{"id":816,"date":"2026-09-03T09:22:41","date_gmt":"2026-09-03T07:22:41","guid":{"rendered":"https:\/\/talkrank.app\/?p=816"},"modified":"2026-09-03T09:56:07","modified_gmt":"2026-09-03T07:56:07","slug":"ak-google-cloud-wykorzystalo-ai-role-play-do-certyfikacji-pitchu-analiza-publicznego-case-study-yoodli","status":"publish","type":"post","link":"https:\/\/talkrank.app\/en\/ak-google-cloud-wykorzystalo-ai-role-play-do-certyfikacji-pitchu-analiza-publicznego-case-study-yoodli\/","title":{"rendered":"How Google Cloud Used AI Roleplay for Pitch Certification: A Public Case Study by Yoodli"},"content":{"rendered":"<article class=\"talkrank-article\">\n\n  <h2>How Google Cloud Used AI Roleplay for Pitch Certification: A Public Case Study by Yoodli<\/h2>\n\n  <div class=\"info-box\" style=\"border:1px solid #cfe3ff; background:#f3f8ff; padding:18px 20px; border-radius:12px; margin:24px 0;\">\n    <p style=\"margin:0;\">\n      This article discusses a publicly available case study published by Yoodli, using Yoodli AI on Google Cloud. The case study described is not a Talkrank implementation. We analyze it as an example of AI roleplay in training, certification, and employee development.\n    <\/p>\n  <\/div>\n\n  <p>\n    AI roleplay is increasingly emerging not as a technological curiosity, but as a tangible tool for employee training. Especially where companies want to not only impart knowledge but also test whether people can use it in conversation.\n  <\/p>\n\n  <p>\n    A good example is Yoodli&#039;s public case study describing a Google Cloud implementation. According to Yoodli&#039;s material, the Google Cloud Go-To-Market team had to implement a new strategy and certify over 15,000 employees with a new pitch for Google Cloud services. The entire process was to be completed within one month.\n  <\/p>\n\n  <p>\n    This is a scale at which traditional approaches quickly become problematic. You can organize instructor-led training. You can ask managers to conduct role plays. You can manually evaluate recordings and statements. However, with tens of thousands of participants, this means a huge investment of time, a large number of assessments to be performed, and the risk that each participant will practice slightly differently.\n  <\/p>\n\n  <p>\n    That&#039;s why this example is interesting not only for large corporations. It highlights a problem that also arises in smaller companies, just on a different scale: how to ensure that people not only understand a new narrative but are actually able to express it in their own words in a conversation with a client.\n  <\/p>\n\n  <hr>\n\n  <h2>What was the Google Cloud problem?<\/h2>\n\n  <p>\n    According to Yoodli&#039;s case study, Google Cloud needed a fast and consistent implementation of its new GTM strategy. This wasn&#039;t just about delivering presentations or training materials. Employees needed to be able to present the new service pitch in a way that aligned with the desired narrative.\n  <\/p>\n\n  <p>\n    This is a crucial difference. You can read a document, watch a training session, and still not know how to conduct a conversation effectively. A sales pitch doesn&#039;t exist on a slide. It only works when a person can use it in a conversation with another person, answer questions, address objections, and maintain a coherent message.\n  <\/p>\n\n  <p>\n    At this scale, Google Cloud had to solve several problems at once:\n  <\/p>\n\n  <ul>\n    <li>how to give many people the opportunity to practice,<\/li>\n    <li>how to check if participants are using the right talking points,<\/li>\n    <li>how to ensure consistency of certification,<\/li>\n    <li>how to reduce the time needed for manual grading,<\/li>\n    <li>how to enable repetition of exercises without the constant involvement of managers and trainers.<\/li>\n  <\/ul>\n\n  <p>\n    These are very practical challenges. In many companies, training ends with a material review, a webinar, or a knowledge test. Here, the problem was different: the employee had to practice a specific conversation and be assessed based on how they handled the pitch.\n  <\/p>\n\n  <hr>\n\n  <h2>What role did Yoodli AI play?<\/h2>\n\n  <p>\n    According to Yoodli&#039;s description, Google Cloud used Yoodli AI sales coach to create a dedicated pitch certification program. The program was tailored to the Google Cloud method, rather than based solely on a generic sales scenario.