Chapter 1: What Is Customer Experience?
Basis Topic
Define CX through the customer's eyes—an end-to-end, emotion-driven perception shaped across every touchpoint and owned by the whole company.
Key Topics
- Defining CX: Beyond Support and Satisfaction
- The Emotional Core of Experience
- Why CX Is Every Department's Responsibility
Writing Checklist (Definition of Done)
- Overview captures end-to-end, emotion-driven nature
- Each key topic expanded with examples
- Introduce a simple CX definition/framework
- 2–3 caselets illustrating good vs. poor CX
- Metrics that customers actually feel
- Pitfalls (e.g., equating CX with support only)
- Actionable checklist and summary
Overview
Customer Experience (CX) is the customer's holistic perception of your brand formed across every interaction over time. It is not a department, a ticket queue, or a post-purchase survey score. It is the sum of promises you make and keep, the emotions you evoke, and the ease with which people achieve their goals with you.
The Three Foundational Truths of CX
Understanding CX requires accepting three fundamental truths that shape how we design, deliver, and measure experiences:
1. End-to-End Journey
Experiences begin before awareness and extend beyond purchase into use, support, renewal, and advocacy. Your customer's journey doesn't start when they click "buy" or end when they receive the product. It encompasses:
- Pre-Purchase Phase: Research, comparison, initial contact
- Purchase Phase: Decision-making, transaction, onboarding
- Usage Phase: Day-to-day interaction, value realization
- Support Phase: Problem resolution, assistance, education
- Renewal Phase: Upgrade decisions, contract renewals
- Advocacy Phase: Referrals, reviews, community participation
2. Emotion-Driven Perception
People remember how you made them feel, not just what you delivered. Moments that delight or disappoint disproportionately shape memory and loyalty.
Example: Two customers receive the same product on the same day. Customer A receives proactive shipping updates, accurate delivery time, and a personalized thank-you note. Customer B receives no updates, has to track the package themselves, and finds generic packaging. Same product, vastly different emotional experience.
3. Cross-Functional Ownership
Every team influences CX—sales sets expectations, product delivers value, operations creates reliability, finance affects trust, and support restores confidence.
This chapter defines CX clearly, contrasts it with support and satisfaction, and lays out a lightweight framework you can use to align teams on what experience you're trying to create—and how you'll measure whether customers can feel the difference.
Defining CX: Beyond Support and Satisfaction
Working Definition
Customer Experience is the customer's cumulative perception of your brand formed by interactions and outcomes across their journey, compared against their expectations and alternatives.
This definition emphasizes several critical elements:
- Cumulative: It's not a single moment but the sum of all touchpoints
- Perception: Reality matters, but perception is what drives behavior
- Across their journey: From first awareness to last interaction
- Against expectations: What customers thought would happen vs. what did happen
- Against alternatives: Customers compare you to competitors and best-in-class experiences
What CX Is NOT
Understanding what CX is NOT is equally important to avoid common misconceptions:
| What People Often Think | What CX Actually Is |
|---|---|
| Just customer support | Support handles incidents; CX spans the whole journey and aims to prevent incidents |
| Just satisfaction (CSAT) | Satisfaction measures a moment; CX is the story across moments. A string of "satisfied" events can still feel disjointed |
| Just UX (User Experience) | UX focuses on product interfaces; CX includes policies, pricing, logistics, and human interactions |
| A department or role | CX is a company-wide discipline requiring cross-functional collaboration |
| Only about being "nice" | CX is about being effective, efficient, and empathetic—in that order |
| Post-purchase only | CX begins with first awareness and continues through advocacy |
Detailed Example: Support vs. CX Thinking
Scenario: A customer can't log into their account.
| Support Thinking | CX Thinking |
|---|---|
| How quickly can we resolve this ticket? | Why are login failures happening? How can we prevent them? |
| What's our average response time? | What's the customer's total time investment (including waiting, explaining, verifying)? |
| Did we solve the immediate problem? | Did we address the root cause and communicate proactively to others who might be affected? |
| Was the customer satisfied with our response? | How does this fit into their overall perception of our reliability? |
Attributes of Strong CX
World-class customer experiences share four essential characteristics:
1. Intentional Design
- Customer-Goal Oriented: Designed around what customers are trying to accomplish, not internal processes
- Journey Mapping: Explicitly planned touchpoints rather than accidental interactions
- Persona-Based: Tailored to different customer segments and their unique needs
Example: Amazon's "1-Click Ordering" was intentionally designed around the customer goal of "buy with minimal friction," not around the company's order processing workflow.
2. Consistency Across Channels
- Messaging Alignment: What marketing promises matches what sales delivers matches what the product does
- Tone Continuity: Brand voice remains consistent whether in email, chat, phone, or in-person
- Quality Standards: Service level doesn't vary wildly between channels or team members
Example: Apple's Genius Bar provides the same helpful, non-condescending support whether you visit in-store, call, or chat online.
3. Low-Effort Experience
- Minimal Steps: Default path requires the fewest possible actions
- Cognitive Load Reduction: Clear instructions, smart defaults, progressive disclosure
- Self-Service Options: Customers can help themselves when and how they prefer
Poor Example: Requiring customers to call during business hours to cancel a subscription they signed up for online in 30 seconds.
Good Example: Netflix allows one-click cancellation online, anytime, with clear information about when access ends.
4. Trust-Building Practices
- Transparency: Clear about costs, timelines, limitations, and what happens next
- Fairness: Policies that balance business needs with customer respect
- Dependability: Consistently delivering on commitments, especially during failures
Example: When a flight is delayed, airlines that proactively rebook, offer compensation options, and provide regular updates build more trust than those that leave passengers guessing.
The Promise → Proof → Memory Framework
This simple three-part framework helps align teams around delivering coherent experiences:
1. PROMISE: What You Say You'll Do
- Marketing campaigns and brand messaging
- Sales presentations and proposals
- Website copy and product descriptions
- Onboarding communications
- UI labels and microcopy
Critical Question: Are we being clear and realistic about what customers should expect?
2. PROOF: What Actually Happens
- Product fit and performance
- Delivery and fulfillment
- Support responsiveness and effectiveness
- Billing accuracy and transparency
- Policy application in practice
Critical Question: Does our execution match or exceed the promises we made?
3. MEMORY: How the Experience Is Encoded Emotionally
- Peak moments (positive or negative)
- Ending experiences (last touchpoint)
- Unexpected delights or disappointments
- Effort required to achieve goals
Critical Question: What emotional story will customers tell themselves and others about us?
