Insight7 Launches AI Coaching Mobile App for Communication Practice
GAINESVILLE, FL, April 15 ,2026 – Insight7, a leading developer of Call Intelligence and AI Coaching solutions, today announced the official launch of the Insight7 mobile app, bringing AI Coaching & Roleplay to iOS devices. Built for both individual professionals and customer facing teams, the app delivers on-demand access to skill building practice and performance feedback – wherever life and work happen. Whether you’re a job seeker preparing for your next interview, an early career professional building communication confidence, or a sales rep sharpening objection handling before a big call, the Insight7 mobile app puts personalized AI coaching in your pocket. You get realistic practice and instant feedback, on your own time. “Most people don’t get enough practice before the moments that matter most,” said Odun Odubanjo, CEO and Co-founder at Insight7. “The mobile app changes that. It gives every individual an always available coach that helps them show up prepared and confident.” Key Features and Capabilities Built for Every Stage of Your Career The Insight7 mobile app is available now on the App Store. Learn more at Insight7.io. ABOUT INSIGHT7 Insight7 is the developer of AI- powered Call Intelligence and AI Coaching built for modern workplace teams and individual professionals. From Call Analytics for extracting insights from customer conversations to AI Coaching & Roleplay for accelerating skill development, Insight7 helps organizations and individuals turn conversations into growth. Founded by former Shopify product leader Odun Odubanjo, Insight7 is based in Gainesville, Florida, with a globally distributed team. Learn more at www.insight7.io
High Ticket Sales: One Call Close Revenue Intelligence Buyer Guide
In high-ticket, one call close sales, every call is the only call. There is no follow-up sequence. No second meeting. No recovery email. You either close on that call or the opportunity is gone. This reality changes everything about how performance must be measured, coached, and optimized. This buyer guide is written for high-ticket sales leaders evaluating revenue intelligence platforms built specifically for one-call-close environments. It covers: What revenue intelligence means in a one-call-close model Whether your team is ready What to look for in a platform What it actually costs How to evaluate vendors How to implement successfully How to measure ROI So you can make a confident, informed decision before signing a contract. Why One Call Close Sales Is Structurally Different In traditional sales teams, deals unfold over weeks or months. There are multiple touchpoints, pipeline stages, and opportunities to recover from mistakes. In one-call-close sales, the margin for error is effectively zero. The moment a rep hangs up without a commitment, the lead goes cold.There is no nurture sequence. No second shot. This model is common in high-ticket industries such as: Insurance Healthcare services Financial services Manufacturing and equipment sales Because revenue is won or lost inside a single conversation, performance visibility must operate at the call level – and it must be fast. Most revenue intelligence platforms were built for multi-touch B2B environments. They focus on pipeline tracking, deal stages, and long sales cycles. One-call-close teams operate under completely different constraints: Same-day coaching matters Script execution precision matters Objection handling quality matters First-call conversion rate is the core KPI This guide helps you evaluate platforms designed for that reality What Is Revenue Intelligence for One Call Close Sales? Revenue intelligence for high-ticket, one-call-close sales is the use of AI to analyze 100% of sales conversations, identify the exact moments where revenue is won or lost, and turn those insights into actionable coaching before the next live call. In high-ticket environments, a single lost call can represent thousands – sometimes tens of thousands – in revenue. There is no second meeting to recover it. Because the entire sales cycle happens inside one conversation, performance visibility must operate at the call level – and it must move fast. Revenue intelligence in this context must answer operationally critical questions like: What do top closers do in the first 60 seconds that average reps don’t? Which objections are consistently ending high-ticket calls before the close? At what exact point in the conversation are deals being lost? What behaviors correlate with post-sale cancellations? How do we replicate our best rep’s performance across the entire team? Traditional QA processes review 1–3% of calls manually. Revenue intelligence analyzes 100% of conversations using AI. Instead of anecdotal feedback, you get: Pattern recognition across thousands of high-ticket calls Call-level conversion diagnostics Behavior-level performance data Structured practice environments that improve reps before they are live again For high-ticket, one-call-close teams, delayed coaching equals lost revenue. Insights must translate into same-day improvement. Why Most Revenue Intelligence Platforms Aren’t Built for One Call Close Sales Most dominant revenue intelligence tools – including Gong, Chorus.ai, and Clari – were designed for multi-touch B2B sales cycles and long pipeline management. Their architecture prioritizes: Deal progression tracking Forecasting accuracy Pipeline visibility across weeks or months Executive reporting at the opportunity level High-ticket, one-call-close sales operate under different economic constraints: The entire revenue opportunity lives inside a single call First-call conversion rate is the primary KPI Objection