Insight7

What is Insight7 AI

Insight7 AI is an AI-powered customer research platform that turns raw feedback into decision-ready insights. It ingests surveys, NPS responses, interviews, and support conversations, then automatically transcribes or ingests transcripts, clusters, and summarizes them into clear themes, pain points, opportunities, and sentiment. Product teams use it to prioritize problems, validate ideas, and spot trends in seconds instead of weeks. With visual dashboards and evidence-backed highlights, Insight7 speeds discovery and reduces manual analysis, so teams move from listening to action with confidence. It also centralizes feedback into a searchable repository that scales with your research.

Insight7 AI Main Features

• Multi-source feedback ingestion: Consolidate surveys, NPS, interviews, call notes, and support tickets to analyze customer signals in one place.
• Automated transcription and normalization: Convert video and audio interviews to text or ingest existing transcripts to prepare clean, comparable data.
• Theme detection and clustering: Group recurring topics to reveal customer themes, pain points, and jobs-to-be-done across datasets.
• Sentiment and tone analysis: Identify positive, neutral, and negative sentiment to gauge intensity and urgency of feedback.
• Opportunity and problem prioritization: Rank issues by frequency, severity, and impact to focus roadmaps on what matters most.
• Visual dashboards: See trend lines, topic heatmaps, and distribution charts for fast, at-a-glance understanding.
• Evidence-backed insights: Trace every insight to original quotes or moments, improving credibility and decision quality.
• Collaboration workflow: Tag, comment, and align stakeholders around shared taxonomies and definitions.
• Exportable outputs: Download summaries, highlights, and datasets for reporting or handoff to downstream tools.

Who Should Use Insight7 AI

Insight7 AI suits product managers, UX researchers, founders, customer success teams, and marketers who need to synthesize large volumes of feedback quickly. It is valuable for discovery research, roadmap prioritization, churn analysis, onboarding optimization, and post-release evaluations where consistent, scalable analysis is essential.

How to Use Insight7 AI

1. Collect your feedback sources (surveys, NPS, interviews, support logs) and import them as text, audio, video, or CSV.
2. Create a project and define goals or key questions to guide analysis.
3. Run automated processing to transcribe (if needed), cluster topics, and extract sentiment, themes, and opportunities.
4. Review dashboards to spot patterns, outliers, and trend shifts across customer segments.
5. Refine: edit or merge themes, add tags and notes, and attach contextual quotes or clips.
6. Prioritize and share: export insights, create summaries, and align stakeholders on next steps.

Insight7 AI Industry Examples

SaaS teams analyze NPS comments and interview recordings to uncover churn drivers and prioritize retention features. E-commerce teams synthesize product reviews and support chats to pinpoint checkout friction and clarify copy. Fintech and banking teams process onboarding calls to reduce drop-off and improve KYC flows. Healthcare providers review patient interviews to identify scheduling pain points and communication gaps. B2B platforms cluster sales and success feedback to validate positioning and refine pricing objections.

Insight7 AI Pros and Cons

Insight7 AI FAQs

• Question 1: What types of data can Insight7 AI analyze?

  It can analyze surveys, NPS responses, interview recordings (video/audio) via transcription, and text sources like support logs and notes.

• Question 2: How does it prioritize customer problems?

  By combining topic frequency, sentiment intensity, and impact signals to surface the most critical issues and opportunities.

• Question 3: Does it replace manual qualitative analysis?

  No. It accelerates coding and synthesis, while researchers and product teams provide context, validation, and final judgment.

• Question 4: Can teams collaborate inside the tool?

  Yes. Team members can review themes, add tags or comments, and share evidence-backed summaries for alignment.

• Question 5: Does it support audio and video interviews?

  Yes. You can import recordings for transcription and analysis, or upload existing transcripts for faster processing.