Call Details
Bolna ID:
85ea9c48-4fb4-45e9-b076-6cb5186e6abc
Phone: +919673686944
From: +918035316264
Status: COMPLETED
Processing: COMPLETED
Duration: 27.00s
Cost: ₹1.94
Hangup Details
Hangup By: Plivo
Reason: End of inputs from Bolna
Timestamps
Started:
2025-09-28 12:55:34
Ended:
2025-09-28 07:26:45
Last Processed:
Not set
Last Retry At:
Not set
Next Retry Scheduled:
Not scheduled
Next Call Scheduled:
Not scheduled
Call Timeline 6
Call History (Raw Callbacks) 5
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assistant: Ok. I'll hang up now. Thanks for your time.
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Maintaining this approach is recommended.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-09-28T07:25:38.38015, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-09-28 07:25:38, id=85ea9c48-4fb4-45e9-b076-6cb5186e6abc, 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=135, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=135}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-nano={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-nano}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-09-28 07:25:35, status=ringing}
{created_at_str=2025-09-28 07:25:35, agent_id=5c934d64-413f-47ee-8326-981f39f451da, 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=2025-09-28T07:25:35.107734, scheduled_at=2025-09-28T07:25:35.107709, custom_extractions=null, telephony_data={duration=0.0, to_number=+919673686944, provider_call_id=6d0f0837-da1c-4e59-8d20-ffc278fcdcc5, 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=+919673686944, recipient_data={recipient_phone_number=null, review_completed=2025-09-28 12:45:11, callback_request_id=null, is_callback=null, fullName=NIKHIL, resume_review_id=68d8e0419f941c720e6e12d3, reviewDetails={overallScore={score=57.6, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume contains essential sections such as career summary, educational qualifications, and professional experience. However, the ordering is somewhat inconsistent, contributing to less flow and readability., score=63, readability=The resume's readability is impacted by dense blocks of text, particularly under responsibilities. Breaking up text with more section markers or spacing could facilitate easier navigation through the content., essentialSectionsPresence=While the education and experience sections are clearly labeled, the experience section should be more prominently featured as it is crucial for someone with over 7 years of experience. The addition of a skills section might enhance the resume's comprehensiveness., scale=100}, atsReadabilityScore={feedback=The ATS readability is fairly strong, with all pivotal information clearly presented. However, the optimization could be enhanced with better keyword placement., score=60, scale=100, keyElementsReadableByATS=Key sections such as contact information and professional experience are clearly readable by ATS systems. Still, incorporating additional industry-specific keywords would improve ATS performance.}, impact={feedback=The impact of the resume is moderate due to its lack of quantified achievements and heavy reliance on task-oriented language. Greater use of accomplishment-oriented language could enhance its impact., score=58, spellCheck=The resume has a few typographical errors, such as inconsistent capitalization and punctuation that should be rectified. A thorough proofread would eliminate such errors., bulletPointsUsage=Bullet points are used to list responsibilities, which is effective. Nevertheless, each point is dense and could be streamlined to improve clarity and focus on key accomplishments., weakActionVerbs=The resume uses weak action verbs like 'review' and 'prepare,' which could be replaced with more dynamic verbs such as 'analyzed' or 'developed' to better convey initiative., scale=100, quantifyingImpact=There is minimal quantification of impact, such as numerical data or percentage increases in efficiencies that would strengthen the resume. Including specific metrics would help portray achievements more robustly., repetitionAvoidance=There is a noticeable repetition of tasks across different roles. This redundancy should be avoided to make space for more unique contributions in each position., accomplishmentLanguage=The resume largely describes tasks rather than accomplishments, and hence, the language is less than compelling. Shifting to a results-oriented language style would enhance this perspective.}, crispness={feedback=The resume exceeds the ideal length due to excessive detail and redundancy in job roles. A streamlined format that summarizes relevant experience crisply would be more effective., resumeLength=Given the candidate's 7 years of experience, the resume is excessively long. It should be condensed to one or two pages for better crispness and impact., score=52, bulletPointsCount=There is an overuse of bullet points, particularly detailed across various job descriptions. This can overwhelm the reader and dilute key achievements., fillerWords=Numerous filler words reduce the clarity and precision of information. Eliminating non-essential words would help to sharpen the presentation., bulletPointLength=Several bullet points are too long, encompassing multiple sentences and concepts. Reducing each point to a single, clear statement would enhance readability., scale=100}, qualityAddOn={feedback=The resume is largely free of unhelpful buzzwords, but some sections remain vague. Ensuring each section maintains specificity and active voice would enhance quality., score=55, buzzwordsCliches=Buzzwords are minimal, but phrases such as 'understand PFD's & P&ID's' can appear as jargon. More precise descriptions of the results from these activities would be beneficial., datesFormatting=Dates are inconsistently formatted, which hinders uniformity and understanding. Implementing a consistent format, such as 'Month YYYY,' would improve clarity., activeVoice=The use of passive voice in places should be minimized. Employing active voice throughout would improve the resume's directness and engagement., scale=100, personalPronounsUsage=Personal pronouns are not used, which aligns with professional resume standards. Maintaining this approach is recommended.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-09-28T07:25:37.297476, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-09-28 07:25:37, id=85ea9c48-4fb4-45e9-b076-6cb5186e6abc, 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=135, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=135}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-nano={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-nano}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-09-28 07:25:35, status=initiated}