handling precision directly impacts revenue Coaching must be immediate to prevent repeat losses When revenue is decided in 30–60 minutes, the platform must treat that call as the complete sales cycle – not as one stage in a longer journey. Is Your High-Ticket Sales Team Ready? Revenue intelligence creates the greatest impact when sufficient call volume and coaching discipline exist. Strong Fit 25+ reps and 1,000+ calls per week High-ticket, close-or-lose model on the first call Top reps outperform average reps by 2x or more Scaling faster than new hires can be trained Post-sale cancellations are eroding booked revenue Call recordings, CRM data, and dialer API access available These conditions generate enough data for AI to identify meaningful patterns in high-ticket conversion performance. Not Ready Yet Fewer than 25 reps or under 500 calls per week No call recordings Managers do not currently coach Leadership expects a “set it and forget it” solution Revenue intelligence amplifies a coaching culture — it does not replace one. What Does Revenue Intelligence for High-Ticket Sales Actually Cost? Most vendors quote per-seat pricing. For a high-ticket sales team with ~100 users, the fully loaded Year 1 cost typically looks like this: Cost Category Typical Range Platform fees $80K–$150K / year Implementation & integration $10K–$50K IT and RevOps time $20K–$40K Manager time $20K–$40K Change management $15K–$40K Year 1 Total $150K–$320K A practical budgeting rule:Plan for 2–2.5x the quoted platform fee in Year 1. This reflects internal time, rollout effort, and change management — not just software. The Hidden Cost: Failed Implementation The largest financial risk is not the platform fee. It is a stalled rollout. Low adoption, minimal behavior change, no measurable ROI — followed by migration to another platform 12–18 months later — can easily double the original investment when you factor: Lost optimization gains Internal rework Management distraction Contract overlap Getting vendor selection and rollout right matters more than negotiating a 10% discount. Benefits and Drawbacks Benefits 1. More Closed Deals at the Same Call Volume In high-ticket, one-call-close sales, a 1–2% lift in first-call conversion rate generates incremental revenue without: More leads More headcount More marketing spend It compounds across thousands of calls. 2. Precision Diagnosis of Call Breakdown AI identifies where deals fall apart: Weak opening Poor objection handling Missed buying signals Mistimed close Coaching becomes targeted instead of anecdotal. 3. 100% Call Coverage Traditional QA reviews 1–3% of calls.Revenue intelligence analyzes all of them. Managers move from sample-based coaching to pattern-based coaching. 4. Faster Ramp Time New hires practice real objections before facing live
Insight7 Launches AI Coaching & Roleplay: On-Demand Practice for Workplace Communication
GAINESVILLE, FLA, January 14, 2026 — Insight7, a leading developer of conversational intelligence solutions, today announced the official launch of AI Coaching & Roleplay, an AI-powered practice platform that helps sales professionals, customer support representatives, managers, and leaders develop critical communication skills through realistic conversation simulations and instant, data-driven feedback. Whether the objective is mastering discovery calls, handling difficult customer situations, delivering performance reviews, or practicing executive presence, AI Coaching & Roleplay supports a wide range of use cases and adapts to the unique development needs of each role. Unlike traditional coaching models that rely on manager availability and subjective feedback, or expensive simulation tools designed for enterprise-scale training programs, AI Coaching & Roleplay is an accessible, template-driven solution built for growing teams. The platform uses dynamic AI personas that engage in realistic, unscripted conversations, automatically evaluating communication effectiveness and providing instant coaching tied to specific conversation moments. It delivers value across roles by providing unlimited, on-demand practice environments where skill development happens on each individual’s schedule, not their manager’s calendar. “There’s a fundamental disconnect between how organizations want to develop their people and the limitations of traditional coaching,” said Odun Odubanjo, CEO and Co-founder at Insight7. “Teams don’t need another tool that replaces human judgment with black-box AI. They need accessible practice environments that build real skills through repetition and objective feedback. Our platform delivers exactly that – AI that accelerates human skill development rather than attempting to replace human coaches.” Key Features and Capabilities AI-Powered Roleplay Simulations: Engage in realistic, unscripted conversations with dynamic AI personas that adapt in real time based on communication style and responses. Automated Coaching & Skill Evaluation: Receive instant, objective feedback on empathy, active listening, questioning, tone, clarity, and goal achievement tied to specific conversation moments. Scenario Libraries: Access prebuilt templates for common situations including objection handling, complaint resolution, discovery calls, negotiation, and feedback delivery. Performance Dashboards: Visualize individual and team-level skill progression over time with objective behavioral data and improvement tracking. Multilingual Support: Practice and evaluate conversations in multiple languages to support global teams and diverse customer bases. Transforming Skill Development Across Critical Use Cases Insight7’s AI Coaching platform serves a wide range of applications for customer-facing teams and organizational