Real-Time Frustration Alerts
Klarion AI detects high frustration in active conversations and across recent account activity, then alerts the right people to intervene fast.
Built for Support, CS, and Product on the same source of truth.
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Tickets are a rich source of customer pain and needs. Klarion AI reads complete tickets and extracts all distinct Problems, Complaints, Help Requests, and Feature Requests inside each ticket. Multi-issue tickets don't distort your metrics, and you capture all accompanying feedback.
Klarion AI detects and excludes spam, auto-replies, misroutes, and non-feedback tickets before they corrupt volume, sentiment, and issue reporting.
Extract and populate fields with key context and metadata using Klarion AI. You gain consistent data, and your agents gain time to help customers.
Visual heatmaps reveal where feedback clusters by topic or any segment (plan, region, product line) and type (Problem, Complaints, Help). Toggle between Volume and Frustration Intensity to separate "frequent" from "severe".
Click any hotspot to see the exact recurring issue patterns behind it, ranked by frequency, pain, and revenue impact. This turns “something’s wrong in Billing” into “these three issues are causing the pain.”
The share of feedback incidents that are High or Severe frustration. It's the fastest way to spot sharp edges and rising customer anger, even when ticket volume isn't huge.
Klarion measures the support effort behind an issue and how it trends, revealing what’s truly driving costs, handle time, backlog, and headcount pressure. Traditional ticket counts treat all tickets as equal, masking where the real burden actually comes from.
Links issues to the ARR of impacted accounts so you can prioritize by exposure. It surfaces the problems most likely to create renewal drag, expansion friction, or executive escalations.
One view shows frequency, trend, impacted customers, pain level, and revenue exposure.
Summarizes the conditions where the issue occurs and which resolution paths succeed or fail.
Extracts what customers are asking for, including fixes, workflows, and missing features, grounded in verbatim feedback.
Audit the truth instantly. Click through from issue to incident to the original conversation.
An early-warning system that rolls up recent support activity and frustration signals, so you can spot accounts trending toward escalation or churn and intervene before renewals or expansions are at risk.
No need to read dense tickets. Get an easy-to-scan list of what the account is experiencing, with clear summaries of each issue and the recent pattern, built for QBR prep, internal alignment, and renewal narratives.
A topic heatmap shows where issues cluster within the account, so you can focus the action plan, route to the right teams, and make precise cross-functional asks.
Klarion AI detects high frustration in active conversations and across recent account activity, then alerts the right people to intervene fast.
See how Klarion turns support conversations into executive-ready clarity. In one walkthrough, you’ll see hotspots, recurring issues, frustration alerts, and account-level risk views in action.
Get a DemoCustomer intelligence software is a strategic platform that evaluates support tickets, chats, and feedback to uncover what customers are actually experiencing. While standard reporting tracks volume and metadata, Klarion’s customer intelligence goes deeper by analyzing the recurring patterns within support cases and feedback, connecting it to CRM data and assessing customer and business impact. This helps teams connect customer signals directly to business outcomes like reduced support load, protected revenue, and data-driven product roadmaps.
Customer conversation analytics is the process of using AI to transform raw customer conversations, such as support tickets and chats, into structured, actionable insights. By analyzing the full dialogue instead of just metadata, Klarion’s conversation analytics identifies recurring problems, complaints, and help requests that manual tagging often misses. This provides a more reliable, “unfiltered” view of customer friction without relying on anecdotal reviews or inconsistent ticket dispositions.
Customer feedback analysis is the systematic process of interpreting qualitative data from support tickets, reviews and other sources, to identify recurring pain points and prioritize improvements. Using modern AI and data science techniques, Klarion analyzes 100% of customer conversations to transform unstructured text into clear patterns. This allows teams to understand which issues carry the greatest operational or commercial impact, ensuring the “voice of the customer” directly influences product roadmaps and success strategies.
Built-in reporting in platforms like Zendesk or HubSpot is effective for operational ticket counts, but it rarely captures the root cause of customer friction and its business impact. These tools typically stop at the ticket level and miss multi-issue conversations or deeper recurring patterns across cases. Klarion adds a specialized layer of customer intelligence by analyzing full transcripts, quantifying support burden, customer frustration, and revenue risk, and connecting support data with CRM data to help teams monitor account-level health.
Klarion uses AI to parse full conversations and extract multiple, independent signals from a single ticket, such as separate problems, complaints and help requests. Unlike traditional systems that force a single “tag” or “disposition” on a ticket, Klarion analyzes every issue mentioned within a transcript independently. This gives teams an accurate view of what is truly driving support costs, customer pain and revenue risk across large volumes of conversations.
Klarion measures customer frustration at the issue level by evaluating indicators such as customer effort, impact, sentiment, and escalation risk. Rather than assigning a single sentiment score to a whole ticket, Klarion assesses the “pain” of each specific problem mentioned. This helps teams spot high-friction issues faster, prioritize recurring problems more strategically, and monitor customer health with greater confidence.
Klarion creates account-level signals by aggregating conversation analysis from every ticket associated with a specific customer and mapping it against CRM data. Klarion tracks worsening customer experience and friction reported directly by the customer. This allows Success teams to see how individual issues compound over time within a single account. By monitoring these rising friction trends, teams get an early-warning system for churn risk, escalation risk, and threats to revenue expansion.
Klarion eliminates noise by automatically filtering out spam, auto-replies, merged tickets, and internal workflow notifications that distort reporting. In many support environments, up to 30% of tickets do not contain meaningful customer feedback. By cleaning these inputs first, Klarion ensures that your conversation analytics and feedback trends are based only on actual customer interactions.