\n  <\/p>\n\n  <p>\n    As part of the implementation, the enablement and L&amp;D team was able to prepare Google Cloud-specific scenarios, add contextual objections, set custom evaluation rubrics, and define the most important points that participants should address in their presentations.\n  <\/p>\n\n  <p>\n    This is one of the most important elements of the entire example. The AI roleplay wasn&#039;t just a &quot;conversation with a bot.&quot; It was part of a specific process: the employee was tasked with practicing a specific pitch, addressing objections, and receiving feedback based on pre-established criteria.\n  <\/p>\n\n  <div class=\"highlight-box\" style=\"border:1px solid #ffd7ad; background:#fff7ed; padding:18px 20px; border-radius:12px; margin:24px 0;\">\n    <p style=\"margin:0;\">\n      The value of AI roleplay isn&#039;t just about an employee interacting with an AI. The greatest value comes when the simulation is embedded in a specific scenario, has a clear goal, and concludes with practical feedback.\n    <\/p>\n  <\/div>\n\n  <hr>\n\n  <h2>What was the participant process like?<\/h2>\n\n  <p>\n    According to the Yoodli case study, participants accessed Yoodli through the Intellum LMS. They then practiced their pitch with an AI sales coach, responded to contextual objections, and received a coaching report.\n  <\/p>\n\n  <p>\n    Such a report included information on, among other things, which points of the conversation were raised, how the participant dealt with objections, and how communication elements such as presence in the conversation, pace of speech, and listening were performed.\n  <\/p>\n\n  <p>\n    The repetition element is also interesting. Participants had unlimited access to Yoodla, so they could practice multiple times. This changes the nature of the training. Instead of a single attempt in front of a trainer or manager, the employee can return to the exercise, improve their presentation, and build greater confidence before the actual certification.\n  <\/p>\n\n  <p>\n    The case study also highlights the aspect of human feedback. Some users shared their presentations with colleagues to receive additional feedback. This is an important signal, as AI doesn&#039;t have to replace humans throughout the entire process. It can take over the first layer of training and analysis, and humans can step in where deeper conversation, coaching, or decision-making is needed.\n  <\/p>\n\n  <hr>\n\n  <h2>What effects are described in the case study?<\/h2>\n\n  <p>\n    Yoodli&#039;s public materials provided some specific results. The program was expected to achieve a 92% CSAT with a goal of 90%. The program&#039;s completion rate was expected to be 20% higher than the average for Google Cloud training.\n  <\/p>\n\n  <p>\n    The most interesting result, however, is another one. According to the case study, the number of key GCPs addressed by participants increased by over 100% between the first and last Yoodli practice session.\n  <\/p>\n\n  <p>\n    This demonstrates a very practical impact. It&#039;s not just that participants enjoyed the training. More importantly, they began to address more of the points the company deemed important in the new pitch.\n  <\/p>\n\n  <p>\n    Yoodli also reports that 77% power users shared their posts with colleagues to receive feedback from humans. This suggests that AI roleplay can not only automate parts of training but also support learning among employees.\n  <\/p>\n\n  <table style=\"width:100%; border-collapse:collapse; margin:24px 0;\">\n    <thead>\n      <tr>\n        <th style=\"border:1px solid #ddd; padding:12px; text-align:left;\">Area<\/th>\n        <th style=\"border:1px solid #ddd; padding:12px; text-align:left;\">The result described in the Yoodli case study<\/th>\n        <th style=\"border:1px solid #ddd; padding:12px; text-align:left;\">What could this mean for companies?<\/th>\n      <\/tr>\n    <\/thead>\n    <tbody>\n      <tr>\n        <td style=\"border:1px solid #ddd; padding:12px;\">Participant satisfaction<\/td>\n        <td style=\"border:1px solid #ddd; padding:12px;\">92% CSAT at target 90%.<\/td>\n        <td style=\"border:1px solid #ddd; padding:12px;\">AI role play can be experienced as a practical and engaging form of training if implemented well.