Shadowing Practice: Don’t Start with AI, Start with the Problem - Learn English Speaking with Video
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-To build good AI products, we should start with three major steps, identifying problems that users experience, identifying how we might go about solving those problems, then identifying the technology that can help.
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The challenge is that these days, we so often start with selecting the technology and find a problem for it to solve later.
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With AI, this bad reverse order is even worse.
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More often than not, with AI, people are pressured to use AI for something, anything.
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In UX, we call this problem solutioneering.
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It's so common that we included it as our UX slogan number 18.
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Instead, we should be collecting issues that do exist, problems that users do experience.
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A good AI strategy begins with identifying unmet user needs, business challenges, or market opportunities, and then considering where AI might be a viable solution along with other alternatives.
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Let's talk about an example.
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Imagine a team at a FinTech company.
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The wrong way, the solutioneering way, starts with some sort of pressure from above.
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"We need to use AI to look innovative." The team decides to add a generic AI chatbot to their main credit card page.
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After months of work, they launch the chatbot, but users don't use it.
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Why? Because maybe the page already has a clear comparison table and customers can find what they need faster without talking to a bot.
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In this situation, the AI chatbot is a classic solution that solves no real user problem.
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A solution looking for a problem.
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Let's flip that.
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Let's take a look at an example of how we should approach building useful AI products.
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Step one, identify the user problem.
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Let's imagine that the team analyzes user data and sees that plenty of people abandon their online mortgage application halfway through.
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Through a few customer interviews, they quickly learn why.
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Customers are confused by financial jargon like APR or interest rate and feel anxious they're making the wrong choice.
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That's the problem.
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Step two, identify how to solve it.
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The goal is to reduce confusion and anxiety.
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They could create a glossary page, make explainer videos, or offer a live chat with a loan officer.
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Step three, identify the technology.
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This is where AI could actually help.
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A well-trained AI assistant could offer instant, in-context explanations for confusing terms 24-7.
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Success can be defined and would be easy to measure.
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A decrease in the number of abandoned mortgage applications.
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See the difference?
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We didn't start with AI.
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We started with a real user problem and found that AI was a fitting tool that might solve it.
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AI is just a tool that can solve problems.
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It shouldn't be assumed to be part of the solution unless you've started with the problems first and understood them clearly.
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Not only should we have identified legitimate problems, but ideally, we've had a discussion on how we'd recognize success by doing it.
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As much as we want to start with AI, we want to create good experiences.
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Start by identifying problems.
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Then, just maybe, AI could help solve those problems.
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-Thanks for watching.
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If you want to see more of our UX videos, take a look at these over here and consider subscribing to our channel.
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On our website nngroup.com, you can access our free library of over 2,000 articles.
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You can also register for one of our UX courses that offer live hands-on UX training.
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Woordenschat en spreektips bij deze les
Deze spreekles op niveau C1 is gebaseerd op de video “Don’t Start with AI, Start with the Problem”. Deze woorden komen het vaakst terug: user, solve, identifying, solution, step. Deze video bevat 44 zinnen en 569 woorden om na te spreken. Het gesproken deel duurt 4:04. De spreker praat in een gelijkmatig tempo van ongeveer 140 woorden per minuut, prettig om te shadowen. 82% van de woorden hoort bij de 3.000 meest gebruikte Engelse woorden; de rest kun je beter vooraf bekijken.
Belangrijke woorden in deze video
De 10 moeilijkste woorden uit de video, met uitspraak en betekenis:
| Woord | Uitspraak | Betekenis |
|---|---|---|
| chatbot zelfstandig naamwoord | /ˈtʃætbɑt/ | chatbot |
| abandon werkwoord | /əˈbæn.dən/ | opgeven, prijsgeven |
| glossary zelfstandig naamwoord | /ˈɡlɑ.sə.ɹi/ | glossarium |
| jargon zelfstandig naamwoord | /ˈdʒɑː.ɡən/ | jargon, vaktaal |
| confuse werkwoord | /kənˈfjuːz/ | verwarren, in de war brengen |
| slogan zelfstandig naamwoord | /ˈsloʊɡən/ | slagzin |
| analyze werkwoord | /ˈæn.əˌlaɪz/ | analyseren |
| viable bijvoeglijk naamwoord | /ˈvaɪəbəl/ | levensvatbaar |
| subscribe werkwoord | /səbˈskɹaɪb/ | abonneren |
| halfway bijwoord | /ˌhæfˈweɪ/ | halfweg, halverwege |
Grammatica in deze video
De structuren die de spreker het meest gebruikt, met de exacte woorden uit de video:
| Structuur | In de video |
|---|---|
| Lijdende vorm be + voltooid deelwoord — het gaat om wat er gebeurt, niet om wie het doet | are pressured · can be defined · be assumed |
| Present perfect have/has + voltooid deelwoord — iets uit het verleden dat nu nog telt | you've started · have identified |
Uitspraak om op te letten
De spreker gebruikt 7 samentrekkingen en verkorte vormen, zoals didn't, don't, shouldn't. Spreek ze kort uit, zoals je ze hoort.
Klanken die Nederlandstaligen lastig vinden:
- Stemhebbende eindmedeklinker — /b/, /d/, /g/, /z/, /v/ niet verscherpen: confuse /kənˈfjuːz/, analyze /ˈæn.əˌlaɪz/, subscribe /səbˈskɹaɪb/
- /æ/ — opener dan de Nederlandse “e”: chatbot /ˈtʃætbɑt/, abandon /əˈbæn.dən/, analyze /ˈæn.əˌlaɪz/, halfway /ˌhæfˈweɪ/
- /g/ — een harde plofklank, geen Nederlandse “g”: glossary /ˈɡlɑ.sə.ɹi/, jargon /ˈdʒɑː.ɡən/, slogan /ˈsloʊɡən/
Zo oefen je met deze video
- Luister de hele video één keer zonder te spreken en noteer de woorden die je niet kent.
- Spreek zin voor zin na op normale snelheid en herhaal elke zin tot je ritme gelijk is aan dat van de spreker.
- Neem jezelf op en vergelijk met het origineel; let daarbij op woorden als chatbot, abandon, glossary.
Wat is de Shadowing-techniek?
Shadowing is een wetenschappelijk onderbouwde taalleermethode die oorspronkelijk is ontwikkeld voor professionele tolkentraining en gepopulariseerd door polyglot Dr. Alexander Arguelles. De methode is eenvoudig maar krachtig: je luistert naar native Engelse audio en herhaalt het onmiddellijk hardop — als een schaduw die de spreker volgt met slechts 1–2 seconden vertraging. In tegenstelling tot passief luisteren of grammaticadrills, dwingt shadowing je hersenen en mondspieren om echte spraakpatronen tegelijkertijd te verwerken en te reproduceren. Onderzoek toont aan dat het de uitspraaknauwkeurigheid, intonatie, ritme, verbonden spraak, luisterbegrip en spreekvaardigheid aanzienlijk verbetert — waardoor het een van de meest effectieve methoden is voor IELTS Speaking-voorbereiding en echte Engelse communicatie.