“Train-the-trainers” (TTT) is one of the most common methods used to scale up improvement & change capability across organisations, yet we often fail to set it up for success. A recent article, drawing on teacher professional development & transfer-of-training research, argues TTT should always be based on an “offer-and-use” model: OFFER: what the programme provides—facilitator expertise, session design, practice opportunities, feedback, follow-up support & evaluation. USE: what participants do with those opportunities—what they notice, how they make sense of it, how much they engage, what they learn, & whether they apply it in real work. How to design TTT that works & sticks: 1. Design for real-world use: Clarify the practical outcome - what trainers should do differently in their next sessions & what that should improve for the organisation. Plan beyond the classroom with post-course support so people can apply learning. Space learning over time rather than delivering it in one intensive block, because spacing & follow-ups support sustained use. 2. Use strong facilitators: Select facilitators who know the topic & how adults learn, how groups work & how to give useful feedback. Ensure they teach “how to make this stick at work” (apply & sustain practices), not only “how to deliver a session.” 3. Make practice central: Build the programme around realistic rehearsal: deliver, get feedback, & practise again until skills become automatic. Use participants’ real scenarios (especially change situations) to strengthen transfer. Include safe practice for difficult moments (challenge, unexpected questions) & treat mistakes as learning. Build peer learning so participants learn with & from each other, not just the facilitator. 4. Prepare participants to succeed: Assess what participants already know & can do, then tailor the learning. Build confidence to use skills at work (confidence predicts application). Help each person create a simple, specific plan for when & how they will use the approaches in their next training sessions. 5. Ensure workplace transfer support: Enable quick application (opportunities to deliver training soon after the course), plus time & resources to do it well. Provide ongoing support (feedback, coaching, & encouragement) from leaders, peers &/or the wider organisation. 6. Evaluate what matters: Go beyond satisfaction scores - assess whether trainers changed their practice & whether this improved outcomes for learners & the organisation. Use findings to improve the next iteration as a continuous improvement cycle, not a one-off event. https://lnkd.in/eJ-Xrxwm. By Prof. Dr. Susanne Wisshak & colleagues, sourced via John Whitfield MBA
Outcome-Oriented Training Approaches
Explore top LinkedIn content from expert professionals.
Summary
Outcome-oriented training approaches prioritize achieving specific, practical results by aligning learning activities and content with real-world tasks and measurable behavioral change. Instead of focusing on information delivery, these methods ensure participants gain skills they can immediately apply in their work environment.
- Define clear outcomes: Identify what participants should be able to do after the training and build your program around these practical goals.
- Prioritize real-world practice: Incorporate realistic scenarios, hands-on exercises, and opportunities for feedback so learners can rehearse and refine their skills.
- Support ongoing application: Provide follow-up support, workplace opportunities, and peer accountability to help participants apply what they've learned and track progress.
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I redesigned a failing 3-day training into 3 hours. Engagement went up 4x ... A client came to me with a problem. They'd been running a 3-day leadership programme for new managers. 24 hours of content spread across three days. Attendance was mandatory. Feedback scores were polite. Behaviour change was zero. Managers went back to their desks and did exactly what they did before. Three days of their time. Thousands in delivery costs. Nothing to show for it. They asked me to "make it more engaging." I told them engagement wasn't the problem. The design was. Here's what was wrong: → 18 hours of slides and lectures → 4 hours of group discussion → 2 hours of "reflection activities" → Zero tangible output anyone could use on Monday The participants weren't disengaged because the content was bad. They were disengaged because they weren't doing anything. They were sitting. Listening. Watching slides. For three days. Here's what I did: I scrapped the entire programme and rebuilt it as a single 3-hour workshop using three rules: Rule 1: One outcome per hour. Hour 1 outcome: Each manager writes their personal leadership approach in 3 sentences. Not a theory. Their approach to use with their team. Hour 2 outcome: Each manager builds a 30-day action plan for one real challenge they're currently facing. Hour 3 outcome: Managers pair up as accountability