<\/td>\n      <\/tr>\n      <tr>\n        <td style=\"border:1px solid #ddd; padding:12px;\">Completion of the program<\/td>\n        <td style=\"border:1px solid #ddd; padding:12px;\">Completion rate 20% higher than the Google Cloud training average.<\/td>\n        <td style=\"border:1px solid #ddd; padding:12px;\">The ability to practice at any time may increase the chance that participants will actually complete the program.<\/td>\n      <\/tr>\n      <tr>\n        <td style=\"border:1px solid #ddd; padding:12px;\">Pitch quality<\/td>\n        <td style=\"border:1px solid #ddd; padding:12px;\">Over 100% increase in GCP hits between first and last session.<\/td>\n        <td style=\"border:1px solid #ddd; padding:12px;\">Regular feedback exercises can help employees better remember and use the right narrative.<\/td>\n      <\/tr>\n      <tr>\n        <td style=\"border:1px solid #ddd; padding:12px;\">Feedback from people<\/td>\n        <td style=\"border:1px solid #ddd; padding:12px;\">77% power users shared their statements with colleagues.<\/td>\n        <td style=\"border:1px solid #ddd; padding:12px;\">AI can support, not replace, human feedback and collaborative learning.<\/td>\n      <\/tr>\n    <\/tbody>\n  <\/table>\n\n  <hr>\n\n  <h2>Why is this example important?<\/h2>\n\n  <p>\n    The Google Cloud case study is interesting because it demonstrates AI roleplay in a very specific application. This wasn&#039;t a general &quot;communications training&quot; exercise. The goal was to implement a new pitch, test its application, and certify a large group of employees.\n  <\/p>\n\n  <p>\n    This clearly demonstrates where AI roleplay makes the most sense. Not where all you have to do is read the instructions. Not where you just have to click on an ABC test. The greatest value comes in situations where the employee must speak, react, defend an argument, respond to an objection, and do so in accordance with company standards.\n  <\/p>\n\n  <p>\n    That&#039;s why a similar mechanism is worth considering not only for global organizations. A smaller company might face the exact same problem, only involving fewer people. For example:\n  <\/p>\n\n  <ul>\n    <li>salespeople have to learn new sales arguments,<\/li>\n    <li>customer service should respond better to complaints,<\/li>\n    <li>managers should practice feedback conversations,<\/li>\n    <li>new employees are to undergo onboarding and an interview to check their knowledge of procedures,<\/li>\n    <li>the team is to prepare for discussions about a new offer, a price list change or the implementation of a new process.<\/li>\n  <\/ul>\n\n  <p>\n    In each of these cases, the question is similar: whether the employee can apply the knowledge in a conversation, and not just repeat it.\n  <\/p>\n\n  <hr>\n\n  <h2>What does this mean for sales training?<\/h2>\n\n  <p>\n    Sales training often focuses on process, techniques, and reasoning. This is necessary, but only the conversation reveals whether a salesperson can capitalize on it.\n  <\/p>\n\n  <p>\n    An employee might know a new pitch but miss the most important points. They might understand the value of a product but be too general about it. They might know how to respond to an objection but in practice start with a defense or a discount.\n  <\/p>\n\n  <p>\n    AI roleplay allows us to detect these things earlier. Instead of waiting for a real conversation with a customer, a company can create a scenario and see how an employee performs in a safe environment.\n  <\/p>\n\n  <p>\n    This doesn&#039;t replace the entire work of a sales manager. However, it can reduce the burden on repetitive training elements. The manager doesn&#039;t need to be present for every rehearsal. They can come in later, review the results, review feedback, and focus on individuals or areas that truly need support.\n  <\/p>\n\n  <hr>\n\n  <h2>What does this mean for onboarding?<\/h2>\n\n  <p>\n    The Yoodli description mentions that following the program&#039;s success, Google Cloud also began using Yoodli in other enablement programs, including onboarding, presentation preparation, and manager training.\n  <\/p>\n\n  <p>\n    This is a natural progression. Onboarding often ends with knowledge transfer: presentations, documentation, lessons, and tests. The problem is that new employees must quickly begin communicating with clients, the team, and their superiors.