Mobile learning: the solution for revolutionizing the learning landscape

Context is everything. When you’re swimming in the ocean and see a fin sticking out of the water, your brain concludes: "It's a shark, get out of the water!" But if you're in a pool, you think: "It's a kid with a swim toy that looks like a shark fin." In both situations, the context leads you to reach two very different conclusions and behavioral responses.

How people behave in any given situation is a function of both who they are as individuals (e.g., their personality, skills, past experiences) and the context in which the behavior takes place (e.g., the situation itself). In other words, context matters, and it is difficult to interpret an individual’s behavior without an understanding of the context they faced.

When it comes to using assessments during the hiring process, organizations have a vested interest in making certain that these assessments reflect the organization and job – the context. Doing so helps jumpstart onboarding by ensuring that candidates' assumptions about the organization, the job, and their suitability for both – that they invariably make during the recruiting process – are rooted in reality.

But assessments modeled after the organization and job are superior for another reason: They are generally stronger than generic assessments that cut across job type, level, organization, industry, etc.

1. More predictive. First and foremost, the closer the alignment between the assessment and the specific context in which the individual will ultimately perform (i.e., the job at the organization), the better the assessment will do in predicting future job performance. In fact, research demonstrates that highly contextualized assessments have incremental predictive validity beyond situational judgment and job knowledge assessments. This means that even after measuring candidates' job-relevant knowledge and how they would handle particular situations, highly contextualized assessments still reveal candidates' ability to perform the job that we don’t otherwise know from these other tools.

Why is this true? Because the best predictor of future behavior is past performance. For many years, this adage has been dubbed "the Golden Rule of selection." Think about it: What's the best way to predict whether an individual will be a good salesperson at your organization in the future? Answer: Observe them in the job of salesperson at your organization. The only problem in the pre-employment context, however, is that you cannot observe a candidate perform a job they do not have… Or can you?

Assessments designed to reflect the realities of an organization and job often take the form of a simulation – sometimes completely automated; other times involving role plays conducted by trained assessors. In essence, these assessments let candidates "try the job on for size" – explore the situations and challenges faced, engage in dealing with the situations, etc. Such work samples provide the opportunity to, in essence, perform a job that candidates do not yet have, thus enabling conclusions about how they would perform the job if hired.

2. Less adverse impact. Not only are highly contextualized assessments, such as simulations, highly predictive of future job success, but they also have lower risk of adverse impact. In fact, a seminal meta-analytic research study – looking across many years of other research studies – found that simulations comprising role-plays or presentations have about 50 percent less risk of adverse impact (i.e., sub-group differences) compared to other assessment tools. This decreased risk of adverse impact translates into a more diverse group of candidates deemed qualified for the job, ultimately leading to a more diverse workforce.
3. Higher face validity. Finally, because highly contextualized assessments look like the job, candidates see the relevance of these assessments for the job to which they've applied. Candidates understand why you are asking them to perform some task or answer particular questions because the assessments make sense in their minds given what they know about the job. This is known as face validity, which highly benefits the organization. This underlying concept can decrease the risk of candidates challenging the results of an assessment, improve perceptions and impressions of the employing organization, and increase job offers acceptance rates.

All three areas of highly contextualized assessments are paramount on their own, and together highlight the importance of tailoring pre-employment assessments to the organization and job. They serve the dual purpose of teaching candidates about the job, while also assessing their capabilities and alignment with the organization's needs.

The employment decision is important for both the candidate and the employer, and it benefits both parties to ensure that candidates are assessed in an accurate and authentic manner to make the best, most informed decisions possible.

How do you more effectively drive learner engagement and concept retention in your digital learning courses? Sound is key. Why? Sound elicits emotional responses which make moments more memorable, and also shapes your unique sense of space, time, and reality. Adding a layer of sound would amplify presentations of any kind.There are three elements to consider when incorporating sound into digital learning courses: sound effects, voice talent, and transitions.