Framework Application Example
Company: A meal kit delivery service
| Framework Stage | Current State (Misaligned) | Improved State (Aligned) |
|---|---|---|
| Promise | "Farm-fresh ingredients delivered to your door" | "Fresh ingredients delivered Tuesday-Thursday, 6-9 PM, with 24-hour notice of any substitutions" |
| Proof | Deliveries arrive randomly; wilted lettuce; no notification about substitutions | Consistent delivery windows; quality checks; proactive SMS for substitutions with opt-out option |
| Memory | "They promise fresh but deliver inconsistently; I never know what I'm getting" | "They're transparent and reliable; when issues happen, they fix them fast" |
The Emotional Core of Experience
Why Emotion Matters More Than Features
Emotion is the lens through which customers perceive the same facts differently. Two orders arriving on the same day can feel very different depending on expectation setting, updates along the way, and how issues are handled.
Research Foundation: Daniel Kahneman's Nobel Prize-winning research on behavioral economics shows that humans don't evaluate experiences rationally. We remember them through an emotional filter, heavily weighted by peaks and endings.
Three Core Emotional Principles
Principle 1: Expectations Shape Emotion
Under-promising wastes opportunity to create positive surprise; over-promising creates distrust and disappointment. The goal is to set realistic expectations, then meet or beat them.
Practical Examples:
| Scenario | Poor Expectation Setting | Good Expectation Setting |
|---|---|---|
| Shipping | "Ships in 2-3 days" (but often takes 5) | "Ships in 5-7 days" (arrives in 4) |
| Support Response | "We'll get back to you soon" | "We'll respond within 24 business hours" |
| Product Capability | "Integrates with everything" | "Integrates with Salesforce, HubSpot, and Marketo; see full list here" |
| Onboarding Time | "Get started in minutes" | "Initial setup takes 15 minutes; full value unlocks after 2-3 sessions" |
Principle 2: The Peak-End Rule
People judge experiences largely by the most intense moment (the peak) and the ending, not by the average of all moments.
Implication: You don't need to make every moment perfect. Focus resources on:
- Creating deliberately positive peaks
- Ensuring positive or dignified endings
- Eliminating severely negative peaks
Example - Disneyland Application:
- Positive Peak: Meeting favorite characters, "surprise" FastPass upgrades
- Managed Negatives: Queue entertainment reduces negative emotion during waits
- Positive Ending: Fireworks show, staff waving goodbye, clean parks create final positive memory
Principle 3: Control and Clarity Reduce Anxiety
Proactive status updates, self-service options, and clear next steps increase perceived control and satisfaction—even when the outcome is the same.
Research: Studies show that customers prefer:
- A delayed delivery with tracking updates over faster delivery with no information
- Self-service options even if they take longer than waiting for help
- Clear timelines, even if they're longer, over vague "we'll try our best"
Practical Implementation:
Emotional Moments: Designing Peaks and Endings
Types of Peaks to Design
Positive Peaks:
-
First-Use "Aha" Moment: When the product first delivers value
- Example: Slack's "sent our first message as a team" moment
- Example: Spotify's "here's your personalized playlist based on your first few songs"
-
Unexpected Delight: Going beyond baseline expectations
- Example: Zappos upgrading to overnight shipping without being asked
- Example: Hotel room upgrade or welcome amenity
-
Milestone Celebrations: Acknowledging customer achievements
- Example: Duolingo celebrating 30-day streaks
- Example: Fitness apps celebrating personal records
Negative Peaks to Eliminate or Minimize:
- Confusion Peaks: Unclear what to do next, where to find information
- Friction Peaks: Unnecessary steps, repetitive information requests
- Anxiety Peaks: Uncertainty about status, outcomes, or next steps
Types of Endings to Design
Positive Endings:
-
Transaction Completion: Clear confirmation and next steps
- Example: "Order confirmed! Here's what happens next..."
-
Support Resolution: Explicit closure with follow-up option
- Example: "Issue resolved. We'll check in with you in 48 hours to ensure it stays fixed."
-
Dignified Offboarding: Respectful cancellation/exit process
- Example: "Sorry to see you go. Your access continues until [date]. Want to export your data?"
Poor Endings (Anti-Patterns):
- Obstructive Cancellation: Making it hard to leave
- Shaming Language: "Are you sure you want to lose all these benefits?"
- No Closure: Leaving customers uncertain if the interaction is complete
Emotional Journey Mapping Example
Scenario: First-time user signing up for a project management tool
| Journey Stage | Customer Goal | Emotional State | Designed Moment | Type |
|---|---|---|---|---|
| Landing page | Understand if this fits my needs | Curious but skeptical | Clear value prop, visual demo | Neutral |
| Sign-up | Get started quickly | Impatient | One-click SSO, no credit card | Low-friction |
| First login | See what this can do | Uncertain | Template library: "Start with a pre-built project template" | Positive Peak |
| First task created | Accomplish something | Hopeful | Micro-celebration: "Great! You created your first task. Here's what else you can do..." | Positive Peak |
| Invite team | Get others involved | Socially anxious | Pre-written invite text, explanation of what teammates see | Anxiety reduction |
| First collaboration | Work together | Excited | "Your team is collaborating! [teammate name] just commented on your task" | Positive Peak |
| Week 1 ending | Assess progress | Reflective | "This week, your team completed 12 tasks together. Here's what's next..." | Positive Ending |
Why CX Is Every Department's Responsibility
The Problem: Organizational Silos Break Customer Experience
Customers don't experience your organization chart—they experience your service as a whole. When departments work in isolation, the customer feels the gaps.
Common Scenario:
Customer's Experience: "They told me 30 days, but it's been 60. Support says it's normal, but Sales promised otherwise. Nobody seems to be on the same page."
