{"id":525,"date":"2025-03-05T20:20:11","date_gmt":"2025-03-06T01:20:11","guid":{"rendered":"https:\/\/businessagility.education\/blog\/?p=525"},"modified":"2025-03-05T21:47:21","modified_gmt":"2025-03-06T02:47:21","slug":"jobs-to-be-done-ai-agility","status":"publish","type":"post","link":"https:\/\/businessagility.education\/blog\/jobs-to-be-done-ai-agility\/","title":{"rendered":"Jobs-To-Be-Done (JTBD) + AI Agility"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<h1 class=\"wp-block-heading\"><strong>Introduction<\/strong><\/h1>\n\n\n\n<p>Businesses today collect more customer data than ever before, yet <strong>most innovations fail<\/strong>. According to McKinsey (2023), <strong>94% of executives<\/strong> report dissatisfaction with their company\u2019s innovation performance, and Harvard Business Review (2019) notes that <strong>85% of new consumer products fail within two years<\/strong>.<\/p>\n\n\n\n<p>The primary reason? <strong>Businesses focus too much on who their customers are rather than why they buy.<\/strong> Traditional marketing emphasizes <strong>demographics, psychographics, and survey-based customer insights<\/strong>, but these fail to capture the deeper motivations behind consumer behavior.<\/p>\n\n\n\n<p>The <strong>Jobs-to-Be-Done (JTBD) framework<\/strong>, pioneered by <strong>Clayton Christensen<\/strong>, offers a <strong>causal<\/strong> understanding of customer behaviour, helping businesses create <strong>better products, services, and marketing strategies<\/strong> by focusing on the real reasons people make purchasing decisions.<\/p>\n\n\n\n<p>In this article, we\u2019ll explore:<br>\u2705 <strong>The origins of JTBD<\/strong> and how it emerged from the study of failed innovations.<br>\u2705 <strong>How customers \u201chire\u201d and \u201cfire\u201d products<\/strong> based on their needs.<br>\u2705 <strong>Key JTBD principles and their impact on business strategy.<\/strong><br>\u2705 <strong>Real-world case studies<\/strong> showcasing successful JTBD-driven innovations.<br>\u2705 <strong>How businesses can implement JTBD for competitive advantage.<\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"What you Need to Know about Jobs-To-Be-Done (JTBD) + AI and Business Agility\" width=\"580\" height=\"326\" src=\"https:\/\/www.youtube.com\/embed\/-917Pk1H61Q?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The Origins of Jobs-to-Be-Done (JTBD)<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Why Traditional Innovation Fails<\/strong><\/h3>\n\n\n\n<p>For decades, businesses have relied on <strong>customer personas, focus groups, and surveys<\/strong> to guide product development and marketing. Yet, despite these efforts, many companies fail to anticipate real consumer needs.<\/p>\n\n\n\n<p>\ud83d\udca1 <strong>Key Examples of Failed Innovation:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Segway (2001)<\/strong> \u2013 Marketed as a futuristic mode of transport but failed to identify a practical &#8220;job&#8221; that needed solving.<\/li>\n\n\n\n<li><strong>New Coke (1985)<\/strong> \u2013 Assumed taste was the key driver for soft drink purchases, ignoring emotional and brand loyalty factors.<\/li>\n\n\n\n<li><strong>Google Glass (2014)<\/strong> \u2013 Focused on technological advancements rather than solving a real customer problem.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Clayton Christensen &amp; Disruptive Innovation<\/strong><\/h3>\n\n\n\n<p>The <strong>JTBD framework<\/strong> originates from the work of <strong>Clayton Christensen<\/strong>, a Harvard Business School professor and author of <em>The Innovator\u2019s Dilemma<\/em> (1997). Christensen\u2019s <strong>disruptive innovation theory<\/strong> explains how market leaders often fail by focusing on <strong>incremental improvements<\/strong> rather than solving real customer problems.