partners, present their plans, and set a 14-day check-in. Rule 2: I talk for less than 10 minutes total. I gave a 3-minute intro explaining the outcomes. A 2-minute framework before each working session. That's it. The other 2 hours and 50 minutes? They worked. They wrote. They debated. They built. Rule 3: Everything created in the room gets used outside the room. No Post-it notes that go in the bin. Every output was typed into a shared doc. Every accountability pair had a calendar invite before they left. The results: → Feedback scores went from 6.2 to 9.1 → 89% of managers completed their 14-day check-in → Their managers reported visible behaviour change within a month 3 hours instead of 3 days. Less content. More output. Less talking. More doing. The client's first reaction: "But how can 3 hours replace 3 days?" It didn't replace it. It removed the 21 hours that weren't doing anything. Most programmes fail because facilitators confuse coverage with impact. They think more content means more learning. It doesn't. More doing means more learning. If your workshop has more hours of input than output, you don't need to make it more engaging. You need to make it shorter. ___ Save this for later (three dots, top right). Share with friends → ♻️ Repost. Get consultant-grade workshops every Sat → https://lnkd.in/eSfeUapJ
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🔴 Knowledge isn’t the goal — performance is. If training doesn’t change what learners do, it’s useless information. To design learning that drives real behavioral change, focus on performance-based outcomes. Here’s how: 1️⃣ Define the desired behavior. Before you create content, ask: "What should learners be able to DO after this training?" ✅ Instead of “Understand conflict resolution” → “De-escalate workplace conflicts using a 3-step framework.” ✅ Instead of “Know safety procedures” → “Complete a safety check before each shift without missing a step.” 2️⃣ Align content to real-world tasks. Cut anything that doesn’t directly impact performance. ✅ Teach skills, not just concepts. ✅ Show learners how to apply the information. ✅ Use realistic examples, not just definitions. 3️⃣ Make practice the priority. If learners only consume content passively, they won’t be ready to act. ✅ Use scenario-based activities. ✅ Have them make decisions and see consequences. ✅ Design realistic practice opportunities. Example: Instead of listing customer service principles, let learners handle a simulated customer complaint -- and refine their approach. 4️⃣ Measure success by actions, not completion. ✅ Set clear, observable performance goals. ✅ Assess what learners can do, not just what they remember. ✅ Provide feedback that helps them improve. Learning should change behavior, not just transfer knowledge. 🤔 How do you design training with performance in mind? ----------------------- 👋 Hi! I'm Elizabeth! ♻️ Share this post if you found it helpful. 👆 Follow me for more tips! 🤝 Reach out if you need a high-quality learning solution designed to engage learners and drive real change. #InstructionalDesign #PerformanceBasedLearning #BehavioralChange #LearningAndDevelopment
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Most training programs create excitement. Very few create measurable business impact. A few months ago, I worked with an organization that had a very specific challenge. Their frontline teams were attending workshops, feeling motivated, taking notes but when it came to actual performance on the field, their sales conversion was very low. Great energy. Poor execution. Something was missing. So before designing the learning intervention, I asked one simple question: “What’s the real context in which your people operate daily?” Not the role. Not the job description. Not the competencies. The context. What pressures do they face? What conversations are toughest? Where do deals collapse? Who influences decisions? What behaviours matter most on the ground? The organization opened up. We mapped real scenarios. We shadowed calls. We watched interactions. We decoded customer psychology. We understood the reality behind the numbers. Only then did we build the training journey. Not generic content. Not textbook concepts. Not motivational theory. But a program designed exactly around their on-ground realities. The impact. Over the next eight weeks, something changed. Sales conversations became sharper. Objections were handled with more confidence. Teams spoke value, not price. Managers reinforced learning consistently. The conversion saw a huge jump and this was created not by more training, but by the right training. The lesson is simple: Content informs. Context transforms. Workshops don’t create results. Relevance does. When learning mirrors the real world, people don’t just listen they apply. When they apply, organizations grow. What’s one area in your team where you feel content is high but context is missing? If your organization wants training that delivers real, measurable outcomes let’s talk.
