The Curiosity Window: Why Customers Try New Technology When They Finally Have Time

Innovation adoption depends not just on awareness, usefulness, or excitement, but also on whether consumers have the mental space to explore something unfamiliar.

The Missing Ingredient in Technology Adoption

Technology companies have traditionally approached adoption as a problem of awareness, persuasion and accessibility. If consumers know a new technology exists, understand its benefits, and can access it easily, the assumption is they will eventually try it. This logic has encouraged brands to invest heavily in product launches, advertising campaigns, influencer partnerships, demonstrations and media coverage. Yet the market continues to produce a familiar contradiction: technologies that attract enormous attention do not always achieve widespread adoption, while others gain traction when consumers unexpectedly find themselves willing to explore something new.

The November 2025 Harvard Business Review article, Research: When Are Customers Willing to Try a New Technology?, by Guneet Kaur Nagpal and Amrita Mitra, offers a different perspective. Its central insight is that consumers may be more willing to explore unfamiliar technologies when they experience what the researchers describe as found time, or unexpected free time that creates an opportunity to investigate something they would otherwise postpone. The article highlights how curiosity about complex ideas such as blockchain increased during the early Covid-19 lockdowns, when many people experienced changes in their usual schedules. The implication is important: technology adoption is not simply a function of how convincingly a company communicates its value. It can also depend on whether consumers have the time and mental bandwidth to engage with it.

This perspective challenges a deeply embedded marketing assumption: that greater visibility automatically produces greater readiness. Visibility may put a technology on a consumer’s radar, but readiness requires something more. People must be able to pause, overcome the discomfort of learning, understand the potential value and take the first step. For marketers, the challenge is twofold: make the technology worth exploring and ensure useful information, demonstrations, and opportunities to experiment are available when consumers are ready to engage.

The distinction matters across artificial intelligence, digital payments, connected devices, electric mobility, online education and emerging consumer products. In each category, businesses can spend substantial resources generating interest without resolving the practical question that determines whether interest becomes action: when will the customer actually make time to try the innovation?

1. The Awareness Trap: Why Being Seen Is Not the Same as Being Adopted

Most technology launches follow a predictable sequence. A company announces an innovation, creates awareness through advertising and public relations, communicates the product’s advantages, encourages trials and measures the resulting engagement. The underlying assumption is that consumers move steadily from awareness to interest and then to adoption. In reality, consumer behaviour is rarely so orderly. Someone may hear about a new AI tool repeatedly, understand its potential and even recommend it to colleagues without ever using it. Another person may encounter the same tool during a quiet weekend, experiment with it for half an hour and become a regular user.

Both individuals have been exposed to the technology, but their circumstances differ. The first may be interested but tied up with immediate responsibilities. The second has an opportunity to investigate the technology without competing demands. This difference suggests that marketers should distinguish between exposure, interest, readiness and action, rather than treating them as interchangeable measures of progress.

Consider launching an AI-powered productivity application. Its advertisements may demonstrate how the application summarises documents, prepares presentations and automates repetitive tasks. These benefits are attractive, but a busy professional may still postpone trying it because experimentation requires several decisions: registering for an account, understanding the interface, evaluating data permissions, learning how to write effective prompts and determining whether the results are reliable. The product may save time eventually, but using it initially requires an investment of time.

That creates an adoption paradox. A technology promising to save time may demand time before its benefits become apparent. Marketing that communicates only the eventual reward overlooks the immediate effort required to experience it.

Businesses should therefore examine the gap between knowing about a technology and being ready to engage with it. High awareness combined with low trial may not indicate weak demand. It may indicate that the product is complicated, customers are busy, onboarding is intimidating, or opportunities to experiment are too limited.

The practical implications are significant:

• Separate awareness measures from trial and sustained-use measures.
• Customer research should investigate when people feel able to explore unfamiliar products, not merely whether they intend to use them.
• Marketing communication should reduce the immediate effort involved in experimentation.
• Product teams should identify the smallest meaningful experience that demonstrates the technology’s value.

