Call Details
Bolna ID:
ab41b773-c88e-4cca-9e6d-8ce068f0cdff
Phone: +917078187546
From: +918035316264
Status: no-answer
Processing: COMPLETED
Duration: N/A
Cost: N/A
Hangup Details
Hangup By: Carrier
Reason: Call recipient rejected
Timestamps
Started:
2025-10-08 14:37:22
Ended:
Not set
Last Processed:
2025-10-08 14:47:22
Last Retry At:
2025-10-08 14:47:22
Next Retry Scheduled:
2025-10-08 14:43:29
Next Call Scheduled:
2025-10-08 14:43:29
Call Timeline 14
Call History (Raw Callbacks) 8
{created_at_str=2025-10-08 09:14:22, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, total_cost=5.24, batch_id=null, cost_breakdown={synthesizer=3.07, transcriber=0.448, synthesizer_breakdown={welcome_message=0, conversation=3.07}, llm=0.223, transfer_cost=0.0, platform=1.5, transcriber_breakdown={analytics=0, conversation=0.448}, network=0.925, llm_breakdown={analytics=0, summarization=0.005, extraction=0, conversation=0.159, hangup=0.059}}, created_at=2025-10-08T09:14:22.929735, scheduled_at=2025-10-08T09:14:22.929705, custom_extractions=null, telephony_data={duration=30.0, to_number=+917078187546, provider_call_id=51c68162-7fe0-428d-9146-81d1e238fb28, hosted_telephony=false, recording_url=https://aps1.media.plivo.com/v1/Account/MAZTZJNZBKOWQXMZBIZJ/Recording/58a5ff41-de57-4183-873b-e897c1fda80a.mp3, provider=plivo, hangup_provider_code=4000, from_number=+918035316264, call_type=outbound, hangup_by=Callee, hangup_reason=Call recipient hungup}, context_details={recipient_phone_number=+917078187546, 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=ab41b773-c88e-4cca-9e6d-8ce068f0cdff, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that ?
user: hello
assistant: Hi this is Anita calling from Outspark – a career services platform, part of the Times-of-India Group. Is it a good time to connect with you right now?
user: yeah i'm also working with the out star for the dance of india where you have got my number
assistant: Oh wow, that’s interesting! 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?
, updated_at=2025-10-08T09:16:06.345629, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-08 09:16:06, id=dcc4ba2f-925d-406d-9a43-f4088442ed85, campaign_id=null, summary=Anita from Outspark, a career services platform, called the user to discuss their resume score. The user mentioned they are also involved with Outspark for a dance project. Anita inquired if the user is looking for a job change or just updating their resume., error_message=null, rescheduled_at_str=null, agent_extraction={"asst_T3MUlbYNAcyJN8Sd6SgOdOpc": {"dispositions": {"disposition_1": "Lead", "disposition_2": "Interested", "disposition_3": "Resume Update"}}}, transfer_call_data=null, parsedAgentExtraction={asst_T3MUlbYNAcyJN8Sd6SgOdOpc={dispositions={disposition_1=Lead, disposition_2=Interested, disposition_3=Resume Update}}}, smart_status=dropped, conversation_duration=28.9, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=29.199938, provider_connected=false}, transcriber_duration=29.199938, transcriber_model=nova-3, synthesizer_characters=307, 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={gpt-4o-mini={output=54, input=109}, azure_gpt-4_1-mini={output=69, input=3704}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=54, input=109, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=69, input=3704, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup={output=14, input=3968, provider_connected=false, provider=openai, model=gpt-4o-mini}}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-08 09:14:22, status=completed}
{created_at_str=2025-10-08 09:14:22, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, total_cost=3.74, batch_id=null, cost_breakdown={synthesizer=3.07, transcriber=0.448, synthesizer_breakdown={welcome_message=0, conversation=3.07}, llm=0.223, platform=0, transcriber_breakdown={analytics=0, conversation=0.448}, network=0, llm_breakdown={analytics=0, summarization=0.005, extraction=0, conversation=0.159, hangup=0.059}}, created_at=2025-10-08T09:14:22.929735, scheduled_at=2025-10-08T09:14:22.929705, custom_extractions=null, telephony_data={duration=0.0, to_number=+917078187546, provider_call_id=51c68162-7fe0-428d-9146-81d1e238fb28, 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=+917078187546, 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=ab41b773-c88e-4cca-9e6d-8ce068f0cdff, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that ?
