• Ask specific questions: The more precise the instruction, the better the result.
• Work iteratively: Check the first answer, readjust, ask further questions.
• Provide context: Specify prior knowledge or desired style.
  Example: Instead of just "Write a text about sustainability", it is better to say "Write a LinkedIn post about sustainability in companies, factually and with 3 tips".

Yes, ChatGPT can make mistakes ("hallucinations"), display outdated information or create content that needs to be critically reviewed. Furthermore, it does not replace human expertise, but supports it.
Example: If ChatGPT answers a medical question, the answer should always be validated by a medical specialist.

ChatGPT is suitable for many tasks:

• Customer service (FAQ answers or chatbots)
• Content creation (texts, blog articles, social media posts)
• Translations or text optimisation
• Data analysis or idea collection
  Example: An HR team uses ChatGPT to suggest questions for job interviews. An editorial team uses it to develop article ideas more quickly.

There are different variants:

• GPT-3.5: Fast, inexpensive, good for simple tasks.
• GPT-4: More precise and creative, ideal for complex texts or strategies.
• GPT-4 Turbo: Same quality as GPT-4, but more efficient, with greater context.
• ChatGPT Enterprise: Specially designed for companies with advanced data protection and administration tools.
  Example: A student uses GPT-3.5 for summaries, while a marketing agency uses GPT-4 Turbo for detailed campaign ideas.

ChatGPT is an AI-supported language model that reacts to text input and generates responses in natural language. It can answer questions, write texts, develop ideas or even explain complex topics.
Example: You type in "Write me an introduction for a business plan in the field of e-commerce" - and immediately receive a suggestion that you can customise further.

By ensuring transparency, freedom of choice and fair incentives. Users should understand how mechanisms work and be able to make their own decisions at any time - this creates trust and long-term customer loyalty.

When used correctly, dopamine design creates motivation, orientation and enjoyment: gamification can lead to more interaction, reward loops retain users in the long term, and microinteractions ensure intuitive operation and feedback.

Dark patterns are manipulative design tricks that trick users into taking actions that they would not consciously take - e.g. hidden costs, hard-to-find cancellations or automatically activated subscriptions.

No. Dopamine design can be used responsibly to promote positive user experiences. It only becomes manipulative when users are deliberately pressurised into making decisions or addictive mechanisms are used - such as dark patterns.

Dopamine design describes digital design that specifically appeals to the brain's reward system - for example through playful elements, rewards or personalised content - in order to activate and retain users.

The best way to do this is through conscious content design: integrate language into the UX strategy at an early stage, develop clear guidelines (e.g. for microcopy and tonality) and regularly test how users react to certain texts. Even small text modules should receive just as much attention as design or function.

Tonality describes the linguistic style and the "character" of a brand. It can be relaxed, serious, humorous or empathetic - the main thing is that it suits the target group and remains consistent across all touchpoints. The right tone of voice creates trust and brand loyalty.

There is no "right" or "wrong", but some variants (e.g. gender colon) are considered less accessible for screen readers. It is important to choose a form that suits the brand - and to use it consistently. Consistency ensures clarity and professionalism.

Gendering is not mandatory, but it sends a strong signal for inclusion. It shows that all users are being addressed - regardless of gender or identity. However, those who choose to do so should use gender consistently and stylistically consciously to ensure comprehensibility and legibility.

Microcopy are short, functional texts in digital interfaces - such as button labelling, form help or error messages. They guide users through digital processes and help them make decisions. Good microcopy provides orientation, trust and a smooth user experience.