Call Details

Bolna ID: 49051c41-1608-4257-baeb-d7ee1031dbae

Phone: +919001456621

From: +918035316264

Status: completed

Processing: PENDING

Duration: 35.20s

Cost: ₹8.25

Hangup Details

Hangup By: Callee

Reason: Call recipient hungup

Timestamps

Started:
2025-10-01 08:59:58

Ended:
2025-10-01 09:00:55

Last Processed:
2025-10-01 14:31:56

Last Retry At:
2025-10-01 14:31:56

Next Retry Scheduled:
Not scheduled

Next Call Scheduled:
Not scheduled

Call Timeline 7
2025-10-01 14:29:58
CALLBACK_INITIATED MAIN
CALL_SERVICE
₹0.00
Duration: 0.00s
2025-10-01 14:30:06
INITIATED MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-01 14:30:07
RINGING MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-01 14:30:12
IN_PROGRESS MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-01 14:30:51
IN_PROGRESS MAIN
CALLBACK_UPDATE
₹5.25
Duration: 35.20s
2025-10-01 14:30:56
COMPLETED MAIN
CALLBACK_UPDATE
₹8.25
Duration: 35.20s
Metadata: {asst_T3MUlbYNAcyJN8Sd6SgOdOpc={dispositions={disposition_1=Interested, disposition_2=Resume Services, disposition_3=Resume Score Inquiry}}}
2025-10-01 14:31:56
ADDITIONAL_DETAILS_FETCH_SUCCESS MAIN
ADDITIONAL_DETAILS_FETCH_SERVICE
₹0.00
Duration: 0.00s
Metadata: {timestamp=2025-10-01 14:31:56, message=Successfully fetched and saved additional details}
Call History (Raw Callbacks) 5

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user:  hello
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user:  nancy
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user:  yes
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user:  yes
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user:  nancy
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user:  yes
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user:  yes
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This approach keeps the focus on skills and achievements rather than the individual.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-01T09:00:07.097037, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-01 09:00:07, id=49051c41-1608-4257-baeb-d7ee1031dbae, 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=136, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=136}, 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=2025-10-01 08:59:58, status=ringing}

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Using headings and subheadings with larger fonts or bold text can improve clarity and reader engagement., score=57, readability=The readability suffers due to dense text blocks and lack of visual hierarchy. Breaking down information using clear sections and consistent formatting improves reader engagement and comprehension., essentialSectionsPresence=Essential sections like Work Experience and Education are present, but the order could be improved by placing the most recent experience first. The declaration section is unnecessary and should be removed., scale=100}, atsReadabilityScore={feedback=The detail in contact information is clear and usually ATS-friendly, but specific terms and labels are sporadically used throughout the document. Consistent application of industry-related keywords can further aid ATS parsing., score=60, scale=100, keyElementsReadableByATS=Key elements like the candidate's full name and contact details are ATS-readable, which is beneficial. However, applying consistent formatting with clear labels can enhance keyword optimization for ATS systems.}, impact={feedback=The resume utilizes bullet points, but they are often lengthy without focusing on quantifiable achievements. Including more performance metrics can significantly enhance the impact of the achievements., score=50, spellCheck=The document doesn't have any noticeable spelling errors, which enhances professionalism. Regular spell-checks and grammar-proofing tools could maintain accuracy., bulletPointsUsage=Bullet points are present in the work experience section but tend to be verbose. Ensuring they are concise and focused on achievements rather than duties would make them more effective., weakActionVerbs=Some bullet points contain weak action verbs that don't strongly convey achievement. Replacing generic verbs with stronger, specific ones like 'improved', 'developed', or 'led' could strengthen statements., scale=100, quantifyingImpact=There is little quantification of achievements, which weakens the impact of the content. Providing specific numbers or percentages related to accomplishments can help to demonstrate value effectively., repetitionAvoidance=There is noticeable repetition in the descriptions, such as frequently listing routine tasks. Diversifying the language and focusing on varied accomplishments would add more depth., accomplishmentLanguage=The language used is largely task-oriented and lacks a focus on accomplishments. Reducing jargon and orienting the language towards outcomes and results would improve its professional punch.}, crispness={feedback=The resume is overly lengthy given the applicant's experience level, which could deter attention from key achievements. Condensing the content by focusing on relevant details will improve crispness., resumeLength=The resume runs too long with information that could be trimmed or summarized. It's crucial to maintain a balance between detail and brevity to keep it suitable for a quick review., score=48, bulletPointsCount=There are a large number of bullet points that dilute focus and clarity. Prioritizing the most relevant and impactful points in each section would enhance clarity and attention., fillerWords=The presence of filler words and over-explained sentences reduces impact. Removing unnecessary words and focusing on concise, clear statements would provide a sharper presentation., bulletPointLength=Bullet points are often too verbose, turning them into small paragraphs. They should be kept to one to two lines to ensure they are easily digestible., scale=100}, qualityAddOn={feedback=The resume has several buzzwords and lacks specific instances of personal achievements. Replacing clichés with detailed accomplishments specific to your experience improves depth and seriousness., score=53, buzzwordsCliches=Buzzwords like 'excellent communication skills' are overused and nonspecific. Replacing these with specific examples of communication achievements would provide more insight into personal strengths., datesFormatting=Inconsistent date formatting may confuse or deter readers. Ensuring all dates are formatted uniformly and clearly improves professionalism and reader ease., activeVoice=Most of the resume is written in passive voice, which can weaken the impact. Rewriting sentences using active voice would provide more direct and compelling statements., scale=100, personalPronounsUsage=The use of personal pronouns is appropriately avoided, which maintains a professional tone. This approach keeps the focus on skills and achievements rather than the individual.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-01T09:00:05.898505, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-01 09:00:05, id=49051c41-1608-4257-baeb-d7ee1031dbae, 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=136, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=136}, 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=2025-10-01 08:59:58, status=initiated}