1. Engaging sound effectsPractitioners of mindfulness meditation focus on the present moment in order to reach a particular mental state. The present moment is always changing, of course, depending on the surrounding constellation of smells, sounds, sights, and feelings. Try to isolate the ambient sounds in the air, and you will come to appreciate both the limits of your focus and the omnipresence of sound. Note, too, how memories involving both sight and sound are more vivid than those derived from just one sensory channel.Sound effects can perform numerous functions: emphasize a particular point, underscore a key concept, balance serious content with humor, and more. Try, for instance, to imagine films such as Star Wars, Titanic, or The Godfather without their orchestral scores and soundtracks. Just as sound effects are critical to each story on an emotional level, they can make the digital learning experience more meaningful and memorable.Consider using ambient sounds that are colloquial to your learners, such as the "ding" signaling the arrival of a new text message, or the "whoosh" of sending an email. Using these sounds tactfully throughout your presentations will increase learner engagement by initiating states of excitement, focus, or reflection. However, be sparing in your use of such effects, as space is essential for the appreciation of sonic subtleties.
2. Appropriate voice talentYour choice of voice talent is critical – any recognizably-human voices invoked for digital-learning purposes must align with your organization’s cultural DNA and corporate identity.For the digital learning course in question, be sure to consider its subject matter, audience, and tone. After identifying each, decide whether a stodgy accent, homey lilt, or something else entirely would facilitate the most engaging learning experience. Once you have a few options, be sure to send samples to your client for feedback and approval. Reactions to voices, after all, are highly personal.
3. TransitionsTry now to pinpoint all the recurring noises around you, whether infrequent or ever-present. Depending on where you are, you may hear the low hum of a fridge, the persistent honk of a horn, or even the steady beating of your heart. These periodic sounds, absorbed subconsciously, signify the passage of time and transformation of your surroundings.Transition sounds, like the famous musical motifs in each aforementioned film, aid in memory retention by stimulating an emotion, foreshadowing an event, or accentuating a concept. In digital learning courses, transitions work best at the beginning and end of a module. That said, if placed tastefully throughout a course, transition sounds will add polish, build a brand, and encode content in a memorable way.

These are just a few of the ways that sound can be used in your digital learning courses as a design pillar, making training more engaging and enjoyable. Whether you meditate or passively absorb your surroundings, sound adds texture, depth, and meaning to the fabric of our lives. How will you use sound to build your next creation?

E-learning designers are still catching up to what brand differentiation experts have known for a long time. Experience matters.

Consider Bubly, a maker of sparkling water, recently purchased by PepsiCo. Bubly doesn’t try to differentiate at the product level: in a blind taste test between Bubly and LaCroix, participants were unable to tell one from the other. Instead, Bubly focuses on the consumer’s experience of the product.

To begin, there’s the enthusiastic welcome: each can features a pull-tab greeting that mimics text messages – “hey u,” “hiii,” or “yo,” – simulating the kind of playful rapport you might have with friends and family. Next, the product’s peach, pineapple, and grapefruit-toned cans and smiling logo work together to convey positivity, creating a look and feel that aligns seamlessly with its slogan: “no calories. no sweeteners. all smiles.” Finally, Bubly gamifies buying. As writer Elizabeth Demolat points out, no store stocks all twelve flavors at any one time, leading to online and in-person buzz about where to find specific flavors. This strategy, along with the release of a variety of limited-edition flavors, has essentially turned “the act of purchasing a product into a treasure hunt.”

Bubly’s brand differentiation leverages enthusiasm, emotion, and excitement—experiential elements that echo the design pillars of best-in-class e-learning. Here’s how to incorporate each.

1. Enthusiasm

Find new ways to breath energy into the experience. Take, for example, a short, animated video that uses action film motifs to explore emotional awareness in the workplace.

The sequence begins with an establishing shot of a manager providing constructive feedback to an employee. The action moves quickly into the employee’s brain, which is set up as a command center. A group of intelligence agents, straight out of Mission Impossible, look on with alarm. One more word from the manager on “areas for improvement,” and the emotion-regulating amygdala will be triggered, hijacking the employee’s normal reasoning processes. The intelligence agents strategize, introducing different tools and techniques that can be used to regain perspective, and the learning journey begins to take shape.

Greeted with a fresh, playful take on a critical workplace competency, learners are primed to go deeper.

2. Emotion

How do you get beyond the rational regions of your brain – the ones that “control language, but not decision-making” – to tap into feelings and emotions? One particularly creative course on human anatomy leverages powerful visuals to reach learners on that deeper level.

Participants begin by learning that there are more nerve cells in the brain than stars in the Milky Way, observing a close-up of the brain’s circuitry dissolving into tiny specks lighting up the night sky. Because the underlying anatomy remains hidden, medical-aesthetics practitioners learn that they will essentially be working in the dark. The stars fade out slowly, one by one, until there’s nothing left on screen but total darkness—a strange, slightly unnerving experience that drives home the importance of understanding anatomical structures on a visceral level.

