---
title: "Customer Experience"
description: "82 posts about Customer Experience, summarised, each linking to the original."
---

# Customer Experience
> 82 posts about Customer Experience, summarised, each linking to the original.

## Articles

### [Why 78% of customers try to bypass your AI agent](https://yomu.fyi/post/why-78-of-customers-try-to-bypass-your-ai-agent.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Jesse Sumrak
- Published: Aug 28, 2026
- Type: Explainer

Twilio research cited in the post finds that 78% of consumers have tried to bypass an AI agent to reach a human, while 63% want easy escalation and only 47% of brands provide it. The reported causes are unclear AI disclosure, discomfort with high-stakes tasks, and prior failures: 90% of tested consumers misidentify text-based AI, 80% report a negative AI experience, and failed attempts add 81 seconds before escalation. Consumers are most comfortable with scheduling and reservations, returns and exchanges, and concert seat selection, but pull back on medical inquiries, payments, and loan applications. The proposed operating model combines routine automation with clear disclosure, obvious escalation, persistent customer memory, and real-time detection of sentiment and escalation risk. It argues that trust, rather than wholesale replacement, should determine how humans and AI divide customer-service work.


### [Get in and out of the airport faster—and back to earning—with pickup codes](https://yomu.fyi/post/get-in-and-out-of-the-airport-faster-and-back-to-earning-with-pickup-c.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Aug 25, 2026
- Type: Announcement

The post introduces pickup codes, a new airport process intended to reduce eligible drivers’ waiting time, simplify rider matching, and help them return to the road sooner. Instead of a standard airport trip request or the usual queue, an eligible driver may receive a Driver app alert, choose a dedicated pickup-code line, and meet the next rider there. The rider provides a unique 6-digit code, distinct from the 4-digit PIN used for some non-airport pickups; the driver enters it in the app before the rider and luggage enter the vehicle, confirming the match. Trip details appear after confirmation, while fare information is available after completion, although the fare and destination can be viewed beforehand through the Waybill link in Trip Guide. Availability and eligibility vary by airport and product type, and drivers can instead remain in the waiting lot for a Trip Radar request without affecting their acceptance rate.


### [How to measure the customer experience as AI scales](https://yomu.fyi/post/how-to-measure-the-customer-experience-as-ai-scales.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: William Lane
- Published: Jul 1, 2026
- Type: Explainer

CSAT captures fewer than 10% of conversations, and its responses skew toward delighted or furious customers. Most customers say nothing, leaving teams to assess customer experience from an unrepresentative sample that compresses product, policy, and service issues into one score. As AI handles more conversations end-to-end, the post argues for scoring every AI and human interaction on service quality, resolution, customer effort, and related attributes rather than relying on survey responses alone. Fin’s CX Score assigns each interaction a 1–5 score and surfaces reasons behind it, providing roughly five times more coverage than CSAT for most teams. Fin sets targets from CX Score attributes, operational correlations, historical performance, modelling, and team ambition, then uses recurring patterns to route fixes to support, product, or workflow owners.


### [The new product introduction process: How to make sure your Agent is ready every time you ship](https://yomu.fyi/post/the-new-product-introduction-process-how-to-make-sure-your-agent-is-re.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Sean Reid
- Published: Jun 26, 2026
- Type: Tutorial

Frequent product releases can leave an AI Agent’s knowledge base outdated, causing it to hand off launch-related questions to humans when support volume peaks. The NPI process described here makes Agent readiness part of shipping, with support involved early in product, engineering, and go-to-market planning. Before launch, teams prepare clear customer-language content with full context, review and retire affected or duplicate material, then test likely questions, edge cases, and answer quality in the customer environment. At Fin, release details, walkthrough notes, demos, and GTM briefs form an input package for Operator, which proposes content updates, drafts, FAQ tests, and fixes. Post-launch Monitors and Scorecards track resolution rate and CX Score for two or four weeks, depending on launch complexity, to guide improvements.


### [Conversation design: How to make your AI Agent communicate like your team](https://yomu.fyi/post/conversation-design-how-to-make-your-ai-agent-communicate-like-your-te.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Fred Walton
- Published: Jun 18, 2026
- Type: Tutorial

AI agents need deliberate conversation design to communicate effectively with customers, covering tone, response structure, handoffs, interaction flow, and response quality. The post argues that without an explicit owner, an agent may over-explain, sound flat during frustration, or escalate too late, undermining trust and prompting customers to seek human help. It recommends defining a concise voice reference, adapting register to the situation, matching detail to the question, supporting customer-led topic changes, designing informative handoffs and follow-ups, and keeping behavioral instructions separate from knowledge-base content. Teams can begin without a dedicated hire by naming an owner, selecting a poorly performing conversation type, auditing instructions, and fixing the worst handoff first. At Fin, an A/B test raised CSAT from 72.8% to 78.4%.