leaders: Sales Teams practice discovery calls, objection handling, and closing conversations in risk-free environments, accelerating ramp time and building confidence before live prospect interactions. Customer Support and Success Teams rehearse difficult scenarios including complaint resolution, de-escalation, relationship-building, and renewal conversations, improving customer satisfaction and retention without risking customer relationships. Leaders and Managers practice delivering difficult feedback, conducting performance conversations, navigating conflict resolution, and building executive presence for high-stakes communication situations. Enablement and L&D Teams scale consistent, high-quality coaching across distributed teams, standardize training programs, and measure skill development with objective performance data rather than subjective manager assessments. AI Coaching & Roleplay is available immediately for organizations of all sizes. Teams interested in learning more can visit Insight7. ABOUT INSIGHT7 Insight7 is the developer of AI-powered conversation intelligence and coaching platforms built for modern workplace teams. From Call Analytics for extracting insights from customer conversations to AI Coaching & Roleplay for accelerating skill development, Insight7 helps organizations turn conversations into revenue and people growth. Built for everyday business users, the platform empowers teams to standardize training, scale coaching, and drive measurable performance improvement. Founded by former Shopify product leader Odun Odubanjo, Insight7 is based in Gainesville, Florida, with a globally distributed team. Learn more at www.insight7.io
AI Coaching Use Cases: How Teams Improve Performance
Training teams today is harder than ever and AI coaching solves that. Customers expect faster responses, sales cycles are more complex, and leaders juggle distributed teams with shrinking attention spans. Traditional workshops aren’t enough — people forget up to 70% of what they learn within a week. The solution: AI coaching. Not a replacement for trainers or managers, but a force multiplier. AI lets teams practice real scenarios, build muscle memory, and get instant feedback, helping them perform at their best every day — not just after training. Across Sales, Customer Service, and Leadership, Coaching with AI tackles real challenges teams face every day. Here’s how. AI Coaching In Sales Sales is unpredictable. One missed discovery question, a weak objection response, or a poor pricing explanation can cost a deal. AI gives sales reps the opportunity to practice these moments repeatedly until they become instinctive. Objection Handling Sales reps frequently encounter tough objections — pricing pushback, timing concerns, or competitors. Many freeze or respond defensively under pressure.AI coaching enables realistic objection roleplays and provides targeted feedback, helping reps stay calm, persuasive, and confident. Discovery Calls Reps often miss critical qualification questions or fail to uncover customer needs, leading to lost opportunities. AI coaching guides reps through discovery conversations, ensuring they consistently uncover valuable insights, improving lead quality and deal potential. Prospecting & Cold Calls Initiating conversations with new prospects is challenging and often inconsistent. AI coaching provides scenario-based practice for openings, transitions, and rapport-building, helping reps start strong and build confidence before they even pick up the phone. Product Pitching Inconsistent or unclear presentations reduce effectiveness. AI coaching lets reps practice tailored product pitches, ensuring clarity, relevance, and alignment with customer needs. Negotiation & Pricing Negotiating value and pricing under pressure is a high-stakes skill. AI allows safe negotiation simulations, helping reps build confidence, navigate difficult conversations, and improve win rates. Renewal & Upsell Many reps miss upsell opportunities or fail to communicate value effectively. AI simulates renewal and upsell conversations, increasing retention and account growth. Product & Process Knowledge Testing A deep understanding of products and internal processes is essential. AI reinforces knowledge through scenario-based testing, ensuring reps communicate confidently and accurately. Tool-Specific Knowledge Testing CRM and sales tools are only as effective as the reps using them. AI simulates tool-based tasks to improve proficiency and reduce errors. Post-Training Reinforcement Without follow-up, workshop skills fade quickly. AI provides exercises and roleplays after formal training, reinforcing learning and helping knowledge stick. Customer Service AI Coaching Customer service teams deal with high-pressure interactions every day. Frustrated or angry customers, inconsistent processes, and complex tools can all reduce efficiency and satisfaction. AI helps reps practice empathy, consistency, and proactive support. Customer Complaint Handling Reps often struggle to manage frustrated or angry customers. AI simulates complaint scenarios, providing real-time feedback to improve empathy, de-escalation, and resolution skills. Support Ticket Resolution Following inconsistent processes can cause errors and delays. Coaching wth AI reinforces correct procedures, improving efficiency and service consistency. Proactive Customer Success CS teams often react rather than anticipate customer needs. AI tools offer simulations for proactive engagement, helping reps identify churn signals and increase customer satisfaction. Product & Process Knowledge Testing Reps need accurate knowledge at their fingertips. AI tests understanding through simulated interactions, ensuring