User Guide - A product walk through
Stages of Analysis
Most research tools dump data on you. We don’t. We turn raw information into structured, actionable insights—fast and fuss-free.
Consuma AI’s research process is designed to work like a human researcher: only faster, more precise, and scalable. Our three-stage system ensures that raw data transforms into actionable insights seamlessly.
Stage 1: Smart Scraper System – Data Collection
Before any analysis can happen, our AI-powered scraper collects the right data. It scans across multiple sources like social media, search trends, product reviews, and more based on your research brief.
Context-Aware Scraping → Doesn’t just fetch mentions but captures full conversations for richer insights.
Multi-Source Aggregation → Pulls structured and unstructured data from selected platforms.
Intelligent Filtering → Ensures only relevant data is collected based on timeframe, geography, and keyword logic.
Stage 2: Autonomous AI Agents – Research & Analysis
Once data is gathered, autonomous AI agents take over, mimicking how researchers analyze information:
Pattern Recognition → Identifies recurring themes, emerging trends, and anomalies in consumer discussions.
Sentiment & Context Mapping → Goes beyond simple positive/negative classification by detecting intent, sarcasm, and emotional triggers.
Quantitative Modeling → Runs statistical models to measure share of voice, frequency distribution, and comparative benchmarks.
Custom Data Bucketing → Automatically categorizes insights into relevant themes (e.g., pricing concerns, brand loyalty, purchase triggers).
These AI agents work in parallel, ensuring the research process is fast, accurate, and multi-layered.
Stage 3: Insight Reporting – Making Data Actionable
Data without context is meaningless. That’s why the final stage focuses on delivering insights in a structured, easy-to-digest format:
Automated Dashboards & Reports → Clear visualization of trends, themes, and sentiment analysis.
Custom Data Cuts → Filter insights by demographics, region, or timeframe for deeper clarity.
Strategic Recommendations → AI suggests actionable takeaways based on patterns in consumer behaviour.
