See TranscriptIntel in Action

Transcript Ingestion & Normalization

Accepts VTT, SRT, DOCX, PDF, plain text, and Excel uploads; detects format, validates structure, normalizes to a canonical internal schema with speaker labels and timestamps.

Speaker Diarization & Role Classification

Identifies distinct speakers, assigns roles (interviewer vs. participant, lead vs. support), and resolves ambiguous or mislabeled speaker tags.

Interview vs. Non-Interview Triage

Classifies incoming transcripts as formal interviews, meetings, panel discussions, or other conversation types; flags completeness issues (missing intro/conclusion, truncated recordings).

Behavioral DNA Classification

Reads a transcript and classifies the participant into one (or a hybrid blend) of the six Behavioral DNA personas — Trailblazer, Evidence Harmonizer, Risk Sentinel, Support Navigator, Protocol Guardian, Operational Pragmatist — with confidence scores and source evidence.

Halo: Dimension Tagging

Tags transcript segments by evaluation dimension (efficacy perception, safety, prescribing behavior, formulary, competitive landscape, etc.) and produces a Coverage Map showing which dimensions have direct evidence and which are gaps.

Interviewer Archetype Classification

Profiles the interviewer across the five archetypes (Explorer, Facilitator, Strategist, Connector, Analyst) using question style, follow-up patterns, rapport signals, and time management behavior.

Hybrid Persona Detection

Identifies when a participant shifts between Behavioral DNA segments during a conversation and maps the triggers for each shift.

Quote Mining

Extracts key verbatim quotes, tags them by theme and Behavioral DNA persona, scores sentiment and certainty, and links each quote to its timestamp and surrounding context.

Sentiment Progression

Maps emotional tone across the full timeline of a conversation — detecting shifts, inflection points, and the triggers that caused them (a question, a topic change, a competitor mention).

Competitive Intelligence Extraction

Detects mentions of competitors, products, brands, and alternatives; captures positioning comparisons, switching triggers, preference rationale, and pricing/access commentary.

Theme & Topic Extraction

Identifies emergent themes, clusters related topics, tracks topic prevalence across a corpus, and surfaces unexpected or low-frequency topics that manual reviewers often miss.

Needs & Unmet-Need Prioritizer

Identifies pain points, frustrations, workarounds, and wishlist items; scores each by urgency, frequency across interviews, and feasibility signals.

Decision Journey Mapper

Reconstructs the participant's decision-making process step by step — who influenced them, what information mattered, where they got stuck.

Executive Summary

Generates a structured executive summary with configurable depth and target audience — key findings, methodology notes, and confidence indicators drawn directly from transcript evidence.

Emotion Arc & Trajectory

Maps utterance-level emotion, speaker stance, and valence-arousal-dominance (VAD) signals across the conversation, producing a smoothed emotional trajectory linked to topics and inflection points.

Interviewer Quality Scoring

Scores an interview across the weighted framework: question quality (25%), engagement & rapport (20%), information extraction (25%), professional skills (15%), objective achievement (15%).

AI Interview Coach — Pre-Interview Prep

Takes the upcoming interview context (topic, participant profile, objectives) and generates a tailored preparation brief: suggested question flow, persona-aware probing strategies, potential pitfalls based on the interviewer's archetype weaknesses.

AI Interview Coach — Post-Interview Debrief

Analyzes a completed interview against the prep brief and the interviewer's archetype profile; identifies excellent moments with timestamps, missed opportunities, and generates targeted micro-learning recommendations.

Persona Construction

Takes a dimensionally-tagged transcript and builds a structured persona profile: metadata, behavioral markers, prompt directives, segment classification, and source evidence — following the modular, dimension-by-dimension approach to minimize halo contamination.

Halo: Counterfactual Injection & Testing

Takes a generated persona and injects contradictory evidence on one dimension, then evaluates whether the persona's other dimensions shift appropriately or collapse in lockstep.

Synthetic Transcript Generation

Takes a generator config (domain, persona segment, focus asset, duration, setting, challenges) and produces a realistic VTT transcript with proper timestamps, natural dialogue flow, and behavioral authenticity.

Generator Config Builder

Interactively helps users construct generator configs by asking about their domain, target persona, scenario goals, and constraints; validates the config against the schema and suggests realistic parameter combinations.