correct guidance and reducing errors. Tool-Specific Knowledge Testing Ticketing platforms and internal dashboards can be complex. AI coaching provides hands-on practice, improving tool usage and accuracy. Post-Training Reinforcement Workshops alone are not enough. AI delivers follow-up exercises and roleplays to reinforce skills over time, keeping service quality high. AI Coaching In Leadership Leaders face uniquely challenging conversations — giving feedback, coaching employees, handling conflicts, and motivating teams. AI coaching gives them a safe environment to practice and refine their skills, improving outcomes for the entire organization. Performance Feedback Coaching Conversations Guiding employee performance and development requires skill. Coaching with AI enables realistic coaching roleplays, fostering team growth and engagement. Difficult Conversations Sensitive issues often get avoided. AI simulations allow leaders to practice conflict resolution, improving outcomes while reducing stress. Delegation & Empowerment Poor delegation creates bottlenecks and lowers accountability. coaching with AI guides leaders in assigning tasks and empowering teams, boosting overall performance. Team Conflict Mediation Leaders aren’t trained therapists but must resolve interpersonal disputes. AI simulates conflict scenarios, helping leaders mediate effectively and maintain cohesion. Recognition & Motivation Many leaders under-recognize achievements or fail to motivate. AI provides practice in recognition conversations, enhancing engagement and morale. Post-Training Reinforcement Leadership skills degrade without consistent practice. AI delivers exercises, reflection prompts, and reinforcement to ensure long-term development. Why AI Coaching Matters Now Teams don’t just need more training. They need continuous practice, personalized reinforcement, and actionable feedback that adapts to real-world challenges. AI coaching provides: Safe, realistic practice for high-pressure situations Instant feedback and improvement guidance Reinforcement that turns learning into habit Scalable training across entire organizations When teams practice more, they perform better — faster ramp times, higher productivity, improved customer experiences, and stronger leadership. How Insight7 Makes AI Coaching Actionable At Insight7, we make AI coaching practical and measurable. Our platform: Evaluates calls and interactions across Sales, Customer Service, and Leadership Identifies skill gaps and provides targeted improvement suggestions Delivers scenario-based simulations and roleplays Reinforces skills continuously to ensure long-term retention Insight7 helps you move from theory to real-world impact, helping organizations train smarter, retain knowledge longer, and improve performance faster.
Insight7 Becomes Official Zoom Partner to Deliver Instant AI Powered Call Analytics
GAINESVILLE, FLA., October 27, 2025 – Insight7, an AI powered conversation intelligence platform, announced it has achieved official Zoom Partner status, marking an elevated relationship that expands the reach and capabilities of its call analytics solution for Zoom users worldwide. This strategic partnership enables organizations using Zoom to seamlessly access Insight7’s advanced call analytics platform, which transforms customer conversations into instant scorecards, targeted coaching insights, and actionable business intelligence, without manual review effort. “Becoming an official Zoom partner represents a significant milestone in our mission to help teams extract maximum value from every customer conversation,” said Odun Odubanjo, CEO and Co-founder at Insight7. “Zoom users can now leverage our AI powered platform to scale quality assurance, accelerate coaching, and drive measurable improvements in customer satisfaction and revenue, all while maintaining the seamless workflows they rely on.” Automated Intelligence for Customer Teams Insight7 automates call analytics for rep performance evaluation, customer insights, and team effectiveness at scale, scoring them for quality, surfacing coaching opportunities, and highlighting patterns tied to revenue, satisfaction, and retention. Dashboards make it easy to track team performance, spot compliance risks early, and pinpoint where training is needed. With Insight7, Zoom users can: Improve Quality Assurance: Replace random QA samples with full call evaluation. Automatically flag risky behavior, silence, sentiment shifts, and resolution gaps. Improve Coaching & Training: Detect underperformance early and deliver targeted coaching based on real interactions. Scale Sales & CX: See what top performers do differently and replicate it across the team. Track Trends Over Time: Use dashboards to monitor performance, sentiment, silence, and compliance signals, at a glance. Insight7 integrates with Zoom, Google Meet, and other major platforms, so insights flow seamlessly into existing workflows. Insight7’s partnership status with Zoom is now active, and organizations can learn more by visiting https://partner.zoom.com/solutions/insight7/. ABOUT INSIGHT7 Insight7 is the developer of an AI-powered conversation intelligence platform built for customer-facing teams. Designed to support quality assurance, performance evaluation, coaching, and compliance use cases, Insight7 helps organizations turn thousands of customer calls into actionable insights. Built for everyday business users, it empowers cross functional teams to evaluate conversations at scale, drive continuous improvement, and make faster, smarter decisions. Founded by former Shopify product leader Odun Odubanjo, Insight7 is based in Gainesville, Florida, with a globally distributed team. Learn more at www.insight7.io.