The Solution: Shared Ownership Model
Experience breaks where organizations do. Treat CX as a shared system with clear roles:
Executive Level
Role: Sets experience vision and defines 3-5 brand behaviors that every team can operationalize
Responsibilities:
- Define the experience vision (e.g., "Every customer feels respected and in control")
- Allocate resources for CX improvements across departments
- Model customer-centric decision-making
- Hold functional leaders accountable for CX outcomes
- Resolve cross-functional conflicts with customer impact as the tie-breaker
Example Brand Behaviors (Amazon):
- Customer obsession over competitor focus
- Invent and simplify
- Earn trust
CX/Experience Lead
Role: Orchestrates journeys, runs Voice of the Customer (VOC), and stewards standards
Responsibilities:
- Map and monitor end-to-end customer journeys
- Aggregate and distribute Voice of Customer feedback
- Define and track experience metrics (NPS, CES, CSAT)
- Facilitate cross-functional journey reviews
- Maintain experience standards and guidelines
- Identify and escalate systemic experience issues
Tools They Own:
- Customer journey maps
- Experience metrics dashboards
- VOC aggregation and analysis
- CX governance rituals
Functional Teams
Role: Own the quality of their touchpoints and contribute to journey outcomes
Department-Specific Ownership:
| Department | CX Ownership | Key Metrics | Example Actions |
|---|---|---|---|
| Marketing | Promise accuracy; brand expectations | Message-reality gap; awareness quality | Ensure campaigns reflect actual capabilities; test messaging with current customers |
| Sales | Expectation setting; value alignment | Win rate; customer health in first 90 days | Qualify fit before closing; document commitments in writing |
| Product | Usability; value delivery; reliability | Feature adoption; time-to-value; uptime | Build for actual use cases; optimize onboarding; monitor performance |
| Engineering | Performance; stability; data security | System uptime; incident response time | Proactive monitoring; transparent status pages |
| Operations | Delivery accuracy; fulfillment speed | On-time delivery; error rates | Process optimization; quality checks |
| Support | Issue resolution; tone; effort reduction | CES; first-contact resolution; CSAT | Knowledge base maintenance; agent empowerment |
| Finance | Billing clarity; pricing transparency | Billing inquiry volume; payment friction | Clear invoices; flexible payment options |
| Legal | Policy clarity; fairness perception | Terms-related complaints; policy understanding | Plain language policies; customer-friendly defaults |
Rituals That Create Shared Ownership
Organizations that excel at CX don't just talk about it—they build rituals that force cross-functional collaboration around customer outcomes.
1. Weekly VOC Triage (30-45 minutes)
Purpose: Review top customer feedback themes and decide on immediate actions
Participants: CX lead, product manager, support lead, operations lead
Structure:
- Review (10 min): Top 5 feedback themes from past week, with volume and severity
- Decide (20 min): Which issues to address, who owns them, timeline
- Communicate (10 min): What to tell customers who reported issues
- Follow-up (5 min): Status on previous week's commitments
Example Outcome: "53 customers reported checkout errors on mobile. Engineering will deploy fix by EOD Wednesday. Support will proactively email affected customers with update and 10% discount code."
2. Monthly Journey Review (60-90 minutes)
Purpose: Deep-dive one end-to-end journey per month, including backstage dependencies and metrics
Participants: Cross-functional team representing all journey touchpoints
Structure:
- Select Journey (5 min): Which journey to review (rotate through key journeys)
- Map Current State (20 min): Walk through actual customer path with data
- Identify Pain Points (20 min): Where are drop-offs, complaints, high effort?
- Backstage Analysis (15 min): What internal processes cause customer pain?
- Prioritize Improvements (20 min): What to fix, who owns it, by when
- Success Metrics (10 min): How will we measure improvement?
Example Journey Reviews:
- Month 1: New customer onboarding (first 30 days)
- Month 2: Support ticket resolution
- Month 3: Contract renewal process
- Month 4: Product upgrade/expansion
- Month 5: Cancellation and offboarding
- Month 6: Billing and payment
3. Quarterly Promise-Proof Audit (2-3 hours)
Purpose: Check that external messaging matches internal reality; adjust either the promise or the proof
Participants: Marketing, sales, product, CX lead, executive sponsor
Structure:
- Collect Promises (30 min): What do we say on website, sales decks, ads, contracts?
- Compare to Proof (45 min): What do metrics and feedback say we actually deliver?
- Identify Gaps (30 min): Where do promises exceed proof? Where do we under-promise?
- Action Plans (45 min):
- Upgrade proof to match promise (product/operations improvements)
- Adjust promise to match proof (messaging changes)
- Communicate changes to customers
Example Findings:
| Promise | Proof | Gap | Action |
|---|---|---|---|
| "24/7 support" | Support available but avg. response time is 6 hours overnight | Response time expectation unclear | Update to "24/7 support with 1-hour response during business hours, 6-hour response overnight" |
| "Integrates with all major CRMs" | Only Salesforce and HubSpot work well | Overstated capability | Change to "Integrates with Salesforce and HubSpot; API available for custom integrations" |
| "Easy setup in minutes" | Actual average setup time is 45 minutes | Under-promised | Keep promise but add setup wizard and better guidance to reduce time |
Cross-Functional Collaboration Model
Frameworks & Tools
1. CX Definition Canvas
Use this canvas to align your organization on the experience you're creating.
| Element | Questions to Answer | Your Answers |
|---|---|---|
| Customer Goals | What are customers trying to accomplish with us? What constraints do they face (time, budget, expertise)? | |
| Promises We Make | What do we explicitly and implicitly promise through marketing, sales, and product messaging? | |
| Proof We Deliver | What do our product, services, policies, and people actually deliver? Where's the gap? | |
| Moments to Design | Which 2-3 peak moments should we deliberately engineer? What ending experiences matter most? | |
| Signals to Watch | Which metrics reflect what customers actually feel? (Not just internal efficiency) |
Completed Example - SaaS Analytics Tool:
| Element | Your Answers |
|---|---|
| Customer Goals | Understand user behavior to improve product. Constraints: limited time, varied technical skill, need insights fast |
| Promises We Make | "See user insights in 5 minutes" / "No SQL required" / "Real-time data" |
| Proof We Deliver | Installation takes 30 min; first insight requires setup; data has 2-hour delay; some features require SQL |
| Moments to Design | Peak 1: First insight appears (make this <10 min). Peak 2: "Aha" when they find unexpected insight. Ending: Export/share report successfully |
| Signals to Watch | Time-to-first-value; weekly active usage; feature adoption; support tickets about "how to..."; NPS segmented by tenure |
2. Touchpoint Inventory Worksheet
Map the critical moments where customers interact with your brand.