user: hello
assistant: Hi this is Anita calling from Outspark – a career services platform, part of the Times-of-India Group. Is it a good time to connect with you right now?
user: yeah i'm also working with the out star for the dance of india where you have got my number
assistant: Oh wow, that’s interesting! 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?
, updated_at=2025-10-08T09:15:56.96367, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-08 09:15:56, id=dcc4ba2f-925d-406d-9a43-f4088442ed85, campaign_id=null, summary=Anita from Outspark, a career services platform, called the user to discuss their resume score. The user mentioned they are also involved with Outspark for a dance project. Anita inquired if the user is looking for a job change or just updating their resume., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=28.9, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=29.199938, provider_connected=false}, transcriber_duration=29.199938, transcriber_model=nova-3, synthesizer_characters=307, 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={gpt-4o-mini={output=54, input=109}, azure_gpt-4_1-mini={output=69, input=3704}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=54, input=109, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=69, input=3704, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup={output=14, input=3968, provider_connected=false, provider=openai, model=gpt-4o-mini}}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-08 09:14:22, status=call-disconnected}
{created_at_str=2025-10-08 09:14:22, 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=2025-10-08T09:14:22.929735, scheduled_at=2025-10-08T09:14:22.929705, custom_extractions=null, telephony_data={duration=0.0, to_number=+917078187546, provider_call_id=51c68162-7fe0-428d-9146-81d1e238fb28, 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=+917078187546, 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=ab41b773-c88e-4cca-9e6d-8ce068f0cdff, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-08T09:15:24.508114, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-08 09:15:24, id=dcc4ba2f-925d-406d-9a43-f4088442ed85, 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=2025-10-08 09:14:22, status=in-progress}
{created_at_str=2025-10-08 09:14:22, 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=2025-10-08T09:14:22.929735, scheduled_at=2025-10-08T09:14:22.929705, custom_extractions=null, telephony_data={duration=0.0, to_number=+917078187546, provider_call_id=51c68162-7fe0-428d-9146-81d1e238fb28, 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=+917078187546, 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=ab41b773-c88e-4cca-9e6d-8ce068f0cdff, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-08T09:14:25.240097, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-08 09:14:25, id=dcc4ba2f-925d-406d-9a43-f4088442ed85, 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=2025-10-08 09:14:22, status=ringing}
{created_at_str=2025-10-08 09:14:22, 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=2025-10-08T09:14:22.929735, scheduled_at=2025-10-08T09:14:22.929705, custom_extractions=null, telephony_data={duration=0.0, to_number=+917078187546, provider_call_id=51c68162-7fe0-428d-9146-81d1e238fb28, 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=+917078187546, 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=ab41b773-c88e-4cca-9e6d-8ce068f0cdff, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-08T09:14:23.750491, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-08 09:14:23, id=dcc4ba2f-925d-406d-9a43-f4088442ed85, 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=2025-10-08 09:14:22, status=initiated}
{created_at_str=2025-10-08 09:07:23, 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=2025-10-08T09:07:23.193683, scheduled_at=2025-10-08T09:07:23.193646, custom_extractions=null, telephony_data={duration=0.0, to_number=+917078187546, provider_call_id=da5f6306-aed2-449e-b46d-c8cfaaf258d5, 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=+917078187546, recipient_data={recipient_phone_number=null, review_completed=2025-10-08 14:26:56, callback_request_id=null, is_callback=null, fullName=Nilesh, resume_review_id=68e6271318c34103788cce8d, reviewDetails={overallScore={score=65, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The layout is generally clean with clear headings, but lacks a definitive structure making some sections blend together. Enhancing section separation with consistent spacing and possibly borders would improve readability., score=68, readability=Overall readability is hampered by dense blocks of text in some sections, particularly under projects. Breaking these into bullet points could aid quick scanning and comprehension., essentialSectionsPresence=All essential sections such as Experience, Education, and Skills are present, but lack a clearly defined chronological order which is crucial for readability. Organizing the experience section most recent first would be beneficial., scale=100}, atsReadabilityScore={feedback=The resume is adequately structured for ATS systems with clear headings and relevant keywords. However, ensuring all sections are labeled consistently would further optimize scanning., score=70, scale=100, keyElementsReadableByATS=General structure is conducive to ATS, but separating technologies under distinct 'Skills' labels could help improve ATS parsing efficiency. Including keywords such as specific technology names and methodologies would be beneficial.