<\/p>\n\n\n\n<p>Christensen and his research team discovered that <strong>customers don\u2019t buy products for their features\u2014they \u201chire\u201d them to fulfil specific jobs<\/strong>. This realization led to the <strong>Jobs-to-Be-Done<\/strong> approach, a methodology that focuses on <strong>why customers switch products rather than who they are<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How Customers \u201cHire\u201d and \u201cFire\u201d Products<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>The Core Principle of JTBD<\/strong><\/h3>\n\n\n\n<p>\ud83d\udd39 <strong>Customers don\u2019t buy products; they hire them to make progress in a given circumstance.<\/strong><br>\ud83d\udd39 <strong>If the product does the job well, they \u201chire\u201d it again. If not, they \u201cfire\u201d it and look for an alternative.<\/strong><\/p>\n\n\n\n<p>\ud83d\udca1 <strong>Example: McDonald\u2019s Milkshake Case Study<\/strong><br>Clayton Christensen\u2019s team conducted a famous <strong>JTBD study<\/strong> with <strong>McDonald\u2019s<\/strong> to understand why people bought milkshakes.<\/p>\n\n\n\n<p>\ud83d\udccc <strong>Traditional Approach:<\/strong><br>McDonald\u2019s initially focused on <strong>customer demographics and flavor preferences<\/strong>. They conducted focus groups to tweak their milkshakes\u2019 taste and consistency, yet <strong>sales remained flat<\/strong>.<\/p>\n\n\n\n<p>\ud83d\udccc <strong>JTBD Approach:<\/strong><br>Researchers discovered that <strong>most milkshake sales happened in the early morning<\/strong>. Customers weren\u2019t just buying them as a drink\u2014they were <strong>hiring milkshakes as a convenient, mess-free, long-lasting breakfast for long commutes<\/strong>.<\/p>\n\n\n\n<p>\ud83d\udccc <strong>Outcome:<\/strong><br>McDonald\u2019s <strong>redesigned milkshakes to be thicker and more filling<\/strong>, making them last longer in the morning commute\u2014<strong>sales increased significantly without changing flavours or branding<\/strong>.<\/p>\n\n\n\n<p><strong>Key Takeaway:<\/strong> Customers don\u2019t buy products based on features alone. <strong>They choose products that help them achieve a specific goal in their daily lives.<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The Three Dimensions of Customer Jobs<\/strong><\/h2>\n\n\n\n<p>To fully understand <strong>why customers hire products<\/strong>, businesses must consider <strong>three types of jobs-to-be-done:<\/strong><\/p>\n\n\n\n<p>1\ufe0f\u20e3 <strong>Functional Jobs<\/strong> \u2013 The practical reason behind a purchase.<br>\u2705 <strong>Example:<\/strong> A customer buys <strong>a waterproof jacket<\/strong> to stay dry in the rain.<\/p>\n\n\n\n<p>2\ufe0f\u20e3 <strong>Emotional Jobs<\/strong> \u2013 The feeling associated with the product.<br>\u2705 <strong>Example:<\/strong> Someone buys <strong>a premium raincoat<\/strong> to feel confident and stylish.<\/p>\n\n\n\n<p>3\ufe0f\u20e3 <strong>Social Jobs<\/strong> \u2013 How the purchase affects social perception.<br>\u2705 <strong>Example:<\/strong> A customer chooses <strong>an eco-friendly raincoat<\/strong> to appear environmentally conscious.<\/p>\n\n\n\n<p>\ud83d\udca1 <strong>Example: Tesla\u2019s JTBD Strategy<\/strong><br>Tesla doesn\u2019t just sell electric cars; it <strong>sells a vision of technological innovation and sustainability<\/strong>.<br>\u2714\ufe0f <strong>Functional Job:<\/strong> A high-performance, fuel-efficient car.<br>\u2714\ufe0f <strong>Emotional Job:<\/strong> A feeling of being a pioneer in sustainability.<br>\u2714\ufe0f <strong>Social Job:<\/strong> Status and prestige from driving an advanced vehicle.