| Touchpoint | Department Owner | Volume (monthly) | Current CSAT/CES | Known Pain Points | Promise vs. Proof Gap |
|---|---|---|---|---|---|
| Website first visit | Marketing | 10,000 | N/A | Slow load time; unclear value prop | Promise: fast, clear; Proof: slow, confusing |
| Sales demo | Sales | 200 | 4.2/5 | Too long; not customized | Promise: tailored; Proof: generic |
| Contract signing | Sales + Legal | 50 | 3.8/5 | Complex terms; slow process | Promise: simple; Proof: complicated |
| Onboarding email | Customer Success | 50 | 4.0/5 | Too much info at once | Promise: guided; Proof: overwhelming |
| First login | Product | 45 | 3.5/5 | Unclear where to start | Promise: intuitive; Proof: confusing |
| First value achieved | Product | 30 | 4.8/5 | Takes too long to reach | Promise: 5 min; Proof: 30+ min |
| Support ticket | Support | 150 | 4.1/5 | Long wait times | Promise: fast; Proof: slow |
| Monthly invoice | Finance | 50 | 3.2/5 | Unclear charges | Promise: transparent; Proof: confusing |
| Renewal conversation | Customer Success | 15 | 4.5/5 | Pricing surprises | Promise: fair; Proof: unexpected increases |
| Cancellation | Customer Success | 5 | 2.8/5 | Hard to cancel; guilt-tripping | Promise: no commitment; Proof: exit friction |
How to Use This Worksheet:
- List your top 10-15 touchpoints by volume or impact
- Identify the department primarily responsible
- Add current satisfaction or effort scores if available
- Document known pain points from feedback
- Note where promises (marketing/sales) don't match proof (actual experience)
- Prioritize gaps to address based on impact and feasibility
3. Peak-End Moment Designer
Use this template to deliberately design memorable moments.
Peak Moment Design Template:
| Element | Details |
|---|---|
| Moment Name | First insight appears in dashboard |
| When It Happens | Within first 15 minutes of account setup |
| Customer State | Hopeful but uncertain if this will work for them |
| Current Experience | Blank dashboard with "set up your tracking" message |
| Desired Emotion | "Wow, this actually works and gives me something useful immediately" |
| Designed Experience | Pre-populate dashboard with demo data showing key insights; offer "Use demo data" or "Connect your data"; celebrate when first real data appears |
| Success Metric | % of users who see first real insight within 30 min increases from 30% to 70% |
Examples & Case Studies
Caselet 1: SaaS Onboarding & Cancellation Transformation
Initial State (Poor CX)
Company: Cloud-based project management SaaS with $99/month subscriptions
Onboarding Promise: "Get value in minutes—no training required"
Onboarding Reality:
- Sign-up takes 2 minutes
- First login shows empty workspace
- Getting value requires importing existing projects
- Import process requires CSV formatting, manual field mapping
- Average time-to-first-value: 3 days
- 35% of new users never complete setup
- Month-one churn: 22%
Cancellation Promise: "No long-term commitment—cancel anytime"
Cancellation Reality:
- Cancel button buried in settings
- Requires calling support during business hours
- Support agent asks multiple "Are you sure?" questions
- Emphasizes what customer will lose
- No option to pause or downgrade
- Cancellation NPS: -45
Transformation Actions
Onboarding Redesign:
-
Created "Quick Win" Path:
- Added pre-built project templates (Marketing Campaign, Software Launch, Event Planning, etc.)
- Users can start with template and customize, OR import existing data
- Template projects show example tasks, workflows, automations
-
Added Progress Feedback:
- Visual progress bar for setup steps
- Micro-celebrations: "You created your first project! Here's what you can do next..."
- Contextual tooltips that appear only when relevant
-
Reduced Cognitive Load:
- Progressive disclosure: show core features first, advanced features later
- Smart defaults for project settings
- In-app video clips (15-30 seconds) showing specific features in context
Cancellation Redesign:
-
Streamlined Exit:
- Self-service cancellation directly in settings
- Clear button: "Cancel subscription"
- One confirmation dialog, no guilt-tripping
-
Added Flexibility:
- Option to pause subscription (1-3 months)
- Option to downgrade to free tier (keep data, limited features)
- Option to export all data before canceling
-
Respectful Communication:
- Exit survey: "Help us improve" (optional, 2 questions max)
- Clear information: "Your access continues until [date]. Your data remains available for 90 days."
- Re-activation option: "Changed your mind? Reactivate anytime with one click."
Results
Onboarding Impact:
- Time-to-first-value: dropped from 3 days to 30 minutes (avg)
- Setup completion rate: increased from 65% to 88%
- Month-one churn: fell from 22% to 18%
- Early engagement: 65% of new users now invite at least one team member in first week (up from 40%)
Cancellation Impact:
- Cancellation NPS: improved from -45 to +12
- Pause adoption: 30% of would-be cancellations chose to pause instead
- Downgrade adoption: 25% chose free tier instead of canceling
- Re-activation rate: 18% of cancelled users returned within 6 months (vs. 5% previously)
- Overall churn: decreased by 8 percentage points
Business Outcome: Despite easier cancellation, customer lifetime value increased 23% due to longer tenure and better word-of-mouth.
Caselet 2: Retail Returns Experience Overhaul
Initial State (Poor CX)
Company: Mid-size online apparel retailer
Returns Promise: "Hassle-free returns within 30 days"
Returns Reality:
- Customer must print return label (many customers don't have printers)
- Must package item securely (no guidance provided)
- Must drop off at specific carrier locations during business hours
- No transparency on return status after drop-off
- Refund takes 10-14 days after return received
- Customer Service can't make exceptions without manager approval (manager rarely available)
Customer Impact:
- Returns mentioned in 40% of negative reviews
- Customer Effort Score (CES) for returns: 4.2/7 (high effort)
- 15% of customers with return experience don't purchase again
Transformation Actions
Returns Redesign:
-
Printerless Returns:
- Option to receive QR code via email/text
- QR code accepted at 50,000+ drop-off locations (UPS, FedEx, USPS)
- Location finder integrated in returns flow
-
Pre-Filled Process:
- Returns portal auto-populates order information
- Pre-printed labels sent with original order for easy returns
- Clear packaging instructions with visual guides
-
Flexible Drop-Off:
- Expanded drop-off locations (including 7-Eleven, Walgreens)
- Home pickup option for orders over $100
- Extended drop-off hours (24-hour locations highlighted)
-
Transparent Timeline:
- Email/text when carrier scans package
- Update when warehouse receives item
- Clear refund timeline: "Refund processed within 2 business days of receipt"
- Proactive notification when refund is issued
-
Frontline Empowerment:
- CS agents can approve exceptions up to $200 without manager
- Pre-approved exception scenarios (damaged items, delayed shipping, etc.)
- Script focuses on "making it right" rather than "preventing fraud"
-
Thoughtful Communication:
- Returns email tone: helpful, not defensive
- "We're sorry this didn't work out. Here's how to return it..."