The objective is not to abandon awareness-building. It is to recognise that awareness creates an opportunity for adoption rather than guaranteeing it.

2. Found Time: When Curiosity Becomes an Opportunity

Found time is different from time that consumers deliberately allocate to a task. Someone who schedules a training session or books a product demonstration has already decided the activity deserves attention. By contrast, found time emerges when an unexpected change in circumstances creates room for an activity that was previously deferred. A cancelled meeting, a delayed journey, a quieter workday or a temporary reduction in routine obligations may create an opportunity to explore something unfamiliar.

The important point is not that every spare minute produces curiosity. Instead, unexpected free time can enable exploration when curiosity already exists or when someone encounters a compelling stimulus. The technology still needs to appear relevant, understandable or interesting. Time creates the opportunity; it doesn’t manufacture motivation or guarantee adoption.

The Covid-19 lockdowns illustrate the principle. Changes in commuting, workplace routines and social activities altered how people spent their time. Some used the opportunity to learn new skills, experiment with digital tools, or explore unfamiliar subjects. Nagpal and Mitra’s article uses the increased curiosity surrounding blockchain during the early lockdown period to illustrate how changes in available time can influence engagement with complex technologies.

For marketers, the lesson is to recognise that consumer readiness can change even when the product, the audience and the message remain unchanged. A potential customer who ignores a technology today may become receptive tomorrow because their circumstances have shifted. Traditional campaign planning often treats readiness as a relatively stable customer characteristic, dividing audiences into early adopters, mainstream consumers and laggards. The concept of found time adds another dimension: the same person may be an early experimenter one moment and a reluctant adopter the next.

Consider a small-business owner who has repeatedly postponed adopting inventory-management software. The owner understands that the technology could improve stock visibility and reduce manual errors, but daily operational demands leave little room to learn a new system. During a quieter trading period, the owner finally explores a demonstration and finds implementation manageable. The customer’s underlying need has not necessarily changed. What has changed is the opportunity to act on it.

This distinction matters most for products that require explanation or experimentation. Technologies involving artificial intelligence, automation, financial planning and business analytics often deliver value only after users invest some effort in learning how they work. A consumer who encounters them during a demanding period may defer exploration, whereas the same consumer may investigate them when the immediate pressure subsides.

The strategic question for businesses is therefore not simply, “How do we make customers interested?” It is also, “How do we make ourselves useful when customers have the capacity to act on that interest?”

3. The Hidden Cost of Learning Something New

Every new technology imposes a learning cost. Even an apparently intuitive product requires users to understand its functions, determine its limitations, and build confidence in its outcomes. When technology is unfamiliar or complex, the cost extends beyond the time it takes to operate. Customers may also worry about making mistakes, losing information, exposing personal data or investing effort in something that ultimately disappoints them.

These barriers help explain why communicating functional benefits is often insufficient. A company may demonstrate that its product is faster, cheaper or more accurate than existing alternatives without explaining how a first-time user can experience those benefits safely and quickly. The customer sees the destination but cannot clearly picture the journey.

Consider three different types of innovation:

• Low-complexity innovation: A familiar mobile application introduces a new feature that can be activated with one tap. The learning requirement is minimal, making immediate experimentation relatively easy.
• Moderate-complexity innovation: A smart-home device requires installation, connectivity and configuration. Consumers must spend time setting it up before they can experience its benefits.
• High-complexity innovation: An AI-based business analytics platform requires data integration, prompt design, interpretation and workflow changes. Customers may need substantial support before they can judge its value.

The marketing task differs across these situations. The first product may benefit from a clear in-app prompt. The second may require guided installation and accessible troubleshooting. The third may need a structured demonstration, a sandbox environment, sample data and expert support.

The principle is straightforward: the more effort required to experience the benefit, the more carefully a business must design the first encounter.

This is where product design and marketing strategy intersect. Marketing may generate the initial motivation, but the product experience determines whether that motivation survives the learning process. A compelling campaign that leads customers into a confusing onboarding journey can waste the very attention it has successfully created.

