# Feelingstream

> Conversational analytics platform that turns customer calls, chat, and email into actionable insights.

This is the fuller machine-readable context for feelingstream.com.
The short summary is /llms.txt. Fetch a page as Markdown with
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## Products
- /product/speech-to-text: Automatic speech-to-text — Multilingual speech-to-text built for real customer calls. Domain-tuned ASR with particular depth in Nordic and Baltic languages.
- /product/call-summaries: Automatic summaries — AI-generated summaries for every call, chat and email — cut after-call work, standardise notes and keep your CRM clean automatically.
- /product/quality-assurance: Automatic quality scoring — Score 100% of calls, chats and emails against your scorecard. Fair, auditable, automated QA — with every result traceable to the transcript.
- /product/sales-monitoring: Sales monitoring — See what actually happens in sales conversations. Learn which arguments win, spot missed opportunities and coach on evidence across every call.
- /product/agent-assist: Agent assist — Live guidance for agents during the conversation — the next best action and the right answer, surfaced in real time to cut hold time and hesitation.
- /product/knowledge-base-agent: Knowledge base agent — AI-powered answers grounded in your own documentation. Agents and customers get the right, current answer instead of hunting through wikis and PDFs.
- /product/data-security: Data security — ISO 27001-certified conversation analytics with EU data residency, on-premises or closed-cloud deployment, and PII masking in text and audio.

## Use cases

### AI-automated support
- /use-cases/auto-generated-faqs: Keep FAQs current in customers' own words — Cluster real questions from calls, chat and email to generate and update FAQs that match how customers actually ask — so fewer of them call.
- /use-cases/automated-draft-replies: Draft accurate replies for agents to send — Generate context-aware draft replies from your knowledge and history — agents review and send, cutting response times without losing quality.
- /use-cases/data-driven-self-service: Design self-service around real demand — Build chatbots and self-service on what customers actually ask, not assumptions — so containment rises without hurting satisfaction.

### Better work & work–life balance
- /use-cases/balance-workload: Balance workload across the team — Trend conversation volume by topic, channel, time and language to plan staffing and even out load — fewer overload spikes and steadier schedules.
- /use-cases/evidence-based-coaching: Coach on evidence, not anecdotes — Score every conversation so team leads coach on real trends and recognise genuine strengths — fair feedback that agents accept and act on.
- /use-cases/live-agent-assist: Guide agents live, in the conversation — Real-time assist surfaces the next best action and the right answer during the call — so agents handle queries confidently without juggling systems.
- /use-cases/recognise-good-work: Recognise great work, fairly — Surface high-scoring, high-empathy conversations for recognition and training — so praise reaches everyone, not just whoever gets watched.
- /use-cases/reduce-agent-burnout: Reduce agent burnout and attrition — Automate note-taking, summaries and answer-hunting so agents spend less time on admin and more on the customer — easing the load that drives attrition.

### Insight discovery
- /use-cases/churn-risk-detection: Hear churn risk before customers leave — Flag churn-risk language — competitor mentions, cancellation intent, repeated frustration — in real conversations, so retention can act early.
- /use-cases/voice-of-customer: Turn everyday conversations into insight — Aggregate demand, complaints, feature requests and sentiment from real conversations — and feed structured customer insight to teams that need it.

### Service quality & consistency
- /use-cases/compliance-script-adherence: Prove disclosures on every regulated call — Automatically check every relevant conversation for mandatory disclosures, consent and correct process — each result auditable against the transcript.
- /use-cases/detect-mis-selling: Catch mis-selling before it escalates — Flag conversations with mis-selling signals for review before they become complaints or audit findings — across every call, chat and email.
- /use-cases/detect-vulnerable-customers: Spot vulnerable customers and act with care — Surface conversations with vulnerability indicators so customers in hardship or distress are handled — and audited — with appropriate duty of care.
- /use-cases/equal-service-level: Deliver the same service level everywhere — Compare quality, resolution and tone across teams, sites and languages on one view — and close the gaps that leave service uneven.
- /use-cases/score-every-conversation: Score 100% of conversations, not a sample — Automated quality evaluation scores every call, chat and email against your scorecard — so QA is fair, complete and free of blind spots.

### Onboarding, knowledge & enablement
- /use-cases/faster-agent-onboarding: Onboard new agents faster with real calls — Train new hires on your top-scoring, real conversations by topic — with scored feedback from day one — to reach full productivity sooner.
- /use-cases/knowledge-base-agent: Give agents instant, correct answers — An AI knowledge base agent returns the right, current answer grounded in your documentation — so answers are consistent and hold time drops.
- /use-cases/product-launch-readiness: Stabilise a product launch faster — Track launch-related topics, confusion signals and silence in live conversations to spot enablement gaps within days — not after the damage is done.
- /use-cases/share-best-practice: Spread best practice across every site — Compare what top performers do across languages and sites, then codify it into guidance for all — so a great approach spreads instead of staying local.
- /use-cases/training-from-real-conversations: Build training from real conversations — Mine real calls, chats and emails for the questions customers actually ask — and turn them into up-to-date training and FAQs that close knowledge gaps.

### Speed & efficiency
- /use-cases/improve-first-call-resolution: Improve first-call resolution — Detect repeat contacts and the reasons behind them, then fix the process or knowledge gap that makes customers call back — raising first-call resolution.
- /use-cases/intent-based-routing: Route contacts by intent, not menus — Use detected topics and intents to send each contact to the right queue and prioritise urgent cases — cutting transfers and time-to-right-agent.
- /use-cases/reduce-after-call-work: Cut after-call work with automatic summaries — Auto-generate a structured summary and CRM note for every call, chat and email — so agents stop typing wrap-ups and handle the next customer sooner.
- /use-cases/reduce-call-silence: Reduce dead air and call silence — Measure silence per topic and per agent to expose the tooling and knowledge gaps that inflate handle time — then fix what causes the pauses.
- /use-cases/reduce-repetitive-contact: Reduce repetitive, avoidable contact — Rank the repetitive topics driving inbound volume by cost, then fix the root cause or deflect to self-service instead of answering forever.

## Industries
- /industries/insurance: Insurance — Knowing your customers lets you exceed their insurance expectations. Use conversational analytics to react to needs as they arise, ensure quality across every channel, and monitor for compliance.
- /industries/banking: Banking — Avoid contacts for issues customers could resolve themselves. Improve your digital channels based on the feedback in your customer conversations — find and measure issues, prioritise, and build what customers truly need.
- /industries/telecom: Telecom — Access and use every customer interaction as a source of knowledge. Save costs, earn more revenue, prevent customers from leaving, and reach higher satisfaction scores.
- /industries/utilities: Utilities — Powering a brighter future, one satisfied customer at a time. Analyse large volumes of customer data — feedback, complaints, and inquiries from calls, chatbots, and emails — to understand needs and increase engagement.

## Key pages
- /product: platform features
- /use-cases: scenarios by outcome
- /industries: vertical solutions
- /how-it-works: implementation and impact
- /security: ISO 27001, GDPR, data masking
- /blog: articles on conversation analytics and AI
- /newsroom: company announcements
- /contact: request a demo

## Docs
- /llms.txt: short product summary
- /llms-full.txt: this document