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Many people believe live trainings work better simply because people can talk to each other face‑to‑face, but that’s not the real reason. In reality, their effectiveness comes from something else entirely, they naturally follow a powerful learning rhythm. Great offline trainings follow one simple logic: action → reflection → understanding → application. This is Kolb’s Cycle. And it’s incredibly powerful. The problem? It was almost impossible to implement it in online learning. That’s why 90% of online courses look like “interactive lectures”: nice slides, videos, quizzes. But that’s content consumption, not transformation. And now - the unexpected twist. For the first time, online learning has caught up with offline experiences. Because AI removed the main barrier: it finally allows learners to get experience, reflection, and practice in a personalized way. Here’s how Kolb’s Cycle looks in modern learning design: 1️⃣ Concrete Experience — action Essence: the learner must do something, live through a situation, face a task — ideally experiencing difficulty or making a mistake that shows their current model doesn’t work. How online: role-based dialogue, scenario simulation. 2️⃣ Reflective Observation — reflection Essence: pause and think — what happened, what actions were taken, and why the result turned out this way. How online: interactive reflection prompts; AI coach provides feedback based on performance and the learner’s own reflections. 3️⃣ Abstract Conceptualisation — understanding Essence: form a new behavioural model — concepts, principles, algorithms that explain how to act more effectively. How online: short video lecture, model breakdown, interactive frameworks, checklists, interactive infographics. 4️⃣ Active Experimentation — application Essence: try the new model in a safe environment and observe the result. How online: AI-based simulation, situational exercise, case-solving with the new approach; AI coach supports and adjusts. The outcome? Online learning stops being “content” and becomes a behaviour tracker. A course becomes a training simulator, not a film. Kolb’s Cycle finally becomes real in digital learning. Do you use this framework? What results have you seen?
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𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘀𝘁𝘆𝗹𝗲𝘀 𝗮𝗿𝗲𝗻’𝘁 𝘁𝗵𝗲 𝗮𝗻𝘀𝘄𝗲𝗿 — 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗶𝘀. I recently read Using Learning Science Strategies to Enhance Teaching Practices and Empower Adult Learners, and it reinforces a critical gap I see inside organizations every day: 𝗪𝗲 𝗱𝗲𝘀𝗶𝗴𝗻 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗼𝗻 — 𝗻𝗼𝘁 𝗳𝗼𝗿 𝗿𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻, 𝗿𝗲𝗰𝗮𝗹𝗹, 𝗼𝗿 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲. This paper challenges persistent 𝗻𝗲𝘂𝗿𝗼𝗺𝘆𝘁𝗵𝘀 (like learning styles) and highlights 𝘀𝗶𝘅 𝗲𝘃𝗶𝗱𝗲𝗻𝗰𝗲-𝗯𝗮𝘀𝗲𝗱 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 that actually improve how adults learn: 🔹 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 🔹𝗦𝗽𝗮𝗰𝗲𝗱 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 🔹 𝗜𝗻𝘁𝗲𝗿𝗹𝗲𝗮𝘃𝗶𝗻𝗴 🔹 𝗘𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 🔹 𝗗𝘂𝗮𝗹 𝗖𝗼𝗱𝗶𝗻𝗴 🔹 𝗖𝗼𝗻𝗰𝗿𝗲𝘁𝗲 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀 𝗪𝗵𝘆 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝘀𝗵𝗼𝘂𝗹𝗱 𝗰𝗮𝗿𝗲: • Training dollars are wasted when learning doesn’t transfer • Poor retention increases errors, rework, and safety risk • Cognitive overload slows time-to-competency • Employees lose confidence when they “should know this” but can’t recall it 𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝗲𝗿𝗲 𝗜/𝗢 𝗣𝘀𝘆𝗰𝗵𝗼𝗹𝗼𝗴𝘆 𝗰𝗼𝗺𝗲𝘀 𝗶𝗻. I/O Psychology helps organizations: • Design training around how people actually learn and perform • Align learning to job demands, risk points, and performance outcomes • Replace myths with data-backed instructional strategies • Build learner confidence, self-efficacy, and readiness to perform When learners understand how learning works, recall improves, stress decreases, and performance follows. If we want training that sticks, we have to stop designing for preference and start designing for 𝗵𝗼𝘄 𝘁𝗵𝗲 𝗯𝗿𝗮𝗶𝗻 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗹𝗲𝗮𝗿𝗻𝘀. Source: Rehak, K. M., & McGinty, J. M. (2023). Using learning science strategies to enhance teaching practices and empower adult learners. Adult Learning. #WorkplaceEngineer #IOPsychology #TrainingAndDevelopment #LearningThatSticks #ManufacturingExcellence #HumanCenteredDesign
