Dashboard

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{created_at_str=2025-10-13 06:51:11, 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=2025-10-13T06:51:11.676772, scheduled_at=2025-10-13T06:51:11.676743, custom_extractions=null, telephony_data={duration=0.0, to_number=+918072534616, provider_call_id=7765f1cc-fa6a-4df8-964d-7ee90db304ac, 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=+918072534616, recipient_data={recipient_phone_number=null, review_completed=2025-10-13 12:10:12, callback_request_id=null, is_callback=null, fullName=PRITHIVIRAJ, resume_review_id=68ec9e509f941c720e709854, reviewDetails={overallScore={score=59.4, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume is neatly divided into essential sections such as skills, profile, and employment history, which aids readability and accessibility. However, the inclusion of 'Details' is redundant, and the contact information should be streamlined into a single header section., score=60, readability=Readability is clear but could be improved by aligning all sections into a cohesive format and reducing unnecessary details. Consistency in section heading formats is required for better visual flow., essentialSectionsPresence=All fundamental sections like Experience, Education, and Skills are present. However, the 'Extra-curricular Activities' section could be omitted to maintain focus on professional qualifications., scale=100}, atsReadabilityScore={feedback=The structure is ATS-friendly with clear section headings and consistent formatting that programs can navigate easily. Enhancing keyword usage related to QA tools and techniques could improve score further., score=64, scale=100, keyElementsReadableByATS=Key elements such as contact info, job titles, and dates are readable and logically placed for ATS scanning. More action-oriented keywords related to QA functions could further enhance discoverability.}, impact={feedback=Impact is moderately shown with clear roles and responsibilities stated. To enhance impact, more quantifiable achievements should be incorporated., score=58, spellCheck=The resume is mostly free of spelling mistakes, ensuring professionalism. A few typographical errors, like 'speci cations', should be corrected for accuracy., bulletPointsUsage=Bullet points are used effectively to break down responsibilities, but some points are too descriptive and could be more concise. Consider grouping similar tasks together or highlighting notable achievements with a separate bullet point., weakActionVerbs=Action verbs are generally strong, but some points start with weak verbs such as 'write' which could be switched to dynamic words like 'crafted' or 'developed'., scale=100, quantifyingImpact=There is a lack of quantifiable metrics in the achievements which if included, could significantly enhance the impact. Statements like 'improved product quality by 15%' would add value., repetitionAvoidance=There's minimal repetition of duties across roles, which is effective. However, some repeated phrases like 'test scripts' could be varied to maintain engagement., accomplishmentLanguage=The language used reflects accomplishments but lacks a strong results-oriented focus. Incorporating more outcome-based phrases would strengthen the narrative.}, crispness={feedback=The resume is slightly verbose for the level of experience, leading to some sections being overly detailed. Conciseness could be achieved by summarizing lesser roles succinctly., resumeLength=The resume is adequately lengthened for the candidate's experience. However, the introduction of much data for multiple positions could be compressed., score=55, bulletPointsCount=The number of bullet points is adequate, yet some sections have excessive detail which dilutes impact. Focus on trimming these to maintain clarity and focus., fillerWords=Presence of filler words somewhat reduces the crispness. Phrases such as 'currently working on' could be replaced with concrete statements., bulletPointLength=Many bullet points extend beyond a single line which disrupts reading flow. Shortening them would increase readability and retention of key details., scale=100}, qualityAddOn={feedback=Quality of language is fairly professional though it can improve with stronger vocabulary and detail specificity. Avoidance of clichés and precise date formatting would support clarity., score=60, buzzwordsCliches=Buzzwords like 'dynamic' and 'extensive experience' are used excessively without tangible backup. Try replacing them with specific examples of achievements., datesFormatting=Dates are inconsistent in format, which can confuse readers. Standardizing to 'MMM YYYY' throughout adds clarity and professionalism., activeVoice=The use of active voice is prevalent, which is effective. Continuing this practice helps maintain a commanding tone., scale=100, personalPronounsUsage=Personal pronouns are largely avoided as per formal guidelines, which is appropriate. Maintain usage of third-person descriptions to align with professional norms.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T06:51:15.747943, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 06:51:15, id=3c6b8e46-3ef9-42de-b05c-b794f8d68036, 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=23, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=23}, 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=2025-10-13 06:51:11, status=initiated}