- Include sizing guidance for next purchase
- Offer exchange option before refund
Results
Quantitative Impact:
- Customer Effort Score (CES): dropped from 4.2 to 2.7 (35% reduction in effort)
- Return processing time: reduced from 10-14 days to 4-6 days
- Return completion rate: increased from 85% to 96% (fewer customers giving up mid-process)
- Repeat purchase rate among customers who returned items: increased from 50% to 59%
Qualitative Impact:
- Returns no longer mentioned in top-5 complaint themes
- Positive reviews specifically mention "easy returns" as a reason to trust the brand
- Net Promoter Score (NPS) among customers with return experience: increased from -12 to +28
Business Outcome:
- Despite easier returns, return rate remained stable (indicates same products, better process)
- Customer lifetime value increased 15% due to higher repeat purchase rate
- Word-of-mouth referrals increased 12% (customers mention "risk-free shopping")
Caselet 3: B2B Support to Proactive Success Transformation
Initial State (Reactive Support)
Company: B2B software serving mid-market companies ($500-2000/month contracts)
Support Model:
- Reactive ticket queue (customers contact us when problems occur)
- Average response time: 8 hours
- Average resolution time: 2.5 days
- No proactive outreach
- No usage monitoring
- Customer Success team only engages at renewal time
Customer Impact:
- Customers feel "on their own" between sales and renewal
- Problems fester because customers delay contacting support
- 30% of churn attributed to "not getting value" (solvable problems)
- NPS: +15
Transformation Actions
From Reactive to Proactive:
-
Usage Monitoring & Health Scores:
- Developed customer health score (usage frequency, feature adoption, active users, support tickets)
- Automated alerts when health score drops
- Weekly dashboard for CS team showing at-risk accounts
-
Proactive Outreach Triggers:
- User hasn't logged in for 7 days → automated "checking in" email with helpful resources
- User attempts feature 3+ times without success → proactive offer to help
- Usage drops 30% month-over-month → CS outreach to understand why
- New feature release relevant to customer's use case → personalized walkthrough offer
-
Milestone Celebrations:
- 30 days active → "You're up and running! Here's what to try next..."
- 100 projects created → achievement badge and tip for power users
- 1 year anniversary → thank you note from founder + case study opportunity
-
Educational Cadence:
- Monthly webinar on specific feature/use case
- Quarterly "office hours" with product team
- Personalized tips based on usage patterns ("We noticed you use X heavily; have you tried Y?")
-
Predictive Issue Resolution:
- System monitors for common error patterns
- Proactive notification: "We noticed [issue] affecting your account. Here's what we're doing to fix it..."
- Status page for transparency on incidents
Results
Engagement Impact:
- Customers receiving proactive outreach have 40% higher feature adoption
- "Time to resolution" becomes "time to prevention"—many issues solved before customer notices
- Support ticket volume decreased 25% (fewer issues escalate to tickets)
Retention Impact:
- Churn attributed to "not getting value" dropped from 30% to 12%
- Overall churn decreased 18%
- Expansion revenue increased 35% (engaged customers adopt more features)
Advocacy Impact:
- NPS increased from +15 to +42
- Customer reference participation rate: 45% (industry average: 15%)
- Reviews specifically mention "they actually care about our success"
Metrics & Signals
Choosing Metrics Customers Actually Feel
The best CX metrics reflect what customers experience, not just internal efficiency. Pair quantitative metrics with qualitative narratives to understand the "why" behind the numbers.
The Core CX Metrics
1. Net Promoter Score (NPS)
What It Measures: Relationship-level loyalty and willingness to recommend
Question: "On a scale of 0-10, how likely are you to recommend us to a friend or colleague?"
Scoring:
- 9-10: Promoters (enthusiastic advocates)
- 7-8: Passives (satisfied but unenthusiastic)
- 0-6: Detractors (unhappy, may discourage others)
- NPS = % Promoters - % Detractors
When to Use:
- Quarterly or bi-annually for overall relationship health
- After major milestones (onboarding complete, 6 months active, renewal)
- Segmented by customer type, tenure, product usage
Strengths:
- Simple, standardized, comparable across industries
- Correlates with growth (promoters buy more, stay longer, refer others)
Limitations:
- Doesn't tell you what to fix
- Cultural bias (some cultures avoid extremes)
- Can be gamed or misinterpreted
Best Practice: Always include "Why did you give that score?" and tag responses by theme.
Example Analysis:
| Segment | NPS | Top Detractor Themes | Top Promoter Themes |
|---|---|---|---|
| 0-3 months | +12 | Complex setup, unclear value | Great support, better than alternatives |
| 3-12 months | +35 | Missing features, pricing concerns | Saves time, easy to use |
| 12+ months | +58 | Occasional bugs, want more integrations | Reliable, great team, continuous improvement |
2. Customer Satisfaction (CSAT)
What It Measures: Satisfaction with a specific interaction or moment
Question: "How satisfied were you with [specific experience]?"
Scoring: Typically 1-5 scale (Very Dissatisfied to Very Satisfied)
When to Use:
- After specific touchpoints (support ticket, purchase, onboarding session)
- After feature use or product updates
- After events or webinars
Strengths:
- Immediate feedback on specific moments
- Easy to understand and act on
- Can be deployed frequently
Limitations:
- Moment-in-time snapshot (doesn't reflect overall relationship)
- Response bias (very happy or very unhappy respond more)
- Doesn't measure effort or loyalty
Best Practice: Ask specific questions about specific moments, not general satisfaction.
Poor Example: "How satisfied are you with our company?" (too vague)
Good Example: "How satisfied were you with the checkout process today?" (specific, actionable)
3. Customer Effort Score (CES)
What It Measures: How much effort customers expend to accomplish their goals
Question: "How much effort did you personally have to put forth to [accomplish task]?"
Scoring: 1-7 scale (Very Low Effort to Very High Effort)
When to Use:
- After task completion (purchase, support resolution, account setup)
- For processes you want to simplify
- Where friction is suspected
Strengths:
- Best predictor of loyalty (low-effort experiences drive repeat behavior)
- Actionable (identifies where to reduce friction)
- Correlates with churn (high-effort experiences drive attrition)
Limitations:
- Assumes customers want low effort (sometimes they want high-touch)
- Doesn't measure delight or emotional connection
- Requires context about what "effort" means
Best Practice: Use CES for transactional processes; pair with open-ended "What made this difficult?"
