Exploratory insight discovery
Find recurring topics, customer language, concerns, and emerging behaviours in natural conversation.
Researchers
Turn public conversation into structured research evidence.
Kommon Poll supports researchers with social listening, trend discovery, audience language analysis, competitor context, and report-ready qualitative and quantitative signals.
Kommon Poll intelligence view
Live signal scan
SignalConsumer language discovery
SignalTrend and topic clustering
SignalMarket and category insights
SignalQualitative and quantitative signals
Why it matters
Public conversation can reveal what formal research may miss.
Surveys and interviews are powerful, but they depend on what people are asked and what they remember. Public conversation captures spontaneous reactions, complaints, comparisons, expectations, and cultural language in the moment.
Kommon Poll helps researchers collect, organize, and interpret those signals. It supports exploratory research, market scans, competitor studies, campaign evaluation, and audience understanding.
Researchers can use the platform to generate hypotheses, identify recurring themes, quantify patterns, and build richer insight narratives.
Exploratory insight discovery
Find recurring topics, customer language, concerns, and emerging behaviours in natural conversation.
Trend monitoring
Track how conversation around a category, brand, or issue evolves over time.
Competitor and category analysis
Compare brands, product categories, and market narratives across channels.
Capabilities
What your team can do with Kommon Poll.
Each workflow combines monitoring, filtering, AI interpretation, and reporting so the page is useful beyond a simple feature description.
Trend monitoring
Track how conversation around a category, brand, or issue evolves over time.
Competitor and category analysis
Compare brands, product categories, and market narratives across channels.
Audience segmentation signals
Explore location, language, platform, and available audience indicators.
Mixed-method support
Combine quantitative metrics with qualitative mention examples and summaries.
Research-ready reporting
Convert findings into structured insight reports and presentation-ready narratives.
Use cases
Practical ways to apply this workflow.
Use these examples as starting points for configuring searches, alerts, dashboards, and reports around the outcomes your team needs.
Workflow
A clearer path from public data to action.
Kommon Poll is designed to make public conversation easier to operationalize: define the scope, collect the signal, interpret the pattern, and share what matters.
01
Define the research frame
Clarify the topic, market, audience, competitors, keywords, languages, and timeframe.
02
Collect relevant conversation
Gather public mentions across supported sources and filter for relevance.
03
Code themes and patterns
Use topics, sentiment, segments, and examples to build a structured view of the data.
04
Turn data into insight
Produce findings, implications, hypotheses, and recommendations.
Common questions
What teams usually ask about for researchers.
Can public social data be used for research?
Yes, when collected and interpreted responsibly. It is best used as a complement to other research methods.
Can Kommon Poll support both qualitative and quantitative analysis?
Yes. It provides metrics, trends, summaries, and mention examples that can support mixed-method insight work.
Can I analyze non-brand topics?
Yes. Research scopes can include categories, trends, public issues, behaviours, and competitor landscapes.
Related workflows
Explore more ways to use Kommon Poll.
Connect this page with adjacent workflows so users can understand the broader value of public conversation intelligence.
Get started
Add real-world conversation to your research toolkit.
Use Kommon Poll to discover themes, quantify patterns, and build more grounded insight narratives.