Behavioral DNA Segment Generator

Generates behavioral DNA persona segments for any domain — demographic markers, behavioral traits, and decision-making styles — that drive synthetic respondent behavior in transcript generation.

Corpus-Level Trend Analyzer

Runs across a batch of analyzed transcripts and surfaces cross-interview patterns: shifting sentiment over time, emerging themes, persona distribution skews, competitive positioning trends.

Stakeholder Influence Mapper

Identifies who influences the participant's decisions — named individuals, roles, organizations, peer networks — and maps the influence topology from conversational evidence.

Cross-Industry Comparison

Takes analysis outputs from transcripts across different domains and identifies structural parallels — similar decision patterns, shared behavioral archetypes operating under different terminology, transferable insights.

Thematic Analysis Report

Synthesizes a thematic analysis report from cross-transcript evidence, clustering findings by theme with supporting quotes and confidence scoring across a corpus of interviews.

PII/PHI Detection & Redaction

Scans transcripts for personally identifiable information, protected health information, and other sensitive data; flags or auto-redacts based on configurable policies (GDPR, HIPAA, CJIS).

Regulatory Compliance Auditor

Reviews persona outputs and analysis reports against regulatory guardrails: flags claims not supported by transcript evidence, identifies language that could be misinterpreted as real HCP testimony, and checks that confidence labels are attached.

Adverse Event & Safety Signal Detector

Scans HCP and patient transcripts for mentions of adverse events, side effects, safety concerns, near-misses, and off-label consequences — tagging each by severity, causality language, and attribution.

Clinical Decision Factor Analyzer

Extracts the specific factors an HCP weighs when choosing a treatment — efficacy data thresholds, safety tolerability, dosing convenience, formulary status, patient profile fit, prior authorization burden — and ranks them by decisiveness.

Formulary & Market Access Barrier

Identifies every mention of formulary hurdles, prior authorization friction, step-therapy requirements, payer pushback, reimbursement challenges, and patient cost burden — and links each to the specific payer type or access pathway discussed.

KOL Identification & Influence Mapping

Detects when an HCP references specific colleagues, thought leaders, society guidelines, conference presentations, or institutional protocols that influenced their opinion — building a map of who and what shapes prescribing behavior.

Patient Voice & Experience Extraction

Processes patient interview transcripts to extract the lived experience: symptom burden, emotional journey, caregiver dynamics, treatment expectations vs. reality, adherence patterns, and language the patient actually uses.

Medication Adherence Insight

Extracts adherence-specific intelligence from patient transcripts: self-reported adherence, reasons for missing doses, practical/emotional/financial barriers, coping strategies, support systems, and medication beliefs.

Clinical Trial Readiness Assessment

Processes patient interviews to score trial participation readiness across logistical, clinical, and psychological dimensions — surfacing motivations, concerns, deal-breakers, and information needs.

Message Effectiveness Testing

Evaluates how an HCP received a specific message or value proposition — tracking engagement signals, objection triggers, areas where the message landed vs. fell flat, and the HCP's restatement in their own words.

Therapeutic Area Signal Detector

Auto-detects the therapeutic context of a conversation — disease state, patient population, treatment line, relevant biomarkers — and maps conversational cues to current treatment guidelines and society recommendations.

Objection Pattern Analyzer

Catalogs every objection an HCP raises about a product, classifies each by type and severity, and cross-references with the HCP's Behavioral DNA to predict which objection-handling approach is most likely to work.

HCP Prescribing Behavior Profiler

Extracts the HCP's actual prescribing patterns from interview evidence: what they prescribe first-line vs. second-line, what triggers a switch, what makes them loyal to a brand, and their comfort level with different drug classes.

Payer Persona & Objection

Processes payer/formulary committee interview transcripts — extracting coverage criteria, cost-effectiveness thresholds, HEOR evidence requirements, preferred step-therapy pathways, and the specific objections payers raise against new entries.

Advisory Board Simulation Readiness

Takes a panel of generated personas and evaluates whether the panel has sufficient diversity, genuine independence between personas, and realistic disagreement potential — flagging halo contamination, missing perspectives, and gaps in Behavioral DNA coverage.