Example CES Tracking:
| Process | Current CES | Target CES | Top Effort Drivers | Planned Improvements |
|---|---|---|---|---|
| Account signup | 2.1 | 1.5 | Email verification, password requirements | SSO, passwordless option |
| First project setup | 4.5 | 2.5 | Unclear steps, too many fields | Template library, smart defaults |
| Support ticket resolution | 3.8 | 2.0 | Multiple contacts, repeating info | Context retention, callback option |
| Invoice payment | 3.2 | 1.8 | Finding invoice, payment options | Auto-pay, SMS payment link |
Additional CX Metrics
Time-to-First-Value (TTFV)
What It Measures: Time from signup to first meaningful value realization
Why It Matters: Faster value realization drives activation and retention
How to Track: Define what "first value" means for your product, then measure time from signup to that event
Example Definitions:
- SaaS analytics: First insight viewed in dashboard
- Project management: First task marked complete
- E-commerce: First purchase delivered
- Marketplace: First successful transaction
Activation Rate
What It Measures: Percentage of signups who reach meaningful usage milestones
Why It Matters: Activated users are far more likely to become paying, retained customers
How to Track: Define activation criteria (e.g., "completed onboarding + used core feature 3+ times in first week"), then measure % of signups who activate
Promise-Keep Rate
What It Measures: How often you deliver on explicit commitments
Why It Matters: Trust is built on reliability; broken promises erode loyalty
How to Track: Identify measurable promises (delivery date, response time, feature availability), then track delivery rate
Examples:
- On-time delivery rate: 94% (target: 95%)
- Support response within SLA: 88% (target: 95%)
- Promised feature delivery: 76% (target: 90%)
Repeat Purchase Rate
What It Measures: Percentage of customers who make multiple purchases
Why It Matters: Strong indicator of satisfaction and loyalty; cheaper than new acquisition
How to Track: % of customers with 2+ purchases within defined time period (e.g., 12 months)
Churn & Retention
What It Measures: Percentage of customers lost (churn) or retained over time
Why It Matters: Retention is foundation of sustainable growth; churn indicates experience failures
How to Track:
- Churn rate = Lost customers ÷ Total customers at start of period
- Retention rate = Customers at end ÷ Customers at start (excluding new)
Best Practice: Segment churn by reason (product fit, price, support, competition, usage) to identify fixable issues
Complaint Themes & Volume
What It Measures: What customers are complaining about and how often
Why It Matters: Complaints are direct signals of experience failures
How to Track: Tag complaints by theme (product bug, shipping delay, billing error, etc.), track volume over time, measure resolution rate
Example Dashboard:
| Theme | This Month | Last Month | Change | Resolved | Avg. Resolution Time |
|---|---|---|---|---|---|
| Shipping delays | 87 | 102 | -15% ↓ | 85 (98%) | 1.2 days |
| Billing errors | 34 | 28 | +21% ↑ | 30 (88%) | 3.5 days |
| Product bugs | 56 | 61 | -8% ↓ | 52 (93%) | 2.1 days |
| Feature requests | 45 | 41 | +10% ↑ | N/A | N/A |
Pairing Numbers with Narratives
Rule: Every quantitative metric should be paired with qualitative insight.
Why: Numbers tell you something changed; narratives tell you why and what to do about it.
How to Implement:
-
Always Include Open-Ended Follow-Up:
- After NPS: "What's the main reason for your score?"
- After CSAT: "What could we have done better?"
- After CES: "What made this difficult?"
-
Tag Qualitative Responses:
- Create 10-15 tags per metric (for NPS: pricing, support, ease of use, reliability, etc.)
- Tag each response (can have multiple tags)
- Track tag frequency over time
-
Analyze Patterns:
- Segment scores by tag (e.g., "Detractors mentioning 'bugs' give avg. score of 3")
- Identify which themes have biggest impact on scores
- Prioritize improvements based on frequency + impact
-
Share Stories, Not Just Scores:
- In executive reports, include 2-3 verbatim quotes representing key themes
- In team meetings, read actual customer feedback aloud
- Create highlight reels of customer video testimonials
Example Narrative Analysis:
Metric: NPS dropped from +35 to +28 this quarter
Quantitative View: "NPS declined 7 points"
Narrative View: "NPS declined primarily due to Detractors mentioning 'mobile app bugs' (mentioned in 45% of Detractor responses, up from 12% last quarter). Promoters still cite 'saves time' and 'great support,' but several Passives mentioned 'waiting for promised features' that haven't shipped. The mobile app bug fix should be prioritized, and we should reassess our feature communication."
Pitfalls & Anti-Patterns
Common CX Mistakes That Undermine Experience
Even well-intentioned organizations fall into predictable traps. Recognizing these anti-patterns helps you avoid them.
Pitfall 1: Treating CX as a Department
What It Looks Like:
- "CX" team sits in a silo, separate from product, sales, support
- Other teams say "that's CX's job" when experience issues arise
- CX lead has no authority to change product, policies, or processes
- Metrics owned exclusively by CX team
Why It's Harmful:
- Customer experience is the result of every department's work
- Siloed CX team becomes suggestion box with no power to fix root causes
- Other teams de-prioritize customer impact because "someone else owns it"
How to Avoid:
- CX is a discipline, not a department
- Every team owns their contribution to customer journeys
- CX lead orchestrates, but functional teams execute
- Metrics shared across teams with joint accountability
Example Fix: Instead of "CX team will handle customer complaints," shift to "Support owns resolution; Product owns root cause fixes; CX lead tracks themes and facilitates cross-functional prioritization."
Pitfall 2: Optimizing for Internal Efficiency Over Customer Effort
What It Looks Like:
- Metrics like "tickets per agent" drive behavior, not "customer effort"
- Processes designed around internal workflows, not customer goals
- Self-service built to deflect volume, not to empower customers
- Policies favor company convenience over customer flexibility
Why It's Harmful:
- Low internal effort often creates high customer effort (burden shifting)
- Customers feel like they're working for you, not the other way around
- Short-term efficiency gains create long-term loyalty losses
Examples:
| Company-Optimized Approach | Customer-Optimized Approach |
|---|---|
| Force customers to call during business hours (easier for us) | Allow async email/chat anytime (easier for them) |
| "Please reference your account number, order number, and ticket number" | Look up customer by email or phone |
| Separate support queues by product/team (easier to route) | Unified inbox where customers don't have to know who to contact |
| Auto-close tickets after 3 days of no response (cleans up queue) | Keep tickets open until customer confirms resolution |
How to Avoid:
- Measure customer effort, not just internal efficiency
- Ask "How would this feel from the customer's perspective?"