Businesses should focus on reducing the perceived and actual cost of experimentation through measures such as:

• Short, guided demonstrations: Show one meaningful outcome before explaining every feature.
• Low-risk trials: Let customers experiment without a major financial commitment or changes to their existing systems.
• Familiar entry points: Connect the new technology to a task customers already understand.
• Progressive learning: Introduce advanced capabilities only after users have mastered the basics.
• Visible reassurance: Explain data protection, limitations, cancellation terms and support options clearly.

The objective is to make the first step small enough to fit into the customer’s available time while making the resulting benefit sufficiently tangible to justify a second step.

4. Why More Hype May Not Produce More Adoption

Technology marketing often operates in an attention economy. Product launches compete for media coverage, social engagement, search visibility and influencer endorsements. Companies announce breakthroughs, publish ambitious claims and emphasise how quickly their industries are changing. This approach can make an innovation visible, but it may also create the misleading impression that consumer readiness will rise in proportion to public excitement.

Hype and adoption operate through different mechanisms. Hype can increase awareness, social discussion and perceived importance. Adoption requires people to make decisions, allocate resources and change behaviour. These activities demand more than attention.

Generative AI provides a useful example. A professional may read about AI assistants every day, watch social media demonstrations, and hear colleagues discuss productivity gains. Yet experimenting with an AI tool requires the professional to identify a suitable task, understand the interface, evaluate the quality of its output, and decide whether to trust the technology. Repeated exposure may increase awareness without removing these obstacles.

The same problem can affect electric vehicles, digital banking services and advanced consumer electronics. A launch can attract enormous interest, but customers may still hesitate because they cannot assess the total cost, understand the installation requirements, evaluate the risks or determine how the product fits into their lives.

This does not mean hype is useless. Public attention can help a technology become culturally relevant and encourage people to consider it. The mistake is treating attention as evidence that customers are ready to commit.

A more effective approach separates three marketing objectives:

1. Create salience: Make customers aware of the innovation and the problem it addresses.
2. Enable exploration: Provide the information, tools and opportunities needed to evaluate it.
3. Support adoption: Help customers integrate the technology into their existing routines.

Each objective requires different communication and measurement. Reach and impressions may indicate salience; demonstration completion and trial activation may indicate exploration; repeat usage, retention and workflow integration may indicate adoption.

When businesses measure these stages separately, they can identify whether they have an awareness problem, an experimentation problem, or a value-delivery problem. Without this distinction, companies risk spending more on advertising when the real constraint lies elsewhere.

5. The Indian Market: Making Room for Technology Adoption

India offers a particularly interesting context for examining the relationship between curiosity, available time and technology adoption. Digital payments, e-commerce, online education, telemedicine and AI-powered applications have expanded the range of technologies available to consumers and businesses. Yet access to technology does not necessarily mean customers have the confidence, time, or motivation to use it.

Consider the evolution of digital payments. UPI’s spread has made digital transactions an everyday activity for many Indians, including small merchants and consumers who previously relied heavily on cash. However, the adoption journey isn’t the same for every user. A consumer comfortable scanning a QR code to pay for groceries may still hesitate to use an unfamiliar financial app that offers credit, investment recommendations, or automated financial management. Familiarity with one technology does not automatically eliminate the learning requirements associated with another.

Online education offers another illustration. A working professional may recognise the value of learning data analytics or artificial intelligence but struggle to begin a course because of professional responsibilities and family commitments. During a period of reduced workload, that individual may finally have the opportunity to explore available courses. An institution that offers a clear introduction, a short sample lesson, and an easy enrolment process is better positioned to turn that opportunity into engagement than one that repeats its promise of career advancement.

Similar considerations apply to small businesses adopting digital inventory systems, customer relationship management software and automated accounting tools. Owners may understand the advantages of these technologies but lack the uninterrupted time required to compare providers, learn new workflows and evaluate implementation costs. A solution that offers guided onboarding and demonstrates value through a familiar business task can reduce the distance between interest and action.