Insight7 Launches Call Analytics 2.0: AI Powered Analytics For Modern Customer Teams
GAINESVILLE, FLA, Oct 22, 2025, Insight7 a leading provider of call analytics solutions, today announced the launch of Call Analytics 2.0, an AI-powered coaching platform designed to help customer success, support, and sales teams extract actionable insights from every customer conversation without adding manual review time. For years, customer facing teams have struggled with an avalanche of call data but minimal insight. Call recordings accumulate in systems, critical moments are forgotten, and managers spend countless hours reviewing calls without systematic improvement in team performance. Call Analytics 2.0 addresses this challenge by transforming every customer interaction into a live feedback loop that reveals performance patterns, coaching opportunities, and skill gaps in seconds. “Traditional call analytics tools tell you what happened, but they don’t tell you what to do about it,” said Odun Odubanjo, CEO and Co-founder at Insight7. “Call Analytics 2.0 is fundamentally different, it’s an AI coach built directly into your call stack that provides personalized, actionable guidance for every team member while giving managers complete visibility into team performance and trends.” Key Features and Capabilities AI-Powered Coaching Tips: Receive personalized, AI-generated feedback tailored to individual coaching styles and each representative’s specific development areas. Review & Coaching Assessments: Evaluate calls side by side with comprehensive performance tracking that identifies skill gaps and measures improvement over time. Collaborative Workflows: Enable team collaboration with integrated notes, comments, and follow-up tracking directly within call recordings. Dedicated Rep Logins: Provide every team member with personalized dashboards and self-directed training resources. Global Dashboards: Deliver enterprise-wide visibility into insights, trends, and performance metrics across entire organizations. Intelligent Alerts: Automatically detect and notify managers of key moments, compliance issues, or critical situations requiring immediate attention. Automated Team Workflows: Seamlessly integrate with existing tech stacks to trigger CRM updates, create support tickets, and distribute insights across platforms. HIPAA Compliance: Ensure secure handling of healthcare and other sensitive data with enterprise-grade security and compliance features.Call Analytics 2.0 is available immediately for customer success, support, and sales teams. Organizations interested in learning more can visit Insight7 ABOUT INSIGHT7 Insight7 is the developer of Call Analytics 2.0, an AI powered conversation intelligence platform built for customer teams. Designed to support a wide range of use cases, including quality assurance, performance evaluation, coaching, and compliance, Insight7 helps organizations turn thousands of customer calls into actionable insights. Built for everyday business users, the platform empowers cross functional teams to evaluate conversations at scale, drive continuous improvement, and make faster, smarter decisions. Founded by former Shopify product leader Odun Odubanjo, Insight7 is based in Gainesville, Florida, with a globally distributed team. Learn more at www.insight7.io.