3. Excitement

Give people something they’ve never experienced before by challenging the norms of typical training.

Data-protection policies, for instance, are critical safeguards wherever they’re in place, but existing e-learning on the subject is almost always designed as a passive, one-way transmission of information. One exceptional data-protection course takes a different approach, using live-action video and a dramatic soundtrack to depict a privacy breach occurring in real time.

While this can get gimmicky, immersing learners in a volatile environment with uncertain outcomes builds tension, a key lever for creating buy-in.

‍So, how can we help clients build better learning experiences?

‍Many clients see digital learning as a product, one that looks a lot like what’s already out there: didactic, uninspired, dull. By nudging clients toward digital learning courses that mirror what they already know about branding, we might just be able to help them build experiences that stand out in a crowd.

You can't predict the future. You can be disciplined about how you face it.

That's where Future Storming comes in. Future Storming is a process for looking at the trends and signals already visible in the market, understanding how those forces connect, and thinking more clearly about where they may lead.

Recently, we've been applying that lens to talent strategy, running Future Storming sessions with talent leaders across industries to understand which forces are already reshaping how organizations find, develop, and retain the people they need. When you look across those conversations, one thing is hard to miss: AI runs through almost all of the most significant trends, and not as a future scenario. It's already reworking the talent systems most organizations have leaned on for years, often quietly, and often faster than leadership teams have had time to respond.

From these sessions, five high-likelihood, high-impact shifts have emerged as the ones every talent leader needs to be watching right now. What follows is what each of them may mean for your organization.

1. The frameworks most organizations use to define great leadership were built for a different era

Skills and competency models describe work that no longer exists in many roles or that AI now performs alongside, or instead of, humans. The gap between what organizations say they're selecting and developing for, and what the work actually requires, is widening quietly.

This creates a real problem. Organizations that don't redefine what great looks like now will be developing the wrong people for the wrong future optimizing for capabilities that are becoming less predictive while under-investing in the ones that matter most.

• Rebuild leadership profiles from a future-back perspective, starting with where the business is heading, not where it has been.
• Focus on the distinctly human capabilities AI cannot replicate judgment in ambiguous conditions, relational intelligence, ethical reasoning, the ability to set direction when there is no precedent.
• Increase the use of behavioral observation in selection and development. It's the only methodology that shows how someone actually thinks and decides under real pressure.

The signal worth chasing isn't on a resume, it's in the room in how someone handles a real situation, under genuine pressure. It's the only place where someone can't prepare their way out of being themselves.

2. Human differentiators are the last mile AI cannot close

Judgment. Empathy. Creativity. The ability to navigate genuine ambiguity. These are increasingly what separates human contribution from AI output and they're precisely the things most talent systems have always found hardest to measure.

For a long time, organizations could afford to treat these as qualities that would emerge naturally with experience. That's no longer an option. The human differentiators are becoming the job. And most organizations still aren't measuring them well.

The methods exist behavioral assessment, simulation, structured observation. And AI is now making them accessible at scale in ways that simply weren't possible before. The question isn't whether to use them. It's how to deploy them thoughtfully, with the governance and transparency that -stakes talent decisions require.

• AI-powered behavioral observation that surfaces how people actually perform in the flow of work, (i.e. judgement, decision-making, adaptability) not self-report
• Assessment that evaluated how people work with AI, not just without it because that's increasingly what the role looks like
• Simulation-based approaches that reveal thinking in action - the kind of evidence no credential or output can provide

3. The talent pipeline is broken

AI is displacing the early-career work that has traditionally served as the on-ramp into organizational life. Those tasks once gave emerging employees something more valuable than work product. They gave them foundational experiences, relationships, and judgment. The kind of judgment that eventually grows into leadership.

The impact won't show up immediately. That's exactly what makes it worth paying attention to now. Within three to six years, benches will thin and succession pipelines will require far more intentional investment. Organizations will find themselves asking why their internal talent isn't developing the way it used to.

The organizations that get ahead of this have a real opportunity to build something more deliberate, more equitable, and better suited to the capabilities the future actually requires.

• Invest in real, simulation-based experiences, putting emerging leaders into the decisions and pressures that build genuine organizational judgment, not just task exposure.
• Redefine what early-career development is, building toward the capabilities the future requires, not the ones the old job description described.
• Build feedback into the flow of work. AI behavioral observation and practice AI role plays make continuous development possible at scale. The experience that used to happen informally has to be designed now.

