Call Details

Bolna ID: db829f77-cfb5-43e3-92f4-3f709559070e

Phone: +919346240696

From: +918035316264

Status: completed

Processing: COMPLETED

Duration: 7.30s

Cost: ₹0.61

Hangup Details

Hangup By: Callee

Reason: Call recipient hungup

Timestamps

Started:
2025-10-11 16:55:10

Ended:
Not set

Last Processed:
2025-10-11 16:57:09

Last Retry At:
2025-10-11 16:57:09

Next Retry Scheduled:
2025-10-11 17:00:42

Next Call Scheduled:
2025-10-11 17:00:42

Call Timeline 10
2025-10-11 16:55:11
CALLBACK_INITIATED MAIN
CALL_SERVICE
₹0.00
Duration: 0.00s
2025-10-11 16:55:13
INITIATED MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-11 16:55:14
RINGING MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-11 16:55:24
IN_PROGRESS MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-11 16:55:42
COMPLETED MAIN
CALLBACK_UPDATE
₹0.11
Duration: 7.30s
2025-10-11 16:55:42
MAIN_CALL_FAILED MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {reason=Main call failed with terminal status, status=COMPLETED}
2025-10-11 16:55:42
RETRY_CREATED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {reason=Main call failed with status: COMPLETED, attempt_no=1}
2025-10-11 16:55:49
COMPLETED MAIN
CALLBACK_UPDATE
₹0.61
Duration: 7.30s
Metadata: {asst_T3MUlbYNAcyJN8Sd6SgOdOpc={dispositions={disposition_1=Call Not Connected, disposition_2=, disposition_3=}}}
2025-10-11 16:57:09
RETRY_CANCELLED MAIN
ADDITIONAL_DETAILS_FETCH_SERVICE
₹0.00
Duration: 0.00s
Metadata: {message=Scheduled-uninitiated retry cancelled due to main completion, timestamp=2025-10-11 16:57:09}
2025-10-11 16:57:09
ADDITIONAL_DETAILS_FETCH_SUCCESS MAIN
ADDITIONAL_DETAILS_FETCH_SERVICE
₹0.00
Duration: 0.00s
Metadata: {message=Successfully fetched and saved additional details, timestamp=2025-10-11 16:57:09}
Call History (Raw Callbacks) 5

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This helps maintain an objective and formal tone throughout.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-11T11:25:13.691463, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-11 11:25:13, id=db829f77-cfb5-43e3-92f4-3f709559070e, 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=20, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=20}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-11 11:25:11, status=ringing}

{created_at_str=2025-10-11 11:25:11, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0.0, transcriber=0, synthesizer_breakdown={welcome_message=0.0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-10-11T11:25:11.136363, scheduled_at=2025-10-11T11:25:11.136323, custom_extractions=null, telephony_data={duration=0.0, to_number=+919346240696, provider_call_id=341843c7-6c2a-4be5-b8da-a7665a6da839, 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=+919346240696, recipient_data={recipient_phone_number=null, review_completed=2025-10-11 16:45:03, callback_request_id=null, is_callback=null, fullName=Jaswanth, resume_review_id=68ea3bec18c34103788d7b6a, reviewDetails={overallScore={score=60.4, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume has a clear structure with essential sections such as Profile, Experience, and Education. However, minor inconsistencies in the presentation, like the spacing and alignment issues, hinder top-notch readability and immediate access to information., score=65, readability=While the text is generally readable, dense blocks of text in some parts of the Experience section reduce quick scanning capabilities. Breaking up these blocks into shorter bullet points could enhance readability and reader engagement., essentialSectionsPresence=All necessary sections, including Profile, Key Impact Areas, Experience, Education, and Certifications, are present. Nonetheless, the resume would benefit from a clearly defined Skills section to quickly showcase core competencies., scale=100}, atsReadabilityScore={feedback=The resume is well-structured for ATS readability, with clear headings and appropriately separated sections. However, incorporating more role-specific keywords could further boost ATS compatibility., score=66, scale=100, keyElementsReadableByATS=Key elements such as name, contact information, and work history are clearly identifiable by ATS. Improving on keyword density for specific technologies or processes can refine the parsing efficiency.}, impact={feedback=The resume successfully uses bullet points to highlight responsibilities, but it lacks quantifiable impacts that demonstrate achievements. Stronger action verbs and clearer accomplishment-driven language would vastly improve perceived impact., score=58, spellCheck=The resume is generally free of spelling errors, contributing positively to professionalism. However, ensuring consistent grammar and punctuation would add polish., bulletPointsUsage=Bullet points are used effectively to differentiate job responsibilities from one another. However, some overlap in tasks described across similar positions could be better streamlined with unique achievements highlighted., weakActionVerbs=While the resume includes technical detail, it occasionally defaults to generic verbs like 'worked on,' which don't convey strong impact. Alternative verbs could include 'optimized,' 'enhanced,' or 'propelled.', scale=100, quantifyingImpact=There are attempts to quantify impact, such as managing multi-environment infrastructure, but more specific achievements would enhance this section, e.g., 'increased efficiency by 20% through automated deployment procedures.', repetitionAvoidance=There is notable repetition of action verbs like 'Implemented' and 'Managed' across different roles. Diversifying the language used to describe achievements could enrich this section's overall impact., accomplishmentLanguage=The language is occasionally passive and could be more accomplishment-oriented. Phrases that emphasize direct outcomes or impacts, like 'led to a 30% reduction in deployment time,' would strengthen the narrative.}, crispness={feedback=While the resume length is appropriate for the candidate's experience level, there is room to make it more concise by trimming redundant information. A shift towards more succinct bullet points would increase readability and impact., resumeLength=The resume's length is reasonable given the 8.9 years of experience showcased. However, condensing certain sections could prevent reader fatigue and highlight key points more effectively., score=53, bulletPointsCount=The number of bullet points per position is excessive in some areas, which risks overwhelming impact without detailed exploration. Focusing each section on 3-5 key achievements would streamline comprehension., fillerWords=The document includes filler phrases that could be eliminated. For instance, phrases like 'actively involved in...' could just state the action or achievement directly., bulletPointLength=Many bullet points are overly long, occasionally resembling short paragraphs. Breaking these down into shorter, punchier statements would make the information more digestible., scale=100}, qualityAddOn={feedback=The resume makes an effort to utilize active voice, yet occasionally lapses into buzzwords without demonstrating uniqueness. Consistent date formatting would increase professionalism and comprehensibility., score=60, buzzwordsCliches=Although minimal, phrases like 'results-driven' could be replaced with more specific outcomes to avoid clichés and indicate real contributions. Meaningful specifics tend to resonate more with hiring managers., datesFormatting=Dates are generally formatted consistently, but minor deviations could confuse ATS systems. Ensuring all dates follow a uniform 'MM/YYYY' format is advisable for clarity., activeVoice=The resume employs an active voice for the most part, though some passive constructions remain. Transforming these into active voice can amplify the authority and focus of the statements., scale=100, personalPronounsUsage=The resume correctly avoids personal pronouns, which aligns with professional resume standards. This helps maintain an objective and formal tone throughout.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-11T11:25:12.387775, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-11 11:25:12, id=db829f77-cfb5-43e3-92f4-3f709559070e, 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=20, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=20}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-11 11:25:11, status=initiated}
Context Details
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