How To Scale Interview Quality with AI Call Evaluation: Fresh Prints’ Success Story
Running hundreds of interviews every month is a challenge for any fast-growing company — especially when hiring at scale. For Fresh Prints, a custom apparel startup that recruits and trains student entrepreneurs to run campus-based businesses, the challenge was massive. Their growth team reviews over 700 recorded Loom interviews every month, evaluating each candidate’s engagement, clarity, and cultural fit. Keeping these evaluations consistent — and spotting red flags across such a high volume of calls — was nearly impossible. That’s when they turned to Insight7’s AI-powered call evaluation to streamline and scale their QA process. The Challenge: Scaling Interview Evaluation Across Hundreds of Calls Fresh Prints’ talent model depends on selecting the right student entrepreneurs, people who can sell, lead, and represent the brand on their campuses. Before Insight7, the growth team had to manually review hundreds of interview recordings, taking notes and scoring candidates by hand. With over 700 interviews each month, the workload quickly became unsustainable. “Running hundreds of interviews every month used to be a huge challenge for us,” Santiago Villaronga shared. “Keeping evaluations consistent and spotting red flags across many interviews was nearly impossible.” The process slowed down hiring decisions, made feedback inconsistent across evaluators, and introduced risk, good candidates could slip through the cracks simply because there wasn’t enough time to review every call thoroughly. The Solution: AI-Powered Interview Evaluation with Insight7 To solve the problem, Fresh Prints adopted Insight7, integrating it directly with Loom, their existing call recording tool. “Since adopting Insight7, our QA process has completely changed. It integrates seamlessly with Loom, automatically pulling in recordings and applying our customer evaluation criteria.” Instead of relying on manual reviews, Insight7 now automatically analyzes every interview using Fresh Prints’ evaluation rubrics. It assesses factors like candidate engagement, clarity, and cultural fit, surfacing patterns and potential concerns without requiring the team to listen to full calls. “We can now analyze interview quality at scale without listening to every minute of our call. Insight7 surfaces trends, flags red flags, and delivers actionable coaching insights in a fraction of the time.” The Impact: Quality, Fairness, and Scale The results have been transformative. Fresh Prints’ growth team now evaluates hundreds of interviews with speed, accuracy, and consistency, all while maintaining fairness across candidates. With Insight7: QA reviews are automated, ensuring every interview is evaluated with the same criteria. Red flags are identified instantly, enabling faster hiring decisions. Actionable insights are delivered automatically, helping improve interviewer performance. The team saves hundreds of hours every week, freeing them to focus on scaling recruitment instead of manual analysis. “It’s fast, accurate, and saves our team hundreds of hours every week, giving us confidence to keep scaling hiring without sacrificing quality or fairness.” Why This Matters for Talent and Growth Teams For any organization running high-volume interviews, AI-powered call evaluation offers a way to scale quality and fairness simultaneously. With tools like Insight7, hiring and QA teams can:Analyze hundreds of calls instantly without manual effortMaintain consistent evaluation standards across all interviewersIdentify trends and red flags early in the processFree up time for strategy, training, and candidate engagement Conclusion Fresh Prints’ journey shows how AI call evaluation doesn’t just make interview analysis faster, it makes it smarter. By integrating Insight7 into their QA process, they’ve transformed hiring from a manual, time intensive bottleneck into a data-driven, scalable, and fair system. The result? A growth team that’s confident, consistent, and ready to scale, without ever compromising on quality. ” Frequently Asked Questions How does AI call analytics help recruitment teams?It automates call reviews, applying consistent evaluation rubrics across interviews while highlighting red flags and improvement areas. Does Insight7 work with Loom?Yes. Insight7 integrates seamlessly with Loom to pull recordings automatically for analytics and insight generation. Why is automation important in hiring QA?It ensures fairness, speeds up evaluation, and enables recruiters to make data-driven hiring decisions without wasting hours on manual review.
How To Scale Research Evaluation with AI Call Analytics: Riggs Partners’ Success Story
Scaling research evaluation across multiple projects and clients can quickly become overwhelming.Riggs Partners, a purpose-driven brand and communications agency, runs dozens of interviews, focus groups, and stakeholder calls each month, each packed with insights that guide strategic decisions. But their process for extracting insights from these calls was slow, manual, and time-consuming. Before adopting AI, researchers spent days transcribing, printing, and manually highlighting interviews to identify key quotes and themes. Traditional methods simply couldn’t keep up with the growing volume of conversations and deadlines. That’s when Riggs Partners turned to Insight7’s AI-powered call analytics to transform how they evaluate research conversations. The Challenge: Turning Hours of Calls into Actionable Research Insights Before using Insight7, the Riggs team faced a familiar bottleneck: manually turning qualitative data into usable insights. Kevin Smith, Partner at Riggs Partners explains: “Before we got Insight7, I would spend days getting recordings transcribed, printing out transcripts, reading them, highlighting interesting quotes, aggregating those quotes into insights, and putting all of that into a PowerPoint.” This manual approach wasn’t just slow, it limited how quickly insights could be shared internally or presented to clients. For a firm built on collaboration and strategy, this process made it hard to stay agile and responsive. And with multiple team members often contributing to the same project, organizing and updating research findings became even harder. The Solution: AI Powered Research Evaluation with