### [How to make the case for giving your AI Agent system access](https://yomu.fyi/post/how-to-make-the-case-for-giving-your-ai-agent-system-access.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Dawn Perrott
- Published: Jun 11, 2026
- Type: Problem & solution

AI Agents can answer support questions without backend access, but they cannot complete changes such as payment-plan updates, claims, or account edits. Connecting an Agent to CRM, billing, order-management, or other systems moves support from explanation to end-to-end resolution, and the source frames that shift as the basis for an engineering request. Data from a 2026 Customer Service Transformation Report shows improved metrics among 87% of teams with mature AI deployment, versus 62% overall, while only 10% report reaching that stage; an internal comparison found Procedures with system access produced the largest gains in workflows requiring judgment, branching, live data, or handoffs. The recommended case starts with one high-volume, repeatable workflow, maps its data and actions, and defines a narrow pilot. Teams can then progress from no integration to read-only access and finally write actions, using measured results to justify further work.


### [Playing a different game](https://yomu.fyi/post/playing-a-different-game.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Eoghan McCabe
- Published: Jun 4, 2026
- Type: Announcement

Fin Voice 2 is presented as a customer-service voice agent designed to address the latency, complexity, and reliability demands of phone support. Built on Apex Flash, described as a model trained on millions of customer experience interactions and tuned for low-latency channels, it separates real-time speech processing from the answer-generation layer rather than routing speech through a general text workflow. The product is claimed to deliver faster, more natural conversations, higher resolution rates, and higher customer satisfaction, though the post does not provide measurements. It can reportedly handle identity verification, refunds, appointments, emotional-state changes, confirmations, external-system actions, proactive follow-up calls, and contextual handoffs to human agents. Fin Voice 2 also adds configuration and management features, including call-quality and behavior insights, topic analysis, one-click recommendations, and self-service controls.


### [What really matters when evaluating AI Agents for customer service?](https://yomu.fyi/post/what-really-matters-when-evaluating-ai-agents-for-customer-service.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Declan Ivory
- Published: May 22, 2026
- Type: Explainer

Evaluating an AI Agent for customer service requires more than measuring accuracy, resolution rates, containment, or benchmark performance on curated datasets. A credible proof of concept should reproduce real support conditions, including multi-turn, vague, sensitive, multilingual, rephrased, and multi-source queries, while testing recovery, task tracking, and human handoffs. It should also assess the customer experience: natural, on-brand tone, trust, graceful uncertainty, and seamless transitions can differ even when quantitative scores match. Finally, teams should examine whether conversations can be reviewed for gaps, how quickly knowledge and behavior can be updated, and how the vendor supports ongoing improvement. The resulting POC demonstrates not only that the Agent works now, but that it can support long-term operational success after launch.


### [Today Intercom becomes Fin](https://yomu.fyi/post/today-intercom-becomes-fin.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Eoghan McCabe
- Published: May 12, 2026
- Type: Announcement

Intercom is changing its company name to Fin while retaining Intercom for its customer service software platform, including the recently launched Intercom 2 rebuild. The company says all 1,400 employees are now employed by Fin, named after its leading customer agent platform, which it says is about to become the largest part of the business. The change follows three years of promoting the service agent category under Fin, often with Intercom in the background, and reflects a belief that established brands carry baggage when repositioning. The CEO argues that newcomers benefited from having no prior market position to explain, despite Intercom’s claim of superior technology, and presents the renaming as part of a broader transformation spanning culture, pricing, products, and investment priorities.


### [How we turned support into a revenue engine at Intercom](https://yomu.fyi/post/how-we-turned-support-into-a-revenue-engine-at-intercom.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Franka Martinovic
- Published: May 8, 2026
- Type: Problem & solution

After Fin improved resolution rates and efficiency at Intercom, support gained capacity and began testing a consultative role focused on customer value and company goals. The team generated campaign ideas through a support town hall, then assigned a small volunteer group to proactively help self-serve customers with Fin trials, optimization, and adoption. Volunteers were trained to probe customer context rather than only resolve immediate issues, while sales and success teams provided guidance on timing and outreach. Over six months, engaged accounts grew roughly twice as fast in usage and expansion as accounts contacted without a response; the team also tracked resolutions, automation, and influenced expansion ARR. The initiative expanded into cross-functional partnerships and a ~16-person volunteer group, positioning support as a contributor to adoption, retention, and expansion revenue.