}, impact={feedback=The resume has some good points that hint at the impact of the candidate's work but lacks concrete data. Injecting more quantifiable achievements could significantly enhance impact., score=62, spellCheck=The resume appears to be free from spelling errors, though checking consistency in terms such as capitalization of technologies is recommended., bulletPointsUsage=Bullet points are utilized throughout the resume, but they are occasionally too lengthy and contain too much detail. Shortening each point and focusing on key achievements would sharpen the impact., weakActionVerbs=Some action verbs used, such as 'create' and 'working on,' do not convey strong initiative. Changing to verbs like 'executed' or 'spearheaded' could convey stronger leadership and results., scale=100, quantifyingImpact=There are very few instances of quantified accomplishments. For example, mentioning the percentage decrease in load time or increases in app ratings would clarify achievements., repetitionAvoidance=There is occasional repetition in the descriptions such as 'development, design, and implementation,' which could be rephrased or varied to maintain engagement., accomplishmentLanguage=The language sometimes describes duties rather than accomplishments, reducing the potential to display initiative and success concretely. Restructuring with more dynamic verbs and results-focused descriptions could help.}, crispness={feedback=While the resume isn't overly lengthy, several sections, particularly 'Work Experience,' contain excessive details that could be condensed. Focus on brevity without losing depth of accomplishments., resumeLength=The resume's length is acceptable for the level of experience, but some sections could be condensed to focus on most impactful achievements., score=60, bulletPointsCount=There are a sufficient number of bullet points used, though some sections are too dense and might benefit from summarization for scan-ability., fillerWords=A few filler words could be removed to enhance clarity. Phrases like 'various type of application' could be enhanced to be more specific., bulletPointLength=Bullet points tend to be too long, which might deter readers from skimming effectively. Ensuring each point is single concise statement would improve clarity., scale=100}, qualityAddOn={feedback=The resume mostly adheres to professional standards, though could be improved by removing some jargon and ensuring consistency. Consistent formatting would enhance the reader's focus on content., score=65, buzzwordsCliches=A few buzzwords like 'strategically planned' without supportive details could be replaced with precise language describing specific achievements., datesFormatting=Dates are generally formatted well, but ensuring consistent formatting across sections is crucial for professionalism. Using a single date format enhances uniformity., activeVoice=The resume generally uses an active voice, but some sections could be improved by emphasizing direct actions performed by the candidate., scale=100, personalPronounsUsage=The use of personal pronouns has been mostly avoided, maintaining professionalism. Continue to use an objective tone throughout.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-08T09:08:29.16478, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-08 09:08:29, id=ab41b773-c88e-4cca-9e6d-8ce068f0cdff, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-08 09:07:23, status=no-answer}
{created_at_str=2025-10-08 09:07:23, 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=2025-10-08T09:07:23.193683, scheduled_at=2025-10-08T09:07:23.193646, custom_extractions=null, telephony_data={duration=0.0, to_number=+917078187546, provider_call_id=da5f6306-aed2-449e-b46d-c8cfaaf258d5, 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=+917078187546, recipient_data={recipient_phone_number=null, review_completed=2025-10-08 14:26:56, callback_request_id=null, is_callback=null, fullName=Nilesh, resume_review_id=68e6271318c34103788cce8d, reviewDetails={overallScore={score=65, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The layout is generally clean with clear headings, but lacks a definitive structure making some sections blend together. Enhancing section separation with consistent spacing and possibly borders would improve readability., score=68, readability=Overall readability is hampered by dense blocks of