Insight7 Everything changed once Riggs Partners adopted Insight7. “Now, I just upload the recordings into Insight7 and all of that work is done for me in a matter of minutes,” Kevin shared. “It’s a great tool.” With Insight7, Riggs Partners could instantly upload recorded interviews and get structured insights, highlights, and themes — without spending days manually reviewing each transcript. Insight7’s flexibility also proved valuable: “Being able to add to and take away and change some of the inquiries on the data because I’ll have different co-workers that have different questions, it’s nice to be able to go back in. It’s not a one-shot and you’re done scenario.” This meant the team could adapt their research evaluation dynamically, exploring new angles, refining insights, and collaborating seamlessly across projects. The Impact: From Days of Work to Minutes With Insight7, Riggs Partners reduced a process that used to take several days down to minutes. What once required manual transcription, highlighting, and synthesis is now automated, letting researchers focus on strategic storytelling rather than administrative work. Key benefits achieved: Faster turnaround: Insight generation in minutes instead of days. Collaborative flexibility: Multiple team members can revisit and refine data. Consistent quality: No more variation in how insights are captured or presented. Why This Matters for Research and Strategy Teams For any organization handling large volumes of qualitative data, from agencies to in house research teams, the Riggs Partners story highlights how AI powered evaluation changes the game: Eliminate manual transcription and note-takingGenerate structured insights instantlyCollaborate dynamically across research projectsScale analysis without sacrificing depth or accuracy By automating the grunt work, teams can focus on what really matters, telling better stories, faster. Conclusion Riggs Partners’ journey shows that AI call analytics isn’t just for sales or support teams, it’s a powerful ally for research and strategy professionals, too.With Insight7, they’ve transformed tedious, manual analysis into a fast, flexible, and collaborative process — all while maintaining the depth and nuance their work demands. ” Frequently Asked Questions Do researchers still need to transcribe calls manually?No. Insight7 automatically transcribes and evaluates calls, surfacing key quotes and insights within minutes. Can multiple team members collaborate on the same project?Yes. Teams can update data and explore different research angles without starting over. Why is AI powered call analytics valuable for research teams?It enables teams to evaluate qualitative data faster, extract richer insights, and collaborate seamlessly, all without the manual burden of traditional analysis.
How To Scale Coaching Quality with AI Call Analytics: TripleTen’s Success Story
Scaling quality in high volume online learning programs is a challenge many education companies face. TripleTen, an online bootcamp helping thousands break into tech, struggled with over 100 learning coaches meeting students weekly – with no clear visibility into performance. Traditional methods like hiring assessors were not sustainable at scale. That’s when they turned to AI powered call analytics through Insight7. The Challenge: Scaling Coaching Quality Across Hundreds of Coaches Eli Dietrich, Chief Product Officer at TripleTen, explains: “We had this problem where we had over 100 learning coaches meeting with students every week and we had no idea how they were performing.” Initially, they tried recording calls and hiring a senior assessor to evaluate a small subset. But with thousands of weekly interactions, manual evaluation wasn’t scalable. “We realized we needed something smarter – something that could scale without sacrificing quality,” Eli adds. The Solution: AI-Powered Call Analytics with Insight7 Within a week, TripleTen integrated Zoom with Insight7, analyzing over 2,000 learning coach calls per month. Insight7 applied the same rubrics used by the human assessor but at scale, delivering: Automated dashboards highlighting what went well and where improvement was needed Actionable coaching tips for learning coaches without requiring manager training Consistent evaluation across all calls Eli emphasizes: “Not only did we not have to train our managers on the rubric, but Insight7 also provided coaching tips automatically. It was amazing.” The Impact: Scale and Consistency for the Cost of One Manager With Insight7, TripleTen now evaluates over 6,000 calls per month for the cost of a single project manager. The platform ensures coaching quality remains consistent and actionable insights are immediately available. Looking ahead, TripleTen plans to integrate text messages, emails, and project reviews into Insight7, creating a single hub for evaluating all student facing interactions. Why This Matters for Education and EdTech Leaders For any organization with high-volume coaching or customer-facing teams, Insight7 demonstrates how AI call analysis can transform performance management: Scale evaluations without increasing headcount Ensure consistency and fairness in coaching Turn every interaction into an actionable insight Free managers to focus on strategic improvement rather than manual grading Conclusion TripleTen’s journey showcases how AI powered call analytics isn’t just about automation – it’s about scaling quality, consistency, and actionable insights across hundreds of coaches. Platforms like Insight7 make it possible for education organizations to maintain high performance, even at scale. Frequently Asked Questions Do managers still need to train learning coaches manually?No. Insight7 automates coaching tips and rubric application, reducing the need for managers to spend time on manual evaluation or training. Why is AI powered call analytics important for EdTech teams?It allows organizations to scale coaching quality, maintain consistent evaluations, provide actionable insights, and free managers to focus on strategic improvement rather than manual grading. How does call analytics help evaluate learning coaches?Insight7 automatically analyzes Zoom calls, applies standardized rubrics, generates dashboards, and provides coaching tips, ensuring consistent evaluation across hundreds of interactions without manager training.