### [Announcing Fin for Ecommerce: Fin’s next role as a Customer Agent](https://yomu.fyi/post/announcing-fin-for-ecommerce-fin-s-next-role-as-a-customer-agent.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Robert Davitt
- Published: May 7, 2026
- Type: Announcement

Fin for Ecommerce is a new Customer Agent role for Shopify merchants, combining shopping assistance with ecommerce support before and after purchase. It helps shoppers discover products through conversational questions, live browsing context, catalog retrieval, comparisons, complementary recommendations, cart updates, and checkout guidance, while handling returns, refunds, exchanges, order changes, tracking, and shipping questions in the same conversation. The system uses Fin Apex 1.0 with an ecommerce retrieval engine and connects to Shopify to sync products, variants, content, order data, inventory, and APIs. Merchants can add Messenger and set Fin live in minutes without manual training; Shopify API integrations also let Fin use Procedures for complex requests, with drafts based on account data and company policies for review. The announcement positions Fin as a single Agent spanning discovery, purchase, and post-purchase support, with named ecommerce brands already using it.


### [Introducing Uber VIP - Premium Rewards For Top Riders](https://yomu.fyi/post/introducing-uber-vip-premium-rewards-for-top-riders.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Apr 28, 2026
- Type: Announcement

Uber VIP is a no-cost monthly rewards program for riders in Nashville who complete 10 Uber trips each month. Members receive access to the highest-rated driver-partners, premium rides in top-quality cars, advance access to promotions, VIP-only giveaways and perks, and a monthly newsletter featuring local discounts and events. VIP rides cost the same as uberX, although the program warns that fewer VIP vehicles may mean longer wait times. Riders qualify by taking 10 rides in Nashville during each monthly period; Uber says it will provide status updates and automatically add VIP to eligible accounts at the start of every month. Keeping the benefit active requires completing another 10 rides per month, with examples of local discounts including Two Ten Jack and Blowout Co.


### [Strengthen customer loyalty and employee engagement with Vouchers for Uber Eats](https://yomu.fyi/post/strengthen-customer-loyalty-and-employee-engagement-with-vouchers-for.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Apr 28, 2026
- Type: Announcement

Uber for Business is introducing Vouchers for Uber Eats, a meal-benefit feature intended to help organisations engage customers, guests, and employees during changing work and event routines. Businesses can create single or bulk voucher campaigns, choose coverage amounts, and apply controls for spending per order, order counts, dates, times, and other parameters. Recipients claim vouchers through an Uber account and redeem them at checkout, while administrators can track claims, meals ordered, total spending, and costs within a set time frame. The post presents uses including feeding teams returning to work, supporting remote events, treating clients, welcoming guests, and recognising employees, with no-contact delivery and access to 400,000 restaurant partners in over 6,000 cities cited as supporting options. It also says average delivery time is under 30 minutes, based on internal Uber data from 2018.


### [Uber for Business](https://yomu.fyi/post/uber-for-business.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Apr 28, 2026
- Type: Explainer

Uber for Business is a centralized platform that helps organizations manage rides, meal deliveries, incentives, and related programs. Since 2014, it has brought Uber’s technology to organizations across industries, and the page says more than 200,000 companies use it worldwide, including more than half of the Fortune 500. Administrators can create travel and meal programs, set policies, spending limits, approved locations, and user access, while employees and clients use the Uber and Uber Eats apps. Dashboards provide spending, compliance, reporting, ride status, costs, and emissions data, with expense integrations such as Navan. Use cases include airport and event rides, subsidized commutes, courtesy transportation, executive travel, individual or group meals, and customer incentives.


### [The hardest percentages](https://yomu.fyi/post/the-hardest-percentages.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Pratik Bothra
- Published: Apr 14, 2026
- Type: Announcement

Complex customer-support queries are relatively infrequent but consume disproportionate handling time and shape customers’ memories of service, especially when they require action across systems. The post distinguishes informational, personalized, and action-led queries, then positions Fin Procedures as a way to automate complex cases through configurable multi-step processes using natural-language SOPs, branching logic, data connectors, and AI-powered simulations. Since managed-availability launch, Procedures has handled more than 1.5 million conversations across hundreds of apps, with volume doubling month over month; a randomized 5% holdout found CSAT 28.93% higher when Procedures ran. The product is available to all 8,000+ Fin customers and adds review, failure reporting, rollback, connector monitoring, email simulation, and Agent in the Loop checkpoints for human approval or missing integrations.