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Applying JTBD to Business Strategy<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Traditional Marketing vs. JTBD<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Traditional Marketing<\/strong><\/th><th><strong>Jobs-to-Be-Done Approach<\/strong><\/th><\/tr><\/thead><tbody><tr><td>Focuses on <strong>customer demographics<\/strong><\/td><td>Focuses on <strong>customer intent and needs<\/strong><\/td><\/tr><tr><td>Uses <strong>focus groups &amp; surveys<\/strong><\/td><td>Uses <strong>deep interviews &amp; observational research<\/strong><\/td><\/tr><tr><td>Compares product features<\/td><td>Identifies <strong>customer pain points<\/strong><\/td><\/tr><tr><td>Competes with <strong>direct market rivals<\/strong><\/td><td>Considers <strong>all competing solutions<\/strong> to the same job<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>\ud83d\udca1 <strong>Example: Netflix vs. Blockbuster<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Blockbuster (Traditional Approach)<\/strong><\/th><th><strong>Netflix (JTBD Approach)<\/strong><\/th><\/tr><\/thead><tbody><tr><td>Focused on <strong>DVD rentals and late fees<\/strong><\/td><td>Focused on <strong>removing rental inconvenience<\/strong><\/td><\/tr><tr><td>Assumed customers <strong>wanted variety<\/strong><\/td><td>Understood customers <strong>wanted instant access<\/strong><\/td><\/tr><tr><td>Competed with <strong>video rental stores<\/strong><\/td><td>Competed with <strong>cable, DVDs, and even video games<\/strong><\/td><\/tr><tr><td>Ignored the <strong>job of convenience<\/strong><\/td><td>Made entertainment <strong>on-demand &amp; frictionless<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Result:<\/strong> Blockbuster filed for bankruptcy in 2010, while Netflix became a <strong>$250B company<\/strong> by focusing on the <strong>customer\u2019s job-to-be-done<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Intersection of JTBD, AI, and Business Agility<\/strong><\/h2>\n\n\n\n<p>Businesses today are experiencing rapid shifts due to <strong>digital transformation, artificial intelligence (AI), and evolving consumer expectations<\/strong>. Yet, despite these advancements, <strong>many companies still struggle with innovation and customer engagement<\/strong>.<\/p>\n\n\n\n<p>The <strong>Jobs-to-Be-Done (JTBD) framework<\/strong>, originally pioneered by <strong>Clayton Christensen<\/strong>, provides a <strong>causal<\/strong> understanding of why customers make purchasing decisions. It helps businesses <strong>design AI-driven solutions and agile business models<\/strong> that <strong>align with real customer needs<\/strong> rather than relying on outdated market segmentation techniques.<\/p>\n\n\n\n<p>With the rise of <strong>AI-driven decision-making<\/strong> and <strong>business agility<\/strong>, companies must integrate <strong>JTBD thinking<\/strong> into their strategies to remain competitive. In this article, we\u2019ll explore:<\/p>\n\n\n\n<p>\u2705 <strong>How AI enhances JTBD analysis for better customer insights<\/strong><br>\u2705 <strong>How JTBD principles align with Business Agility<\/strong> and adaptive business models<br>\u2705 <strong>Real-world case studies where AI-driven JTBD strategies have led to success<\/strong><br>\u2705 <strong>How businesses can leverage AI-powered JTBD insights for competitive advantage<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Do Most AI-Driven Innovations Fail?<\/strong><\/h2>\n\n\n\n<p>Despite AI\u2019s potential, <strong>many AI-driven business initiatives fail<\/strong> because they <strong>lack a deep understanding of customer needs<\/strong>.<\/p>\n\n\n\n<p>\ud83d\udd39 <strong>McKinsey (2023) reports that 94% of executives<\/strong> are dissatisfied with their company\u2019s innovation performance.<br>\ud83d\udd39 <strong>Harvard Business Review (2019) states that 85% of AI-driven products fail<\/strong> due to misalignment with actual customer needs.<br>\ud83d\udd39 <strong>AI models are often trained on correlation-based data, rather than causal customer behavior insights.