Customer Experience Insights| Turn CX Pain Points Into Revenue
Customer experience (CX) is often described as a journey. But for many organizations, that journey isn’t smooth, it’s full of obstacles, friction points, and inefficiencies that test customer loyalty at every turn. On the latest episode of the Insights Frontier, we spoke with Sean Albertson, a seasoned CX leader who has led teams at T-Mobile and other top organizations. Sean shared his unique approach to transforming customer pain points, what he calls “rocks”, into opportunities for growth and long-term loyalty. Here’s what we learned. What Are “Rocks” in Customer Experience? Sean’s concept of rocks comes from his decades of experience in CX, contact centers, and analytics. He explains: “I think of the customer journey like a river. We like to think we’ve created a smooth flow, but customers experience class 5 rapids. They bounce from channel to channel. Those are the rocks.” Rocks represent high effort situations, the obstacles customers encounter that can either make or break their loyalty. The key insight: effort is the most predictive action in determining loyalty. By identifying and removing these friction points, companies can drive meaningful improvements in the customer experience. Turning Obstacles into Opportunities Identifying friction points is only half the battle. Sean emphasizes that every challenge is an opportunity to excel and innovate: A single rock doesn’t block the river, it defines the direction. High-effort situations, when resolved efficiently, can make customers more loyal than if they hadn’t encountered an issue at all. CX teams can transform pain points into growth opportunities, creating processes that improve customer interactions while fostering internal collaboration. “Stop seeing rocks as negatives,” Sean says. “Focus on them as opportunities to recover and delight the customer.” The FIND Framework: How to Address Rocks Sean walks CX leaders through his FIND framework for turning pain points into actionable improvements: Focus – Understand the specific experience and context of the pain point. Identify – Pinpoint the exact challenge or obstacle in the customer journey. Navigate – Explore root causes, including hidden factors behind the scenes. Deliver – Design solutions that not only resolve the current issue but improve the overall customer experience moving forward. This systematic approach ensures organizations don’t just react to problems, they strategically address them and convert challenges into loyalty-building moments. Real World Example: Cross Functional Alignment Sean shared an example where a company tried to digitize processes to speed up customer interactions. Without alignment between departments, the changes caused broken workflows and escalations. By addressing the friction, teams collaborated across silos, creating aligned processes that improved not only the original task but other areas as well. “If they hadn’t experienced that friction, they might never have realized the need for collaboration. What seemed like a failure became a lasting opportunity for improvement.” Why CX Tools Aren’t Always Adopted, and How to Fix It Despite the explosion of AI and analytics tools, many companies struggle to adopt them effectively. Sean points out the common mistake: “Organizations chase shiny tools without first having a strategy. You need a strategy to identify challenges, then select tools to solve them, not the other way around.” He advises CX leaders to: Align technology adoption with strategic objectives. Measure ROI based on behavior, not just surveys. Focus on predictive metrics like Customer Effort Score rather than traditional satisfaction or Net Promoter Scores. Watch the full video here CX as a Growth Driver, Not a Cost Center A recurring challenge in CX is short term thinking. Many executives view CX as a cost center, leading to reduced investments or team downsizing. Sean argues that this is a mistake: “High-effort experiences make customers 13x more likely to leave. Improving those experiences drives loyalty, retention, and revenue – true ROI.” For CX leaders, the message is clear: connect CX improvements to measurable outcomes, such as reduced effort, faster resolution, and increased loyalty. Key Takeaways for CX Leaders For those just starting to identify rocks and convert them into growth opportunities: Understand your journey thoroughly – Know what customers are trying to achieve, not just the tasks they complete. Use analytics, AI, and storytelling – Combine data with stories to align leadership and teams. Focus on loyalty, not just metrics – Customer effort predicts retention; satisfaction alone doesn’t. Break down silos – Encourage cross-functional collaboration to address pain points comprehensively. Invest strategically – Adopt tools that solve clearly defined problems, not because they’re flashy. Sean also recommends joining communities to share insights, frameworks, and strategies with fellow CX leaders. Final Thoughts In CX, obstacles are inevitable, but they don’t have to be setbacks. With the right mindset, frameworks, and cross-functional alignment, every rock can be a launchpad for innovation, loyalty, and growth.