text in some sections, particularly under projects. Breaking these into bullet points could aid quick scanning and comprehension., essentialSectionsPresence=All essential sections such as Experience, Education, and Skills are present, but lack a clearly defined chronological order which is crucial for readability. Organizing the experience section most recent first would be beneficial., scale=100}, atsReadabilityScore={feedback=The resume is adequately structured for ATS systems with clear headings and relevant keywords. However, ensuring all sections are labeled consistently would further optimize scanning., score=70, scale=100, keyElementsReadableByATS=General structure is conducive to ATS, but separating technologies under distinct 'Skills' labels could help improve ATS parsing efficiency. Including keywords such as specific technology names and methodologies would be beneficial.}, impact={feedback=The resume has some good points that hint at the impact of the candidate's work but lacks concrete data. Injecting more quantifiable achievements could significantly enhance impact., score=62, spellCheck=The resume appears to be free from spelling errors, though checking consistency in terms such as capitalization of technologies is recommended., bulletPointsUsage=Bullet points are utilized throughout the resume, but they are occasionally too lengthy and contain too much detail. Shortening each point and focusing on key achievements would sharpen the impact., weakActionVerbs=Some action verbs used, such as 'create' and 'working on,' do not convey strong initiative. Changing to verbs like 'executed' or 'spearheaded' could convey stronger leadership and results., scale=100, quantifyingImpact=There are very few instances of quantified accomplishments. For example, mentioning the percentage decrease in load time or increases in app ratings would clarify achievements., repetitionAvoidance=There is occasional repetition in the descriptions such as 'development, design, and implementation,' which could be rephrased or varied to maintain engagement., accomplishmentLanguage=The language sometimes describes duties rather than accomplishments, reducing the potential to display initiative and success concretely. Restructuring with more dynamic verbs and results-focused descriptions could help.}, crispness={feedback=While the resume isn't overly lengthy, several sections, particularly 'Work Experience,' contain excessive details that could be condensed. Focus on brevity without losing depth of accomplishments., resumeLength=The resume's length is acceptable for the level of experience, but some sections could be condensed to focus on most impactful achievements., score=60, bulletPointsCount=There are a sufficient number of bullet points used, though some sections are too dense and might benefit from summarization for scan-ability., fillerWords=A few filler words could be removed to enhance clarity. Phrases like 'various type of application' could be enhanced to be more specific., bulletPointLength=Bullet points tend to be too long, which might deter readers from skimming effectively. Ensuring each point is single concise statement would improve clarity., scale=100}, qualityAddOn={feedback=The resume mostly adheres to professional standards, though could be improved by removing some jargon and ensuring consistency. Consistent formatting would enhance the reader's focus on content., score=65, buzzwordsCliches=A few buzzwords like 'strategically planned' without supportive details could be replaced with precise language describing specific achievements., datesFormatting=Dates are generally formatted well, but ensuring consistent formatting across sections is crucial for professionalism. Using a single date format enhances uniformity., activeVoice=The resume generally uses an active voice, but some sections could be improved by emphasizing direct actions performed by the candidate., scale=100, personalPronounsUsage=The use of personal pronouns has been mostly avoided, maintaining professionalism. Continue to use an objective tone throughout.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-08T09:07:27.712845, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-08 09:07:27, id=ab41b773-c88e-4cca-9e6d-8ce068f0cdff, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-08 09:07:23, status=ringing}