<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Where AI Falls Short Without JTBD Thinking<\/strong><\/h3>\n\n\n\n<p>1\ufe0f\u20e3 <strong>AI Predictive Analytics Overemphasize Correlation:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI can identify patterns (e.g., \u201cPeople who buy luxury cars also buy premium coffee\u201d).<\/li>\n\n\n\n<li>However, <strong>correlation does not explain why customers buy<\/strong> (e.g., \u201cCustomers buy luxury cars for social status, but premium coffee for sensory experience and convenience\u201d).<\/li>\n<\/ul>\n\n\n\n<p>2\ufe0f\u20e3 <strong>AI Chatbots and Virtual Assistants Lack Contextual Awareness:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Many <strong>AI chatbots fail to provide meaningful customer support<\/strong> because they <strong>don\u2019t recognize the true &#8220;job&#8221; the customer needs done<\/strong>.<\/li>\n\n\n\n<li>Instead of <strong>repeating scripted responses<\/strong>, AI systems <strong>must be trained to recognize customer struggles and emotional needs<\/strong>.<\/li>\n<\/ul>\n\n\n\n<p>3\ufe0f\u20e3 <strong>AI-Powered Marketing Misses Emotional and Social Jobs:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI-driven ad targeting focuses on <strong>demographic similarities<\/strong>, but <strong>fails to capture customers&#8217; deeper motivations<\/strong>.<\/li>\n\n\n\n<li><strong>Example:<\/strong> Recommending a fitness app based on age and gender <strong>ignores the emotional and social reasons<\/strong> behind fitness motivation (e.g., health concerns, self-esteem, community belonging).<\/li>\n<\/ul>\n\n\n\n<p>\ud83d\udccc <strong>Solution:<\/strong> AI must be <strong>paired with JTBD analysis<\/strong> to move from <strong>correlation-based prediction<\/strong> to <strong>causation-driven insights<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AI-Driven JTBD: The Future of Customer-Centric Business Strategy<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>How AI Enhances JTBD Insights<\/strong><\/h3>\n\n\n\n<p>\u2705 <strong>AI-Powered Behavioural Analytics<\/strong> \u2192 Helps businesses analyse <strong>customer struggles<\/strong> and uncover hidden Jobs-to-Be-Done.<br>\u2705 <strong>Natural Language Processing (NLP)<\/strong> \u2192 Extracts deep <strong>emotional and social motivations<\/strong> behind customer purchases.<br>\u2705 <strong>Machine Learning for Customer Segmentation<\/strong> \u2192 Moves beyond <strong>demographics<\/strong> to segment customers <strong>based on jobs and pain points<\/strong>.<br>\u2705 <strong>Conversational AI &amp; Sentiment Analysis<\/strong> \u2192 Helps companies understand <strong>why customers \u201cfire\u201d products<\/strong> and what causes dissatisfaction.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Real-World Example: AI-Powered JTBD in Action<\/strong><\/h3>\n\n\n\n<p>\ud83d\udccc <strong>Netflix&#8217;s AI-Powered Personalization (JTBD Success)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Traditional recommendation systems <strong>categorized viewers by demographics<\/strong>.<\/li>\n\n\n\n<li>Netflix <strong>shifted to a JTBD-based model<\/strong>, recognizing that:\n<ul class=\"wp-block-list\">\n<li>Some customers \u201chire\u201d Netflix to <strong>relax after work<\/strong>.<\/li>\n\n\n\n<li>Others \u201chire\u201d Netflix to <strong>bond with family<\/strong> or <strong>learn something new<\/strong>.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>AI-driven personalization<\/strong> now tailors recommendations <strong>based on viewing behaviours and inferred customer jobs.<\/strong><\/li>\n<\/ul>\n\n\n\n<p>\ud83d\udccc <strong>Spotify\u2019s AI and JTBD Strategy<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Spotify\u2019s <strong>AI doesn\u2019t just recommend music\u2014it recommends based on customer \u201cjobs.