\n  <\/p>\n\n  <p>\n    A mock interview can help ensure a new hire understands not only the procedure but also its practical application. They can practice speaking with a customer, asking about a quote, responding to a problem, or explaining how a service works.\n  <\/p>\n\n  <p>\n    This makes onboarding less theoretical. The employee not only completes a module but also demonstrates their ability to apply their knowledge in a conversation.\n  <\/p>\n\n  <hr>\n\n  <h2>What does this mean for smaller companies?<\/h2>\n\n  <p>\n    It&#039;s easy to assume that the Google Cloud case study applies only to large organizations. The scale is indeed large. Over 15,000 people, a global team, pitch certification, and LMS implementation are considered enterprise-level.\n  <\/p>\n\n  <p>\n    But the problem itself isn&#039;t limited to corporations. Smaller companies are also implementing new offerings, changing sales methods, training people to handle complaints, onboarding employees, and trying to standardize customer communication.\n  <\/p>\n\n  <p>\n    The difference is that a smaller company doesn&#039;t have to start with a large certification program. They can start with a single scenario:\n  <\/p>\n\n  <ul>\n    <li>conversation with a customer who thinks the price is too high,<\/li>\n    <li>complaint after delayed implementation,<\/li>\n    <li>interview with a candidate for a sales position,<\/li>\n    <li>feedback for an employee who does not implement the arrangements,<\/li>\n    <li>checking whether the new person knows the customer service procedure.<\/li>\n  <\/ul>\n\n  <p>\n    A single scenario like this can provide a company with more information than a general knowledge test. It shows how an employee talks, how they react, and where they need further training.\n  <\/p>\n\n  <hr>\n\n  <h2>How can a similar approach be used at Talkrank?<\/h2>\n\n  <p>\n    Talkrank is developing the same category of applications: AI-powered simulation interviews, hands-on training, and scenario-based competency assessments. The difference is that companies can create any scenario, describe the interview context, and choose their own assessment criteria.\n  <\/p>\n\n  <p>\n    The example of Google Cloud demonstrates the wisdom of this approach on a large scale. Talkrank allows you to apply similar logic to your company&#039;s daily work: first, determine what conversations an employee should be able to conduct, then give them the opportunity to practice with AI, and finally evaluate the results according to clear criteria.\n  <\/p>\n\n  <p>\n    It could be a sales pitch, a customer objection, a complaint conversation, onboarding, recruitment, or a difficult managerial conversation. The goal is the same in each case: not only to impart knowledge, but also to test whether the person can apply it in practice.\n  <\/p>\n\n  <p>\n    In Talkrank, the administrator can create scenarios, select a conversation mode, use text, voice, or video, and set evaluation criteria tailored to the specific situation. This makes the simulation not a general exercise, but a practical test of competencies.\n  <\/p>\n\n  <hr>\n\n  <h2>The most important conclusion from the Google Cloud case study<\/h2>\n\n  <p>\n    The key takeaway isn&#039;t &quot;every company should copy Google Cloud&#039;s implementation.&quot; That would be unrealistic. Most companies don&#039;t have that scale, that L&amp;D infrastructure, or that enablement process.\n  <\/p>\n\n  <p>\n    A better conclusion is simpler: if a company wants to change the way employees talk to customers, training material alone may not be enough. People need practice, repetition, and feedback. AI roleplay offers the opportunity to practice this in a more accessible and repeatable way than manual roleplays with a manager or trainer.\n  <\/p>\n\n  <p>\n    This applies to organizations large and small. The scale may vary, but the mechanism is similar: scenario, conversation, feedback, improvement, and then try again.\n  <\/p>\n\n  <hr>\n\n  <h2>FAQ \u2013 Google Cloud, Yoodli and AI role play in training<\/h2>\n\n  <h3>Did Google Cloud use Talkrank?<\/h3>\n  <p>\n    No. This example comes from a public Yoodli case study and concerns the use of Yoodli AI in Google Cloud. The article discusses this case as an example of AI roleplay in employee training and certification.\n  <\/p>\n\n  <h3>What did Google Cloud use Yoodli AI for?