOn={feedback=The resume avoids excessive jargon, but language tends towards the cliché. Enhancing specificity and ensuring date formatting consistency can significantly improve its quality., score=60, buzzwordsCliches=There is occasional reliance on buzzwords like 'results-driven' and 'strong communication skills'. Replacing these with specific illustrations of success can better showcase your value., datesFormatting=Dates are not consistently formatted, occasionally leading to confusion. Ensuring all are written in a uniform manner (e.g., Month/Year) would aid readability., activeVoice=Most statements are in active voice, aiding clarity and directness. Nonetheless, ensuring active voice consistently throughout would further ensure engagement., scale=100, personalPronounsUsage=The resume effectively avoids personal pronouns, maintaining a professional tone throughout.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T10:08:07.812802, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 10:08:07, id=08b8431c-928f-48ff-adc6-de6c86689535, 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 10:08:05, status=ringing}

{created_at_str=2025-10-16 10:08:05, 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=2025-10-16T10:08:05.67576, scheduled_at=2025-10-16T10:08:05.675733, custom_extractions=null, telephony_data={duration=0.0, to_number=+919591599427, provider_call_id=c6cd8f00-c275-4299-9f89-cc2f2634eed2, 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=+919591599427, recipient_data={recipient_phone_number=null, review_completed=2025-10-16 15:27:23, callback_request_id=null, is_callback=null, fullName=MOHAMMED, resume_review_id=68f0c1299f941c720e71491a, reviewDetails={overallScore={score=62.6, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume offers a clear sectioning with emphasis on 'Experience' and 'Education'. Nonetheless, it requires better chronological presentation of roles to highlight career progression., score=68, readability=The readability is moderate with headlines and sub-sections making it easier to scan. But consistency in formatting margins and font size would enhance clarity further., essentialSectionsPresence=All necessary sections like Education and Experience are present; however, an 'Objective' or 'Summary' section could improve reader engagement., scale=100}, atsReadabilityScore={feedback=The resume features strong keywords relevant to the credit control field, aiding ATS scanning. Ensuring consistent formatting and clear headings will further optimize ATS readability., score=64, scale=100, keyElementsReadableByATS=Key information such as contact details and work sections are discernible by ATS; however, clearer structuring of role titles and dates could improve overall parsing.}, impact={feedback=The resume provides some impactful statements but lacks frequent quantifiable achievements that could strengthen its appeal. Using more powerful action verbs could further articulate the applicant's accomplishments effectively., score=62, spellCheck=Generally, the document is well-proofread, though a final spell check could prevent minor errors from slipping through., bulletPointsUsage=Bullet points are used throughout, aiding readability, but could benefit from more concise phrasing. Overuse in some sections dilutes focus from key achievements., weakActionVerbs=Some action verbs are weak or overly general; substituting these with stronger ones like 'spearheaded' or 'orchestrated' will improve effectiveness., scale=100, quantifyingImpact=There are a few quantifiable achievements, such as consistent monthly collections. However, further quantification in other areas would significantly enhance the impact., repetitionAvoidance=There is repetition of action verbs like 'managed' and 'coordinated', which could be replaced with varied language for stronger emphasis on diverse skills., accomplishmentLanguage=The language hints at accomplishments, but would benefit from more specific results-driven statements. Highlighting direct contributions to team goals or outcomes would add depth.}, crispness={feedback=While the resume length is somewhat justified given the applicant's experience, excessive details and filler content need trimming. Too many lengthy bullet points dilute the message, making it less impactful., resumeLength=The overall resume length is reasonable but extending beyond two pages dilutes the reader's attention. Efforts to consolidate points could improve focus., score=59, bulletPointsCount=Bullet points are overly abundant, especially under each role, which overwhelms the reader. Limiting to the most impactful results will enhance clarity., fillerWords=Use of filler words is apparent and should be minimized. Stripping these out would improve overall readability and precision in communication., bulletPointLength=Many bullet points are wordy, decreasing their effectiveness. Shorter, more pointed statements would convey achievements more cleanly., scale=100}, qualityAddOn={feedback=The resume avoids excessive jargon, but language tends towards the cliché. Enhancing specificity and ensuring date formatting consistency can significantly improve its quality., score=60, buzzwordsCliches=There is occasional reliance on buzzwords like 'results-driven' and 'strong communication skills'. Replacing these with specific illustrations of success can better showcase your value., datesFormatting=Dates are not consistently formatted, occasionally leading to confusion. Ensuring all are written in a uniform manner (e.g., Month/Year) would aid readability., activeVoice=Most statements are in active voice, aiding clarity and directness. Nonetheless, ensuring active voice consistently throughout would further ensure engagement., scale=100, personalPronounsUsage=The resume effectively avoids personal pronouns, maintaining a professional tone throughout.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-16T10:08:06.745212, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-16 10:08:06, id=08b8431c-928f-48ff-adc6-de6c86689535, 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 10:08:05, status=initiated}