- When designing processes, start with customer goal and work backwards
- When efficiency and effort conflict, default to reducing customer effort
Pitfall 3: Vanity Metrics & Measurement Theater
What It Looks Like:
- High CSAT on low-stakes moments while ignoring high-impact pain points
- Celebrating "95% satisfaction" when only happy customers respond to surveys
- Tracking metrics that don't correlate with retention or loyalty
- No action taken based on metrics ("we measure it, but don't use it")
Why It's Harmful:
- False sense of success while customers quietly churn
- Resources allocated to improving irrelevant metrics
- Teams learn that metrics don't matter because nothing changes
Examples of Vanity Metrics:
- CSAT on "Was this email helpful?" (trivial interaction)
- NPS collected but never analyzed or acted upon
- Support response time in seconds when customers care about resolution time in days
- Website traffic when conversion rate is falling
How to Avoid:
- Measure what customers actually feel and what predicts their behavior
- Focus on high-impact touchpoints and journeys
- Ensure every metric has an owner and an action threshold
- Close the loop: "You told us X was a problem; here's what we did"
Pitfall 4: Inconsistent Endings
What It Looks Like:
- Great acquisition and usage experience, but frustrating cancellation
- Smooth buying process, painful returns process
- Excellent support during active use, hostile when customer wants to leave
- Product works great until renewal, when pricing surprises emerge
Why It's Harmful:
- Endings are disproportionately memorable (Peak-End Rule)
- Poor endings destroy all the good will built earlier
- Negative word-of-mouth focuses on endings ("they make it impossible to cancel")
Examples:
| Experience Stage | Good Experience | Poor Ending |
|---|---|---|
| Subscription | Easy signup, great onboarding | Have to call to cancel; guilt-tripping |
| E-commerce | Fast checkout, quick delivery | Complex returns, delayed refunds |
| SaaS Trial | Smooth trial experience | Automatic charge without reminder |
| Contract Renewal | Transparent pricing all year | Surprise price increase at renewal |
How to Avoid:
- Design endings with same care as beginnings
- Make exit as easy as entry (if signup takes 2 minutes, cancellation should too)
- Respectful offboarding: "Sorry to see you go; here's how to export your data"
- Surprise and delight at the end, not just the beginning
Pitfall 5: Channel Myopia
What It Looks Like:
- Optimizing one channel (e.g., website) at the expense of the cross-channel journey
- Different quality of service by channel (great on chat, terrible on phone)
- Forcing customers into company's preferred channel, not customer's
- No context carried between channels (customer has to re-explain on phone after chatting)
Why It's Harmful:
- Customers don't think in channels; they think in journeys
- Forcing channel switching creates effort and frustration
- Inconsistency across channels signals internal dysfunction
Example Scenario:
Customer Journey: Needs to change subscription plan
| Current State (Channel Myopia) | Improved State (Journey Focus) |
|---|---|
| Can upgrade online instantly | Can upgrade OR downgrade online instantly |
| Must call to downgrade | Self-service for both directions |
| Chat agent says "I can't help, you need to call" | Chat agent can handle or escalate seamlessly |
| Phone agent has no visibility into chat history | All channels share context; customer doesn't repeat |
| Different pricing shown on web vs. what phone quotes | Consistent pricing across all channels |
How to Avoid:
- Map journeys across channels, not just within channels
- Maintain context when customers switch channels
- Offer channel choice based on customer preference, not company convenience
- Ensure consistent quality and information across all channels
Pitfall 6: Over-Promising in Acquisition, Under-Delivering in Reality
What It Looks Like:
- Marketing makes bold claims that product can't fulfill
- Sales commits to timelines or features that aren't available
- Pricing appears lower than actual total cost
- Free trial leads to unexpected charges
Why It's Harmful:
- Creates expectation-reality gap (the root of disappointment)
- Attracts wrong customers who churn when they discover mismatch
- Destroys trust, making future communication ineffective
Examples:
| Over-Promise | Reality | Customer Experience |
|---|---|---|
| "Setup in 5 minutes" | Actually takes 2 hours with data import | "They lied about how easy this is" |
| "Works with all tools" | Only integrates with 3 specific platforms | "Doesn't do what they said" |
| "$99/month" | Plus $50 for features shown in demo | "Bait and switch pricing" |
| "24/7 support" | Chatbot at night, humans only business hours | "Support isn't really 24/7" |
How to Avoid:
- Promise-Proof Audit quarterly (see Rituals section)
- When in doubt, under-promise and over-deliver
- Be specific instead of superlative ("integrates with Salesforce, HubSpot, Marketo" vs. "integrates with everything")
- Test marketing claims with current customers: "Does this match your experience?"
Pitfall 7: Ignoring the "Silent Majority"
What It Looks Like:
- Only collecting feedback from customers who complain or those who are super happy
- Assuming "no news is good news" from quiet customers
- Focusing only on vocal minority while silent majority churns
- No proactive outreach to understand passive users
Why It's Harmful:
- Most customers don't complain; they just leave
- Feedback from vocal customers may not represent broader experience
- By the time you hear about problems, many customers have already decided to churn
How to Avoid:
- Proactively survey representative sample, not just responders
- Monitor usage patterns and reach out when engagement drops
- Create low-friction feedback mechanisms (quick polls, reaction buttons)
- Regular "Voice of Customer" interviews with randomly selected customers
Checklist: Implementing CX Foundations
Use this checklist to ensure you've established the foundational elements of customer experience in your organization.
Strategy & Definition
- Write your one-sentence CX definition that emphasizes end-to-end journey, emotion, and cross-functional ownership
- Complete the CX Definition Canvas with your team (customer goals, promises, proof, moments to design, signals to watch)
- Identify 3-5 brand behaviors that every department can operationalize (e.g., "respect customer time," "make complexity invisible")
- Define what "first value" means for your product/service and measure time-to-first-value
Journey & Touchpoint Mapping
- Map your top 10 touchpoints using the Touchpoint Inventory Worksheet (identify owners, pain points, promise-proof gaps)
- Document 2-3 critical customer journeys end-to-end (e.g., onboarding, support resolution, renewal)
- Identify 3 moments to deliberately design: 2 positive peaks and 1 positive ending
- Conduct a Promise-Proof Audit: List what you promise vs. what you deliver, identify gaps, create action plans
Metrics & Measurement
- Select primary CX metrics (recommend starting with NPS for relationship, CSAT for moments, CES for effort)
- Add CES measurement to one high-effort task in your customer journey
- Implement qualitative follow-up for all quantitative metrics ("why?" questions and tagging)
- Create simple dashboard showing CX metrics by segment and trends over time
- Define action thresholds: At what score/trend will you take action?
