Table of Contents
- 1 How would you deal with a client who has unrealistic expectations?
- 2 Which type of software problem occurs when a process does not do what it was intended to do?
- 3 How do you deal with vague requirements?
- 4 How do you manage unreasonable clients?
- 5 What are the main software problem during its development?
- 6 How do you deal with difficult complainants?
- 7 How do you build rapport with difficult clients?
- 8 What is the problem of model performance mismatch?
- 9 How do I know if my model has overfit the data?
- 10 What is model overfitting in machine learning?
How would you deal with a client who has unrealistic expectations?
Understand What’s Driving Them.
Which type of software problem occurs when a process does not do what it was intended to do?
1. Functional errors. This is a broad type of error that happens whenever software doesn’t behave as intended. For example, if the end user clicks the “Save” button, but their entered data isn’t saved, this is a functional error.
How do you deal with customers making unrealistic demands?
But there are things you can do to make it easier:
- Empathize. Article continues after video.
- Lift the veil. Once you understand your customer’s point of view you also need to help them understand yours.
- Ask why.
- Explore alternatives.
- Weigh the consequences.
- Consider a one-time deal.
- Apologize.
- Say thank you.
How do you deal with vague requirements?
- Go for Agile. Whether it’s having unclear requirements, or lack of customer involvement in requirements development, it looks like agile practice can go a long way in mitigating risks.
- Try phased.
- Add to risk.
- Make assumptions.
- Communicate with stakeholders.
- Summary.
How do you manage unreasonable clients?
8 Ways to Deal With a Difficult Client
- Choose your words carefully.
- Add FroMLE to the end of ignorant statements.
- Be very specific, use measurables.
- Acknowledge, but don’t agree.
- Pin down the outcome.
- Use visual reminders and document it.
- Recognize a real personality conflict.
- Fire them.
How do you manage unrealistic expectations?
Catch your unrealistic expectations with curiosity and humor. Morris suggested getting to know your expectations. Keep a list of every unrealistic expectation you have this week. Don’t beat yourself up when you catch one.
What are the main software problem during its development?
In general Software development company faces many issues arise during the process of creating software. Some of these issues are related to coding and configuration errors, lack of testing, lack of formal documentation, and so on.
How do you deal with difficult complainants?
Handling Customer Complaints
- Actively listen and makes notes.
- Acknowledge the customer’s concerns and thank them.
- Apologise for the impact or the inconvenience caused.
- Ask questions and summarise your understanding.
- Agree and explain the actions you will take as a result of their complaint.
- Ask for feedback on the next steps.
Which method is useful in determining requirements if a client is unclear about them?
Figure 7.4 image description:
| Criteria | Weight | Game Access |
|---|---|---|
| Search Option | 5\% | 50 |
| Games available for all platforms currently on the market including school learning systems. | 10\% | 30 |
| Longer rental periods (1 to 2 weeks) | 5\% | 20 |
| Sidebar with categories, such as most popular, multiplayer, and just released. | 5\% | 50 |
How do you build rapport with difficult clients?
The general idea is that when you want to build rapport with someone, you either: Mirror their body posture (for instance, subtly cross your arms a moment after they’ve crossed theirs), speaking tone and pace, and the kind of language they use (sprinkling their unique words and phrases into your own communication).
What is the problem of model performance mismatch?
The problem of model performance mismatch that may occur when evaluating machine learning algorithms. The causes of overfitting, under-representative data samples, and stochastic algorithms. Ways to harden your test harness to avoid the problem in the first place. This post was based on a reader question; thanks!
How to answer ‘clients can be difficult?
When your interviewer says- “Clients can be difficult. Describe a situation when you had to handle someone like this-” start your answer by describing the Situation or Task. Be specific about this; you don’t want to give a general answer. Provide enough details to let the interviewer really visualize what was going on.
How do I know if my model has overfit the data?
One simple (but not easy) way to diagnose whether you have overfit the training dataset, is to get another data point on model skill. Evaluate the chosen model on another set of data. For example, some ideas to try include: Try a k-fold cross-validation evaluation of the model on the test dataset.
What is model overfitting in machine learning?
1. Model Overfitting. Perhaps the most common cause is that you have overfit the training data. You have hit upon a model, a set of model hyperparameters, a view of the data, or a combination of these elements and more that just so happens to give a good skill estimate on the training dataset.