\u201d<\/strong><\/li>\n\n\n\n<li>Recognizing that <strong>music is often hired to manage emotions<\/strong>, Spotify introduced <strong>mood-based playlists and AI-curated daily mixes.<\/strong><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>AI-Powered JTBD in B2B Contexts<\/strong><\/h3>\n\n\n\n<p>\ud83d\udccc <strong>Salesforce\u2019s AI-Driven Customer Relationship Management (CRM)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI-powered Salesforce Einstein <strong>analyses customer interactions<\/strong> to determine:\n<ul class=\"wp-block-list\">\n<li>Why certain customers are at risk of churn.<\/li>\n\n\n\n<li>What \u201cjob\u201d the customer is trying to accomplish.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Instead of relying on <strong>static customer profiles<\/strong>, Salesforce uses <strong>real-time AI insights<\/strong> to adjust strategies dynamically.<\/li>\n<\/ul>\n\n\n\n<p>\ud83d\udca1 <strong>Key Insight:<\/strong> AI alone <strong>cannot replace human intuition and strategy<\/strong>\u2014but when combined with <strong>JTBD thinking<\/strong>, it becomes a <strong>powerful tool for predicting and fulfilling customer needs.<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>JTBD + AI Business Agility: Perfect Match in Digital Age<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Why Business Agility Needs JTBD Thinking<\/strong><\/h3>\n\n\n\n<p>Agile businesses thrive by <strong>adapting to customer needs<\/strong> and iterating quickly. JTBD helps agile teams by:<br>\u2714\ufe0f <strong>Clarifying customer priorities<\/strong> \u2192 Teams focus on what truly matters to customers.<br>\u2714\ufe0f <strong>Avoiding feature creep<\/strong> \u2192 Prevents businesses from adding unnecessary AI features that don\u2019t solve real jobs.<br>\u2714\ufe0f <strong>Supporting rapid prototyping<\/strong> \u2192 Businesses test whether a product <strong>actually fulfils a job<\/strong> before scaling.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Case Study: How Agile Businesses Use JTBD<\/strong><\/h3>\n\n\n\n<p>\ud83d\udccc <strong>Amazon\u2019s AI-Powered JTBD Approach<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Amazon doesn\u2019t just sell products\u2014it <strong>optimizes for different customer jobs<\/strong>.\n<ul class=\"wp-block-list\">\n<li>Prime members <strong>\u201chire\u201d Amazon for ultra-fast, convenient delivery.<\/strong><\/li>\n\n\n\n<li>Kindle users <strong>\u201chire\u201d Amazon for access to instant digital reading.<\/strong><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Amazon\u2019s AI identifies changing customer jobs<\/strong> and adapts product offerings dynamically.<\/li>\n<\/ul>\n\n\n\n<p>\ud83d\udccc <strong>Tesla\u2019s AI and JTBD Strategy<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Tesla\u2019s <strong>autonomous driving AI<\/strong> isn\u2019t just about self-driving\u2014it\u2019s about solving the job of <strong>reducing driver fatigue and increasing convenience<\/strong>.<\/li>\n\n\n\n<li>Instead of competing with <strong>traditional car brands<\/strong>, Tesla focuses on <strong>software-based agility<\/strong>, continuously updating features based on evolving customer jobs.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How Businesses Can Implement AI-Powered JTBD for Competitive Advantage<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 1: Identify Customer Jobs with AI-Powered Behavioural Data<\/strong><\/h3>\n\n\n\n<p>\ud83d\udccc <strong>Use AI-driven customer journey mapping<\/strong> to analyse how people interact with products and services.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 2: Align AI and Business Agility with JTBD Insights<\/strong><\/h3>\n\n\n\n<p>\ud83d\udccc <strong>Design agile business models<\/strong> that adapt to customer job changes dynamically.