{created_at_str=2025-10-08 09:07:23, 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=2025-10-08T09:07:23.193683, scheduled_at=2025-10-08T09:07:23.193646, custom_extractions=null, telephony_data={duration=0.0, to_number=+917078187546, provider_call_id=da5f6306-aed2-449e-b46d-c8cfaaf258d5, 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=+917078187546, recipient_data={recipient_phone_number=null, review_completed=2025-10-08 14:26:56, callback_request_id=null, is_callback=null, fullName=Nilesh, resume_review_id=68e6271318c34103788cce8d, reviewDetails={overallScore={score=65, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The layout is generally clean with clear headings, but lacks a definitive structure making some sections blend together. Enhancing section separation with consistent spacing and possibly borders would improve readability., score=68, readability=Overall readability is hampered by dense blocks of text in some sections, particularly under projects. Breaking these into bullet points could aid quick scanning and comprehension., essentialSectionsPresence=All essential sections such as Experience, Education, and Skills are present, but lack a clearly defined chronological order which is crucial for readability. Organizing the experience section most recent first would be beneficial., scale=100}, atsReadabilityScore={feedback=The resume is adequately structured for ATS systems with clear headings and relevant keywords. However, ensuring all sections are labeled consistently would further optimize scanning., score=70, scale=100, keyElementsReadableByATS=General structure is conducive to ATS, but separating technologies under distinct 'Skills' labels could help improve ATS parsing efficiency. Including keywords such as specific technology names and methodologies would be beneficial.}, impact={feedback=The resume has some good points that hint at the impact of the candidate's work but lacks concrete data. Injecting more quantifiable achievements could significantly enhance impact., score=62, spellCheck=The resume appears to be free from spelling errors, though checking consistency in terms such as capitalization of technologies is recommended., bulletPointsUsage=Bullet points are utilized throughout the resume, but they are occasionally too lengthy and contain too much detail. Shortening each point and focusing on key achievements would sharpen the impact., weakActionVerbs=Some action verbs used, such as 'create' and 'working on,' do not convey strong initiative. Changing to verbs like 'executed' or 'spearheaded' could convey stronger leadership and results., scale=100, quantifyingImpact=There are very few instances of quantified accomplishments. For example, mentioning the percentage decrease in load time or increases in app ratings would clarify achievements., repetitionAvoidance=There is occasional repetition in the descriptions such as 'development, design, and implementation,' which could be rephrased or varied to maintain engagement., accomplishmentLanguage=The language sometimes describes duties rather than accomplishments, reducing the potential to display initiative and success concretely. Restructuring with more dynamic verbs and results-focused descriptions could help.}, crispness={feedback=While the resume isn't overly lengthy, several sections, particularly 'Work Experience,' contain excessive details that could be condensed. Focus on brevity without losing depth of accomplishments., resumeLength=The resume's length is acceptable for the level of experience, but some sections could be condensed to focus on most impactful achievements., score=60, bulletPointsCount=There are a sufficient number of bullet points used, though some sections are too dense and might benefit from summarization for scan-ability., fillerWords=A few filler words could be removed to enhance clarity. Phrases like 'various type of application' could be enhanced to be more specific., bulletPointLength=Bullet points tend to be too long, which might deter readers from skimming effectively. Ensuring each point is single concise statement would improve clarity., scale=100}, qualityAddOn={feedback=The resume mostly adheres to professional standards, though could be improved by removing some jargon and ensuring consistency. Consistent formatting would enhance the reader's focus on content., score=65, buzzwordsCliches=A few buzzwords like 'strategically planned' without supportive details could be replaced with precise language describing specific achievements., datesFormatting=Dates are generally formatted well, but ensuring consistent formatting across sections is crucial for professionalism. Using a single date format enhances uniformity., activeVoice=The resume generally uses an active voice, but some sections could be improved by emphasizing direct actions performed by the candidate., scale=100, personalPronounsUsage=The use of personal pronouns has been mostly avoided, maintaining professionalism. Continue to use an objective tone throughout.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-08T09:07:26.025363, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-08 09:07:26, id=ab41b773-c88e-4cca-9e6d-8ce068f0cdff, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-08 09:07:23, status=initiated}
Context Details
{recipient_phone_number=+917078187546, recipient_data={recipient_phone_number=null, review_completed=2025-10-08 14:26:56, callback_request_id=null, is_callback=null, fullName=Nilesh, resume_review_id=68e6271318c34103788cce8d, parentBolnaId=null, attemptType=null}, resume_review_id=null}