4. People need to re-skill faster than any development model was built to support

People need to reskill faster than any development model was built to support.  Most organizational development infrastructure was built around a longer, more stable arc of skill acquisition. AI is compressing that arc significantly.

The implication isn't just that training needs to be faster. It's that the whole architecture of how organizations identify, develop, and deploy talent needs to be built for continuous recalibration not periodic refresh.

• Prioritize adaptability and learning agility over static expertise. The ability to acquire new capabilities quickly matters more than the specific capabilities someone holds today.
• Treat reskilling as a continuous organizational process, not an episodic program.

5. AI is absorbing leadership work and culture is losing it's anchor

This is the shift that's easiest to underestimate, and hardest to recover from once it arrives.

Culture is what people see leaders do. The behaviors leaders model how they make decisions, how they show up in hard moments, what they choose to reward and what they let go are how organizational culture gets transmitted. It doesn't travel through stated values. It travels through visible human behavior.

AI is absorbing the work that used to make leaders visible as humans making choices. Performance reviews written by AI. Communications drafted by AI. Coaching conversations mediated by AI. When the distinctly human work disappears, so does the signal. People don't know what to watch anymore. And culture which depends on that watching starts to fray.

The organizations that navigate this well won't be the ones that use less AI, they'll be the ones most intentional about which leadership behaviors remain visibly human, and why.

The behaviors that held culture together need to be rebuilt around what humans uniquely contribute now and that starts with getting the success profile right. That's exactly what the Future Ready Profile is built for.

Strengthen empathy-centered leadership capabilities. The human dimensions of leadership matter more, not less, as AI takes on more of the technical work.

• Strengthen empathy-centered leadership capabilities. The human dimensions of leadership matter more, not less, as AI takes on more of the technical work.
• Reinforce organizational purpose and human-centered culture as anchors.
• Treat culture as something you design, not something you inherit.

What this means

The organizations that navigate this well won't be the ones that adopted AI fastest, they'll be the ones that invested just as deliberately in the human systems around it.

These five shifts aren't warnings. They're design problems, and design problems have answers. The talent systems that come out of this moment can be more intentional, more equitable, and more fit for purpose than anything we've built before.

At BTS, this is the work we're doing every day. If you'd like to think through what any of it means for your organization, we’d love to talk.

The thinking in this article was shapped by Future Storming sessions, including a SIOP 2026 workshop, and by ongoing conversations with talent leaders navigating these shifts in real time.

Hace unos meses terminé una sesión con un equipo de ejecutivos comerciales de una institución financiera mediana. Dos días intensos: cómo prospectar, cómo estructurar conversaciones centradas en el cliente, cómo crear valor en cada interacción. El grupo salió inspirado del taller.

Tres semanas después le pregunté a uno de los mejores participantes sobre cómo le había ido aplicando las nuevas herramientas. Me miró un segundo y me dijo, con total honestidad:

“La verdad... la semana siguiente fue igual que siempre, volví al viejo sistema”

El entrenamiento de capacidades es  necesario. Pero sin una cultura comercial que lo sostenga, es un esfuerzo poco  rentable para las empresas.

1.   Las capacidades sin contexto no sobreviven al día a día

Un ejecutivo de ventas puede salir de un taller sabiendo exactamente qué preguntar, cómo estructurar una conversación de valor, cómo posicionarse como asesor estratégico en lugar de vendedor de productos. La semana siguiente, el peso de las métricas de corto plazo, la presión por resultados y las urgencias del día a día terminan arrastrándolos de vuelta a la rutina de siempre.

McKinsey (2024) encontró que más del 70% de las iniciativas de transformación comercial no logran sus objetivos — y la principal causa no es el diseño del programa, sino la falta de condiciones organizacionales para sostener los nuevos comportamientos.

El problema no es el taller. Es lo que existe o no existe en la realidad de la estructura comercial.

2.   El cambio requiere alinear seis pilares

Lo que diferencia a las empresas que realmente transforman su modelo comercial de las que solo capacitan, está relacionado con seis pilares que operan simultáneamente.

1.    Patrocinio de la alta dirección que empodera en lugar de solo exigir

2.    Disciplina en gestión de cuentas/clientes estratégicos, con metodología y seguimiento

3.    Conversaciones centradas en el cliente, no en el portafolio de productos

4.    Cada interacción con relevancia estratégica, preparadapara crear valor medible

5.    Nuevos comportamientos integrados al ritmo operativodiario y la cadencia del negocio

6.    Líderes comerciales presentes que sostienen la cultura, no solo la expresan

Cuando falta uno, los demás no escalan y terminan provocando un círculo vicioso.