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 3: Integrate AI-Driven Personalization Based on Customer Jobs<\/strong><\/h3>\n\n\n\n<p>\ud83d\udccc <strong>Use AI-powered recommendation engines<\/strong> to match <strong>products\/services<\/strong> to real customer jobs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 4: Leverage Conversational AI &amp; Sentiment Analysis for Customer Feedback<\/strong><\/h3>\n\n\n\n<p>\ud83d\udccc <strong>Monitor AI chatbots and support interactions<\/strong> to detect <strong>customer struggles<\/strong> and pivot business strategy accordingly.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Future of JTBD, AI, and Business Agility<\/strong><\/h2>\n\n\n\n<p>\u2705 <strong>AI is a powerful tool, but it must be guided by Jobs-to-Be-Done insights.<\/strong><br>\u2705 <strong>Business agility is essential for adapting to evolving customer needs.<\/strong><br>\u2705 <strong>JTBD thinking transforms AI-driven business models from feature-driven to truly customer-centric.<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Citations &amp; References<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>CB Insights. (2023). <em>The Top Reasons Startups Fail<\/em>.<\/li>\n\n\n\n<li>Christensen, C. M., Hall, T., Dillon, K., &amp; Duncan, D. S. (2016). <em>Competing Against Luck: The Story of Innovation and Customer Choice<\/em>. Harper Business.<\/li>\n\n\n\n<li>McKinsey &amp; Company. (2023). <em>The State of Innovation in Global Business<\/em>.<\/li>\n\n\n\n<li>Harvard Business Review. (2019). <em>Why Most New Products Fail: Lessons from 40,000 Launches<\/em>.<\/li>\n\n\n\n<li>Netflix AI Personalization Case Study, MIT Technology Review (2022).<\/li>\n\n\n\n<li>Tesla AI Strategy Report, Forbes (2023).<\/li>\n\n\n\n<li>The Innovator\u2019s Dilemma. Christensen, C. (1997). Harvard Business School Press.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">JTBD PDF Explanation<\/h2>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/businessagility.education\/blog\/wp-content\/uploads\/2025\/03\/Understanding-Jobs-to-Be-Done.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Understanding-Jobs-to-Be-Done.\"><\/object><a id=\"wp-block-file--media-da996225-4dd9-4340-baee-cbdcdd2480f3\" href=\"https:\/\/businessagility.education\/blog\/wp-content\/uploads\/2025\/03\/Understanding-Jobs-to-Be-Done.pdf\">Understanding-Jobs-to-Be-Done<\/a><a href=\"https:\/\/businessagility.education\/blog\/wp-content\/uploads\/2025\/03\/Understanding-Jobs-to-Be-Done.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-da996225-4dd9-4340-baee-cbdcdd2480f3\">Download<\/a><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Photo by\u00a0<a href=\"https:\/\/unsplash.com\/@evangelineshaw?utm_content=creditCopyText&amp;utm_medium=referral&amp;utm_source=unsplash\">Evangeline Shaw<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction Businesses today collect more customer data than ever before, yet most innovations fail. According to McKinsey (2023), 94% of executives report dissatisfaction with their company\u2019s innovation performance, and Harvard Business Review (2019) notes that 85% of new consumer products fail within two years. The primary reason? Businesses focus too much on who their customers [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":535,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[140],"tags":[143,142,141],"class_list":["post-525","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-jobs-to-be-done-jtbd","tag-jobs-to-be-done","tag-jtbd","tag-jtbd-ai-agility"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Jobs-To-Be-Done (JTBD) + AI Agility - Business Agility+AI<\/title>\n<meta name=\"description\" content=\"Explanation PDF Jobs-to-Be-Done (JTBD) and AI-driven insights enhance business agility, innovation, customer-centric strategies for competitive advantage\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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