Dashboard

{created_at_str=2025-10-03 06:48:05, 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=2025-10-03T06:48:05.28911, scheduled_at=2025-10-03T06:48:05.289089, custom_extractions=null, telephony_data={duration=0.0, to_number=+919902932008, provider_call_id=null, hosted_telephony=true, 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=+919902932008, recipient_data={recipient_phone_number=null, review_completed=2025-10-03 12:07:35, callback_request_id=null, is_callback=null, fullName=GOPIKA, resume_review_id=68df6efa9f941c720e6eb9ba, reviewDetails={overallScore={score=59.6, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume is structured with clear sections for Professional Experience, but missing sections like Education and Skills could enhance it. Ensuring these sections are included and properly labeled will improve overall searchability., score=62, readability=The format is largely text-heavy, which can impact quick readability. Consider using headings and spacing more effectively for easier navigation., essentialSectionsPresence=While the Professional Experience section is detailed, the absence of an Education section is a significant gap. Including all essential sections helps the recruiter understand the full scope of qualifications and expertise., scale=100}, atsReadabilityScore={feedback=The resume has basic ATS readability, but could better incorporate relevant industry and role keywords. Keywords would enhance the match in ATS algorithms., score=65, scale=100, keyElementsReadableByATS=Essential details like the candidate's name and roles are present and clear. Focusing on keyword optimization will improve the ATS score and visibility further.}, impact={feedback=The resume lacks consistent use of quantifiable achievements, which makes the impact moderate. Strengthening the language to emphasize results and outcomes can improve this section., score=58, spellCheck=The text is generally free from spelling errors, maintaining professionalism. Regular spell-checking remains essential to uphold this standard., bulletPointsUsage=Bullet points are present but fail to consistently highlight achievements clearly. More precise and impactful bullet points would better showcase accomplishments., weakActionVerbs=The use of basic action verbs does not effectively convey a strong impact. Opting for more dynamic verbs would strengthen the narrative and better communicate success., scale=100, quantifyingImpact=There is limited quantification of achievements, such as specific percentages or figures that demonstrate success. Including more numerical data can significantly boost the perceived impact of roles., repetitionAvoidance=Several action verbs are reused, leading to repetitiveness in descriptions. Diversifying the verbs used will add variety and maintain reader interest., accomplishmentLanguage=The use of accomplishment-oriented language is not prominent, reducing the perceived value of each role. Highlighting outcomes and contributions explicitly would enhance this aspect.}, crispness={feedback=The resume is lengthy with unnecessarily long bullet points that detract from overall conciseness. Reducing the length of bullet points will allow the core message to be communicated better., resumeLength=For the experience level, the document is slightly extended. Condensing some sections would tighten the presentation, making it more engaging., score=56, bulletPointsCount=The heavy reliance on bullet points sometimes leads to information overload. Streamlining these to focus on key achievements will aid the resume’s crispness., fillerWords=Filler words are present, which dilute the message. Eliminating these will sharpen the impact and clarity of statements., bulletPointLength=Many bullet points exceed an optimal length, potentially losing reader engagement. Shortening bullet points while focusing on impact is advisable., scale=100}, qualityAddOn={feedback=The resume contains a few buzzwords and clichés that reduce specificity and impact. Adopting more precise descriptors will enhance perceived quality., score=57, buzzwordsCliches=Common buzzwords undermine the uniqueness of achievements. Replacing these with concrete examples will make descriptions more robust., datesFormatting=Dates are inconsistently formatted, which can confuse readers. Ensuring a uniform date format will improve readability and professionalism across sections., activeVoice=Active voice is generally employed, though some areas could be strengthened. Consistently applying active voice will make the narrative more engaging., scale=100, personalPronounsUsage=There are no personal pronouns used, aligning with professional standards. Maintaining this ensures focus remains on achievements rather than the person.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-03T06:48:09.718313, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-03 06:48:09, id=1f2bac93-a24d-4304-a206-f6da04f5288a, campaign_id=null, summary=null, error_message=Unsupported call number, 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-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=2025-10-03 06:48:05, status=failed}