3.   El liderazgo que sostiene vale más que el que exige

El patrocinio de la alta dirección y la presencia de los líderes comerciales sonlos pilares que más frecuentemente fallan. No porque los líderes no crean en el cambio, sino porque el día a día los jala de vuelta a revisar resultados, no a construir comportamientos.

Gartner (2024) señala que los equipos comerciales cuyos líderes hacen coaching activo y visible tienen hasta un 28% mayor probabilidad de adoptar nuevos comportamientos de manera sostenida.

El entrenamiento define el rumbo y entrega el mapa; el liderazgo es lo que realmente ayuda a navegar y sostener el cambio.

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Conclusión

Si tu empresa está invirtiendo en transformar la forma en que sus equipos comerciales se relacionan con los clientes, la pregunta ya no es si el entrenamiento funciona. La verdadera pregunta es: ¿qué tan preparada está la organización para sostener el cambio?

Porque el talento existe. Las habilidades se desarrollan. Pero la cultura no se improvisa; se construye todos los días, con liderazgo, alineación y consistencia.

¿Cuál de estos seis pilares es hoy el más débil en tu organización?

É possível mudar a cultura de uma organização?

Hoje em dia, poucas organizações não estão envolvidas em um (ou vários) processos de transformação cultural. Novas formas de trabalhar em organizações mais horizontais e adaptativas, melhorias na cultura de segurança, orientação ao cliente, transformações nas áreas comerciais e excelência operacional, entre outros.

E é aqui que surge uma das grandes perguntas:

É possível mudar a cultura de uma organização? E, se sim, como fazer isso?

Para ajudar a responder a essas perguntas—frequentes entre nossos clientes e amplamente discutidas—gostaria de compartilhar o que aprendemos na BTS ao longo dos últimos 38 anos sobre o que funciona e o que não funciona (até agora, pois em transformação cultural estamos sempre aprendendo).

A boa notícia é que a resposta é sim.

A dificuldade está na segunda pergunta: como fazer isso?

Um projeto? Uma iniciativa?

Um ponto importante é que a transformação cultural não é um projeto com início e fim, mas sim um processo contínuo e em evolução. Isso muitas vezes gera tensão em organizações acostumadas a uma lógica de projetos.

O que é crítico e frequentemente ignorado?

Existem elementos que, quando considerados e aplicados corretamente, tornam a transformação muito mais eficaz. No entanto, muitas vezes são ignorados.

Esses elementos são:

• Envolver as pessoas. Quanto maior o envolvimento em todos os níveis, maior a probabilidade de implementação das mudanças.
• Tornar a mudança tangível e vivida no dia a dia, conectando teoria e prática. Transparência é fundamental.
• Toda mudança tem impactos positivos e negativos — ambos devem ser comunicados com clareza.
• Mudança cultural exige tempo e transformação de mindsets e estruturas organizacionais.
• A cultura deve estar conectada à estratégia.

Como estruturamos a transformação cultural?

Nosso modelo se baseia em quatro etapas: definir resultados, criar líderes de mudança, incorporar mudanças e sustentar novas formas de trabalho.

1. Definir resultados

O primeiro passo é estabelecer resultados claros e alinhamento executivo. É necessário conectar propósito, visão e objetivos organizacionais.

Ações:

• Coleta de dados (entrevistas, focus groups, visitas)
• Diagnósticos culturais
• Definição de expectativas (Leadership Profiles

2. Criar líderes de mudança

Todos os líderes devem atuar como agentes de mudança. É fundamental engajá-los emocional e racionalmente.

Ações:

• Programas de liderança
• Playbooks
• Feedback contínuo

3. Incorporar mudanças

É essencial transformar mentalidades e sistemas organizacionais.

Ações:

• Coaching
• Sprints culturais
• Cascata organizacional
• Avaliações comportamentais

4. Sustentar o novo modelo

Garantir continuidade através de redes, dados e suporte contínuo.

Ações:

• Integração com processos de talento
• Uso de IA no dia a dia
• Monitoramento da transformação
• Comunidades de prática

A importância de ser paciente e impaciente ao mesmo tempo

Transformações culturais são complexas e não têm fórmula única.

Ser estrategicamente paciente e taticamente ágil é essencial para ajustar e evoluir continuamente.

Esse equilíbrio permite transformar a jornada em algo positivo e sustentável.

Este é apenas um resumo.

Se quiser aprofundar com exemplos e práticas:

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