Organizational Ownership
- Assign CX accountability: Who orchestrates? Who owns touchpoints? Who sets vision?
- Establish Weekly VOC Triage ritual: 30-45 minutes with cross-functional team to review feedback and decide on actions
- Schedule Monthly Journey Reviews: Pick one journey per month to deep-dive with cross-functional participants
- Add CX metrics to functional team dashboards: Every team should see customer impact of their work
- Create communication plan: How will you share customer feedback and CX insights across the organization?
Quick Wins & Immediate Actions
- Fix your worst-rated touchpoint: Use CSAT/CES data to identify it, then dedicate resources to improvement
- Simplify one high-effort process: Remove steps, add clarity, provide self-service
- Design one positive peak: Create a deliberate moment of delight in your journey
- Improve one ending: Make cancellation, returns, or offboarding more respectful and easier
- Close the loop on one major piece of feedback: Tell customers "You told us X was a problem; here's what we did"
Long-Term Foundations
- Build customer empathy practices: Support shadowing, customer interviews, usage observation
- Integrate CX into hiring and onboarding: Every employee should understand their impact on customer experience
- Create experience standards document: What does "good" look like for each major touchpoint?
- Establish continuous improvement process: How do you identify, prioritize, and implement CX improvements over time?
Summary
Customer Experience (CX) is the story customers tell themselves about your brand—shaped by expectations, emotions, and the ease of achieving their goals. It's not a department, a ticket queue, or a single metric. It's the cumulative perception formed across every interaction in the customer journey.
Core Principles to Remember
-
End-to-End Thinking: CX begins before first awareness and extends beyond purchase into use, support, renewal, and advocacy. Design for the whole journey, not just individual moments.
-
Emotion Drives Memory: Customers remember how you made them feel more than what you delivered. Manage expectations, design deliberate peaks, and create positive endings.
-
Cross-Functional Ownership: Every department shapes CX. Sales sets expectations, product delivers value, operations ensures reliability, support restores confidence, and finance affects trust. Break down silos through shared rituals and metrics.
-
Promise → Proof → Memory: Align what you promise (marketing, sales) with what you deliver (product, service) and how it's remembered (peak moments, endings). When promise and proof align, memory becomes positive.
-
Measure What Customers Feel: Track NPS for loyalty, CSAT for moment satisfaction, CES for effort. Pair numbers with narratives to understand the "why" behind scores.
-
Low-Effort Wins: The easiest experiences create the most loyalty. Default to reducing customer effort, even when it increases internal effort.
-
Design Intentionally: Great experiences don't happen by accident. Deliberately design peak moments, smooth endings, and consistent touchpoints.
Taking Action
Start with these three steps:
- Define: Complete the CX Definition Canvas with your team to align on the experience you're creating
- Measure: Add one new metric (recommend CES for a high-effort process) and act on the results
- Improve: Fix your worst-rated touchpoint or design one positive peak moment
CX is not a project with an end date—it's an ongoing discipline of understanding what customers need, delivering on promises, and continuously improving based on feedback and outcomes.
When you define the experience you want to create, align promises and proof, design memorable peaks and respectful endings, and make ownership truly cross-functional, you build more than satisfied customers—you build advocates, loyalty, and sustainable growth.
The rest of this book will build on these foundations, providing frameworks, tools, and practices for designing, delivering, and evolving customer experiences that drive business results.
References & Further Reading
Foundational Books
-
Kahneman, Daniel. Thinking, Fast and Slow (2011)
- Foundational research on decision-making, including Peak-End Rule and how memory works
- Essential for understanding the emotional and psychological basis of customer experience
-
Dixon, Matthew; Toman, Nick; DeLisi, Rick. The Effortless Experience: Conquering the New Battleground for Customer Loyalty (2013)
- Research-backed argument that reducing customer effort is the highest-impact CX strategy
- Introduces Customer Effort Score (CES) and how to reduce friction
-
Pine, Joseph; Gilmore, James. The Experience Economy (1999)
- Seminal work on the shift from products/services to experiences as economic value
- Framework for staging memorable experiences
-
Rawson, Alex; Duncan, Ewan; Jones, Conor. "The Truth About Customer Experience" (Harvard Business Review, 2013)
- Focus on customer journeys rather than individual touchpoints
- Importance of consistency across the journey
Service Design & Journey Mapping
-
Bitner, Mary Jo; Ostrom, Amy L.; Morgan, Felicia N. "Service Blueprinting: A Practical Technique for Service Innovation" (2008)
- Academic foundation for service blueprinting
- How to map backstage processes that enable frontstage experiences
-
Kalbach, James. Mapping Experiences: A Complete Guide to Creating Value through Journeys, Blueprints, and Diagrams (2016)
- Practical guide to various mapping techniques
- Tools for visualizing customer experiences
Metrics & Measurement
-
Reichheld, Frederick. "The One Number You Need to Grow" (Harvard Business Review, 2003)
- Original Net Promoter Score (NPS) research and methodology
- Correlation between promoters and business growth
-
Forrester Research. Customer Experience Index (ongoing research)
- Industry benchmarks and CX measurement methodologies
- Research on emotion, effectiveness, and ease
Organizational Culture & Change
-
Manning, Harley; Bodine, Kerry. Outside In: The Power of Putting Customers at the Center of Your Business (2012)
- How to create customer-centric organizational culture
- CX governance and operating models
-
Temkin Group (XM Institute). "Customer Experience Competencies" (ongoing research)
- Framework for building CX capabilities across organizations
- Maturity models and assessment tools
Behavioral Economics & Psychology
-
Ariely, Dan. Predictably Irrational (2008)
- How irrational decision-making affects customer behavior
- Applications to pricing, choice architecture, and experience design
-
Heath, Chip; Heath, Dan. The Power of Moments: Why Certain Experiences Have Extraordinary Impact (2017)
- Framework for creating defining moments: elevation, insight, pride, connection
- Practical examples of peak moment design
This chapter establishes the foundations of Customer Experience. The following chapters will build on these concepts with specific frameworks for journey mapping, touchpoint design, organizational transformation, and measurement systems.