These examples are strategic applications of the found-time concept, not claims that the research discussed above has empirically tested every Indian technology category. They show why companies should consider their target customers’ practical circumstances when designing adoption strategies.

For Indian businesses, several priorities follow:

• Design for constrained attention. Assume that customers may have limited uninterrupted time to understand a product, even when they are interested in it.
• Localise the learning experience. Use familiar examples, appropriate languages and demonstrations grounded in the customer’s daily life.
• Reduce the consequences of experimentation. Offer transparent pricing, clear support and low-risk opportunities to test the technology.
• Match the adoption journey to the customer. A digitally confident urban professional and a first-time small-business user may need different routes to the same outcome.
• Recognise temporary opportunities. Product education can be especially useful when customers are actively researching a problem, exploring a new skill or reconsidering an established routine.

The broader lesson is that market opportunity depends not only on how many people could benefit from a technology but also on how effectively businesses help them find the time and confidence to experience its value.

6. Turning Found Time into a Marketing Strategy

Businesses cannot manufacture free time for every customer. They can, however, make their products easier to discover, evaluate and try whenever an opportunity for exploration emerges. This requires shifting from campaign-centric thinking to an approach that combines timely communication with persistent access to useful learning resources.

A practical strategy can be organised around four priorities.

A. Make discovery immediately useful

When customers encounter an unfamiliar technology, they should quickly understand what it does, whom it helps and why it deserves attention. Generic claims about innovation or disruption are unlikely to answer these questions adequately. A more effective message shows a specific outcome, such as reducing report preparation time or simplifying a repetitive administrative task.

The strongest entry point is often a problem the customer already recognises, not a technical feature the company wants to promote. For example, an AI writing application can start by showing how it helps prepare a first draft, rather than presenting an extensive list of underlying capabilities.

B. Build an always-available learning environment

Customers do not necessarily become interested when a company launches its campaign. Their curiosity may emerge days or weeks later, when they encounter a relevant problem or have time to investigate a possible solution. Businesses should therefore maintain accessible product explainers, short tutorials, frequently asked questions, demonstrations and self-guided trials.

This is especially important for technologies whose benefits are difficult to appreciate through advertising alone. An online demonstration that remains available after a campaign ends can capture interest that would otherwise disappear. The objective is to ensure that a customer who becomes ready to explore does not have to wait for the company to begin communicating again.

C. Reduce the time first to value

The first experience should demonstrate a meaningful benefit as quickly as possible. Companies should identify the shortest realistic journey from initial interest to a useful outcome, then eliminate unnecessary steps along the way.

For example, an AI analytics platform could allow a prospective customer to explore a sample dashboard using demonstration data before completing a lengthy integration process. An online learning platform could offer a short introductory lesson before asking a prospective learner to enrol in a full programme. A connected-device manufacturer could provide a guided setup experience that anticipates common installation problems.

Reducing time to first value does not mean concealing complexity. It means sequencing the experience so customers can understand the potential benefit before committing more.

D. Follow up without creating unnecessary pressure

Once a customer has explored a technology, relevant follow-up can help turn curiosity into sustained engagement. The follow-up should respond to the customer’s behaviour rather than simply repeat promotional messages.

A person who has completed a product demonstration may benefit from an implementation guide. Someone who has started a trial but not completed setup may need practical assistance. A customer who has completed the first task may be ready to explore a more advanced feature.

The distinction matters because effective follow-up removes the next barrier rather than creating additional noise. Marketing automation, customer education, and product analytics can work together to provide relevant assistance, as long as communication respects customer preferences and privacy.

7. What Marketers Should Measure Instead of Awareness Alone

The found-time perspective also affects marketing analytics. Traditional measures such as reach, impressions, clicks, and brand awareness remain useful, but they don’t fully capture technology adoption. Businesses need to understand whether customers are moving from awareness to experimentation and whether that experimentation delivers meaningful value.