<\/h3>\n  <p>\n    According to a Yoodli case study, Google Cloud used Yoodli AI to implement and certify a new GTM pitch for over 15,000 employees in one month.\n  <\/p>\n\n  <h3>What results are described in the case study?<\/h3>\n  <p>\n    Yoodli reports, among other things, a 92% CSAT, a completion rate 20% higher than the Google Cloud training average, and over a 100% increase in the number of GCPs hit between the first and last practice session.\n  <\/p>\n\n  <h3>Why can AI role play be useful in sales training?<\/h3>\n  <p>\n    Because it allows for practice in real conversations, not just memorization. Employees can practice pitches, address objections, and receive feedback before speaking with a real client.\n  <\/p>\n\n  <h3>Does AI role play replace a manager or coach?<\/h3>\n  <p>\n    It doesn&#039;t have to replace human resources. It can take over some of the repetitive training and the first layer of feedback. A manager or trainer can still analyze key cases and support employees where human judgment is needed.\n  <\/p>\n\n  <h3>Does a similar approach make sense for smaller companies?<\/h3>\n  <p>\n    Yes, but on a smaller scale. A company doesn&#039;t need to certify thousands of people at once. They can start with a single scenario, such as a price objection, complaint, onboarding, or feedback conversation.\n  <\/p>\n\n  <hr>\n\n  <h2>Summary<\/h2>\n\n  <p>\n    Yoodli&#039;s public case study on Google Cloud demonstrates how AI roleplay can support large-scale training programs, pitch certification, and conversational skills development at an organizational scale. The key here isn&#039;t the sheer numbers, but the process: participants could practice, address objections, receive feedback, and improve their speech.\n  <\/p>\n\n  <p>\n    For companies, this represents a significant shift in thinking about training. The knowledge imparted during training is just the beginning. If employees want to improve their communication skills with clients, candidates, or team members, they need practice in real-world situations.\n  <\/p>\n\n  <p>\n    Talkrank allows you to apply a similar approach in practice: create your own interview scenario, choose evaluation criteria, and test how the employee performs in an AI simulation. You don&#039;t have to start with a large enterprise program. Sometimes, one well-prepared scenario is enough to see where the team really needs training.\n  <\/p>\n\n  <p style=\"font-size:14px; color:#666; margin-top:28px;\">\n    Source of this example: public case study published by Yoodli: &quot;How Google Cloud used Yoodli AI to rollout new GTM pitch certification to 15,000+ employees (with 92% CSAT).&quot; Talkrank is not affiliated with Yoodli or Google Cloud. The names Yoodli and Google Cloud are used solely for the purpose of discussing a publicly available AI roleplay example.\n  <\/p>\n\n<\/article>\n\n\n\n<div class=\"talkrank-cta-block\">\n  <div class=\"talkrank-cta-inner\">\n    <div class=\"talkrank-cta-label\">Talkrank<\/div>\n    <h3 class=\"talkrank-cta-heading\">Increase employee competencies in simulation interviews with AI<\/h3>\n    <p class=\"talkrank-cta-desc\">\n      Create realistic interview scenarios for your team. Talkrank runs the simulation, evaluates responses, and prepares a final report. This makes it easier to identify employee strengths and areas that require further training.\n      \n    <\/p>\n    <a href=\"https:\/\/app.talkrank.app\/register-organization\" class=\"talkrank-cta-btn\">\n      Try it for free\n    <\/a>\n  <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Jak Google Cloud wykorzysta\u0142o AI role play do certyfikacji pitchu? Analiza publicznego case study Yoodli Ten artyku\u0142 omawia publicznie dost\u0119pne case study opublikowane przez Yoodli, dotycz\u0105ce wykorzystania Yoodli AI w Google Cloud. Opisany przyk\u0142ad nie jest wdro\u017ceniem Talkrank. Analizujemy go jako przyk\u0142ad zastosowania kategorii AI role play w szkoleniach, certyfikacji i rozwoju pracownik\u00f3w. AI role [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-816","post","type-post","status-publish","format-standard","hentry","category-szkolenia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Jak Google Cloud wykorzysta\u0142o AI role play do certyfikacji pitchu? 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