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A blend is usually best. My approach to designing class sessions centers on designing for the learning, not the learner. Though this may be an unpopular instructional philosophy, I find it yields strong, lasting gains. Of course, learners must have adequate prior knowledge, which you can ensure through thoughtful placement and pre-training. This approach combines direct instruction with emotional, cognitive, and reinforcement strategies to maximize learning and retention. Each phase—from preparation to reinforcement—uses proven methods that reduce anxiety, build confidence, and sustain motivation while grounding knowledge in ways that lead to deeper understanding and real-world application. Direct instruction methods (such as Rosenshine and Gagné) offer a structured framework to capture attention, clarify objectives, and reduce initial anxiety. Emotional engagement—connecting material on a personal level—makes learning memorable and supports long-term retention. Reinforcement strategies like spaced repetition, interleaving, and retrieval practice transform new information into long-term memory. These methods help learners revisit and reinforce what they know, making retention easier and confidence stronger, with automaticity as the ultimate goal. Grounding learning in multiple contexts enhances recall and transfer. Teaching concepts across varied situations allows learners to apply knowledge beyond the classroom. Using multimedia principles also reduces cognitive load, supporting efficient encoding and schema-building for faster recall. Active engagement remains critical to meaningful learning. Learners need to “do” something significant with the information provided. Starting with concrete tasks and moving to abstract concepts strengthens understanding. Progressing from simple questions to complex, experience-rooted problems allows learners to apply their knowledge creatively. Reflection provides crucial insights. Requiring reflection in multiple forms—whether writing, discussion, or visual work—deepens understanding and broadens perspectives. Feedback, feedforward, and feedback cycles offer constructive guidance, equipping learners for future challenges and connecting immediate understanding with long-term growth. As learners build skills, gradually reduce guidance to foster independence. When ready, they practice in more unpredictable or “chaotic” scenarios, which strengthens their ability to apply knowledge under pressure. Controlled chaos builds resilience and adaptability—then we can apply more discovery-based methods. Apply: ✅Direct instruction ✅Emotional engagement ✅Reinforcement strategies ✅Multiple contexts ✅Multimedia learning principles ✅Active, meaningful tasks ✅Reflection in varied forms ✅Concrete-to-abstract ✅Questions-to-Problems ✅Feedback cycles ✅Decreasing guidance ✅Practice in chaos ✅Discovery-based methods (advanced learners) Hope this is helpful :) #instructionaldesign #teachingandlearning
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Why do 92% of online courses fail to help people learn? 🎯 They are missing these three elements. (Course creation 101) Over the past 10 years, I've transformed dozens of courses from mediocre to magnificent. Here are the 3 proven techniques I use every time: 1: Outcome Focus How it works: → Define a clear destination for your students → Map out the transformation journey → Build content that drives toward that goal Most courses put content first. This simple technique ensures you put your students' needs first. 2: Minimum Required Information (MRI) How it works: → List essential knowledge points → Eliminate unnecessary content → Prevent cognitive overload Too many courses overload participants with information. This approach streamlines your program, making it easier to implement. 3: Step-by-Step Process How it works: → Break down complex concepts → Create detailed action steps → Refine until students succeed Don't make them figure out HOW to do something. Giving steps transforms theory into practical results. Whether you're creating an online course, workshop, or coaching program, these principles will help your students achieve remarkable results. Want to learn more about creating successful courses? Click "visit my newsletter" just under my name.
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