A more useful measurement framework would include the following indicators:

Stage	What to measure	What it reveals
Awareness	Reach, recall and qualified visits	Whether the technology is entering consideration
Exploration	Demo starts, tutorial completion and trial activation	Whether customers are taking the first step
First value	Time to first successful task	How quickly the benefit becomes tangible
Adoption	Repeat use and feature engagement	Whether the technology is becoming useful
Retention	Continued usage and customer retention	Whether the value justifies ongoing engagement

Companies can go further by studying the circumstances in which customers begin experimenting. When feasible and appropriate, research can examine whether customers are more likely to start trials after periods of reduced workload, at particular stages of the purchase journey, or after exposure to educational content.

Such analysis must be conducted carefully. A correlation between available time and product trials does not, by itself, prove that found time caused the behaviour. Other factors, including seasonal demand, changes in income, product availability and promotional activity, may also influence adoption. Controlled experiments and longitudinal research can help distinguish these effects.

The managerial objective is not to build a complicated analytics system around every spare minute in a customer’s day. The goal is to distinguish between an audience that hasn’t noticed a product and one that has noticed it but hasn’t yet found an opportunity to try it.

8. The Competitive Advantage of Being Ready When Customers Are Ready

If companies cannot control when customers find time to explore new technologies, they must compete on their ability to respond. This changes what marketing readiness means.

A company that launches a major campaign may capture attention briefly. Still, a competitor with a simpler demonstration, clearer guidance, and an accessible trial may convert more of that interest into actual experimentation. The second company does not necessarily have a superior technology. It may simply make the first step easier.

This creates a different source of competitive advantage: being prepared to turn temporary curiosity into a meaningful product experience.

The advantage can emerge from several capabilities working together. Product teams must make experimentation intuitive. Marketing teams must communicate benefits in terms customers understand. Customer support must remove uncertainty. Digital platforms must provide useful resources when prospective users seek them. Analytics teams must identify where people abandon the journey and why.

These capabilities are especially valuable when competing technologies offer similar functional benefits. If two AI applications can perform comparable tasks, the one that helps a customer achieve a useful result with less effort may win the initial trial. If that first experience builds confidence, it may also increase the likelihood of repeat use and recommendation.

However, ease of experimentation should not be confused with superficial simplicity. A product may be easy to try but fail to deliver sustained value. Long-term adoption still depends on performance, reliability, trust, relevance and the ability to integrate into established routines. Found time helps explain when exploration may occur; it does not replace these fundamental requirements of product success.

Conclusion: Do Not Just Create Curiosity. Be Ready for It.

The conventional approach to technology marketing places considerable emphasis on generating attention. Companies invest in campaigns designed to make consumers notice an innovation, understand its benefits, and feel urgency to adopt it. Yet practical constraints shape the journey from interest to action in ways communication alone cannot eliminate.

The research Nagpal and Mitra discuss highlights one such constraint: the time available to explore something unfamiliar. Unexpected free time can open the door to curiosity, especially when the technology is complex and learning requires deliberate effort. This insight invites businesses to reconsider how they design product experiences, structure customer education, and evaluate marketing effectiveness.

The implications extend beyond technology brands. Any business introducing an unfamiliar product, service, or way of working must consider how much effort customers need to invest before they experience the promised benefit. The more demanding that first step, the more important it becomes to provide clear guidance, accessible demonstrations and opportunities for low-risk experimentation.

For marketers, the priorities are clear:

• Stop treating awareness as proof of readiness.
• Make the first meaningful experience easy to access.
• Reduce the learning effort required to discover value.
• Keep educational resources available beyond launch campaigns.
• Measure progression from curiosity to trial, value and sustained use.

Ultimately, successful innovation is not simply about persuading customers that the future has arrived. It is about helping them take a first step toward that future when they are ready. Brands cannot control every moment curiosity emerges, but they can control whether the opportunity to explore their technology is clear, accessible, and worthwhile.

The most effective technology marketers do more than capture attention. They make sure that when curiosity finally finds the time to act, the path to adoption is already open.

Reference article: Guneet Kaur Nagpal and Amrita Mitra, “Research: When Are Customers Willing to Try a New Technology?”, Harvard Business Review, November 5, 2025. Read the original article.