### [From swarms to product: Turning customer signals into scalable features](https://yomu.fyi/post/from-swarms-to-product-turning-customer-signals-into-scalable-features.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Kevin O'Brien
- Published: Apr 13, 2026
- Type: Explainer

Intercom’s Fin teams use cross-functional swarms to identify customer needs while helping customers increase automation and understand the product. In these high-touch engagements, engineers, data scientists, and a product manager analyze conversations, APIs, Procedures, and workflows, using fast feedback to test configuration changes and estimate achievable automation; one manual taxonomy analysis took more than half a day and predicted a 70% rate that the customer achieved. Cockpit then encodes swarm patterns into repeatable workflows, letting customer success managers and Sales assess automation potential, diagnose issues, and suggest next actions across accounts without repeated data-science involvement. It also tests whether ideas generalize before product development. Patterns that prove broadly useful, robust, and scalable can move into product features such as the automation taxonomy in Insights and CX Score, which measures conversation quality; unlike Cockpit, product features must work for every customer without configuration.


### [Announcing Monitors: Opening the AI black box](https://yomu.fyi/post/announcing-monitors-opening-the-ai-black-box.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Alissa Tyrangiel
- Published: Mar 25, 2026
- Type: Announcement

Intercom announced Monitors, a new Fin product area intended to complete its observability suite alongside Insights and Recommendations. It addresses the limits of random sampling, CSAT, and spreadsheet-driven quality assurance by letting teams select conversations with filters or natural-language criteria, including risk signals, and maintain repeatable samples. Custom Scorecards then define business-specific evaluation criteria, weighting, and critical failures, with scoring performed by AI, humans, or both to produce an overall quality score. Flagged conversations enter a Review Queue for assignment, notes, status tracking, and follow-up fixes, while reporting compares scores with CX Score, resolution rate, Monitors, and Scorecards over time. Monitors for Fin conversations is live, with human-agent QA, real-time alerts, and knowledge-base evaluation identified as planned additions.


### [Transformation in action: Raising the bar for customer experience](https://yomu.fyi/post/transformation-in-action-raising-the-bar-for-customer-experience.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Declan Ivory
- Published: Mar 20, 2026
- Type: Explainer

AI is shifting support from reactive backlog management toward proactive experience design, as teams gain capacity through faster, more efficient service across languages and time zones. The report says 58% rank experience and satisfaction as their top 2026 priority, up from 28%, while mature deployment triples the share able to always meet expectations from 9%. Intercom’s support team expanded access, improved first-response rates, and added onboarding sessions while absorbing a 300% demand increase without expanding headcount, enabled by deep integration of Fin. Clay uses Fin across Slack, email, and in-app chat, where it handles half of roughly 7,000 monthly queries and participates in 90% of all queries. The recommended model treats support as a product, combines AI with human handoffs, anticipates needs, builds trust, and personalizes interactions.


### [Transformation in action: Why ROI becomes clearer with deeper integration](https://yomu.fyi/post/transformation-in-action-why-roi-becomes-clearer-with-deeper-integrati.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Declan Ivory
- Published: Mar 20, 2026
- Type: Explainer

Customer service teams often see early AI gains in response speed and efficiency, but deeper operational integration produces larger returns and makes value easier to measure. Research cited in the 2026 Customer Service Transformation Report says 62% of support teams have improved metrics after implementing AI, rising to 87% among teams at mature deployment; the share able to measure ROI rises from 35% to 70%. As deployment matures, teams shift from measuring time and cost savings to tracking how freed capacity supports higher-value customer work and revenue-generating activity. The proposed AI-first economic model treats AI as a workforce capability that improves human productivity, system improvement, revenue influence, and organizational agility. Intercom’s Fin illustrates the model: it is involved in 97% of customer conversations, resolves 83.5% end-to-end, and helped absorb more than 300% demand growth without scaling headcount.


### [Transformation in action: Why AI deployment depth makes the difference](https://yomu.fyi/post/transformation-in-action-why-ai-deployment-depth-makes-the-difference.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Declan Ivory
- Published: Mar 20, 2026
- Type: Explainer

AI adoption is widespread in customer service, but the report identifies a deployment gap between organizations experimenting with the technology and those integrating it deeply into operations. Based on a survey of 2,470 global support professionals, it finds that 82% of senior leaders invested in AI in the past year and 87% plan to invest in 2026, while only 10% report mature deployment. Mature teams put AI at the core of workflows, give it meaningful responsibility, and use continuous improvement to achieve higher-quality, more consistent support; 43% report that outcome, nearly double the rate for teams at initial deployment. Lightspeed illustrates the approach by combining tailored training, executive alignment, content investment, and AI operations discipline, reaching 72% Fin resolution without human intervention across 43,000-plus monthly requests and 12-plus languages.


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