Insight7

Use Case 1: Streamlining Market Research and Thematic Analysis

Problem: Market researchers often spend days or weeks manually transcribing interviews, highlighting quotes, and trying to identify recurring themes across dozens of hours of qualitative recordings. This manual process delays product decisions and risks human error in sentiment tracking.
Solution: Insight7 uses AI to analyze call recordings instantly, performing thematic analysis to identify patterns, pain points, and trends across all conversations. It automates the "time to insight" by extracting the most relevant quotes and mapping them to actionable reports.
Example: A market research lead uploads 20 user discovery interviews. Instead of manually coding the transcripts, they use Insight7 to generate a summary of the top three friction points mentioned by users and a journey map showing where users are dropping off in the current product workflow.

Use Case 2: Scalable Sales Coaching and Roleplay

Problem: Sales managers can only listen to a tiny fraction of their team's calls (manual sampling), making it impossible to provide consistent, personalized feedback to every representative. This leads to inconsistent performance and slower onboarding for new hires.
Solution: The platform provides AI-powered coaching and practice scenarios. Reps can engage in realistic AI roleplays to practice their pitches and receive instant, personalized feedback and performance scorecards without requiring a manager’s time.
Example: A new sales hire practices a high-stakes discovery call with an AI scenario. The AI provides a scorecard evaluating their soft skills, objection handling, and product knowledge, allowing the rep to refine their pitch before ever talking to a live prospect.

Use Case 3: Automated Quality Assurance and Compliance

Problem: In highly regulated industries like Healthcare or Financial Services, businesses must ensure agents follow strict compliance scripts. Manual QA teams can usually only review 1–2% of calls, leaving a massive "blind spot" for potential legal or quality risks.
Solution: Insight7 achieves 100% call coverage for QA and compliance. It automatically scores every conversation against a predefined scorecard, flagging calls that miss key compliance markers or exhibit poor behavior.
Example: A healthcare call center uses Insight7 to monitor all inbound patient calls. The system automatically flags any call where the agent fails to verify the caller's identity or mentions PII/PHI incorrectly, ensuring 100% HIPAA compliance oversight.

Use Case 4: Revenue Intelligence and Upsell Identification

Problem: Valuable "buying signals" and upsell opportunities are often buried in hours of routine support or account management calls. Busy agents may miss these cues, resulting in lost revenue for the business.
Solution: The tool’s Revenue Intelligence feature surfaces conversion, upsell, and cross-sell signals hidden in conversations. It uses "Live Assist" to provide real-time prompts to agents when a customer mentions a need that aligns with a specific product or service.
Example: During a routine check-in call, a customer mentions they are struggling with a specific workflow. Insight7 recognizes this as a signal for a premium feature and alerts the agent to offer a demo of that module, turning a support interaction into a revenue-generating opportunity.

Use Case 5: Voice of Customer (VoC) for Product and Marketing

Problem: Marketing and Product teams often struggle to understand exactly how customers describe their problems, leading to messaging that doesn't resonate or product features that don't solve actual needs.
Solution: Insight7 aggregates data from across all customer interactions to identify "what customers actually want." It tracks sentiment and common terminology used by real users, which can be directly applied to marketing copy and product roadmaps.
Example: A marketing team analyzes 100 sales calls from the previous month. They discover that 70% of prospects use the phrase "time-to-value" when discussing their main concern. The team then updates their website headlines and ad copy to specifically address "accelerating time-to-value," leading to higher conversion rates.