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“Tell Me About a Time You Made a Mistake”: Best Answers and Examples

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"Tell Me About a Time You Made a Mistake": Best Answers and Examples

Behavioral-based interview questions can make anyone nervous, but proper preparation and understanding go a long way into acing the interview and securing the job.

By prepping for some of the most common behavioral interview questions, such as, “Tell me about a time you made a mistake,” you can answer transparently and confidently. The key? Use logic and problem-solving skills to navigate these tricky behavioral-based questions to impress your potential employer.

In this post, learn the best strategies for responding to behavioral questions that will help you nail the interview and leave a lasting impression.

Why Interviewers Ask Behavioral Questions

A resume will tell an employer a lot about what you have achieved, but it’s not going to show how you think, how you act day to day, or how you respond to issues that arise at work. Behavioral questions help an interviewer see more into your thought processes.

Sure, it can feel vulnerable to share your biggest weaknesses or confess about a time you made a mistake. But the employer is human, too. We all slip up from time to time, and it isn’t the end of the world. What really matters is how you respond. Are you pointing fingers or taking the blame? Do you jump into problem-solving or sulk and complain?

There are many variations of “Tell me about a time you made a mistake” examples, with that exact phrasing being one of the most common interview questions.

It’s crucial to understand that the interviewer isn’t trying to trick you or confess all your wrongdoings. Instead, they just want to see how to respond to different situations. Here are some of the top behavioral-based interview questions and answers, plus tips on understanding the meaning behind the question and advice on what not to say.

1. The Question: Tell Me About a Time You Made a Mistake

What It Means:

Everyone makes mistakes. The employer wants to get an insight into why the mistake happened, but more importantly, how you followed up. Did you own up and take responsibility for the mistake? Are you blaming it on other coworkers? What logic did you follow to clean up the mistake and prevent it from happening again?

How to Respond:

Be honest, and generally, stick to smaller mistakes rather than something large and detrimental to the business.

Start by describing the situation. Explain how the mistake happened, how you identified the issue, and how you fixed the problem. Also, follow up with how you made sure the mistake wouldn’t be repeated by you or anyone else on the team. Did you make documentation explaining how to properly use new software? Did you start asking for help or delegating work when you noticed items slipping through the cracks?

What Not to Say:

It’s best not to outline huge mistakes that would keep you from doing a good job in the new position you are interviewing for.

For example, if you lost a major client, you wouldn’t want to focus on that mistake in a behavioral interview question. Still, be honest — don’t make up a story because it’s easy to get caught in a lie. Don’t say that nothing comes to mind because we all make mistakes from time to time. Also, take responsibility for the error rather than blaming it on your former manager or teammates.

2. The Question: Talk About a Time You Had To Prioritize Some Projects Over Others

What It Means:

Businesses are often working on multiple tasks, short-term goals, and long-term projects all at once. As a result, the employer wants to learn how you manage your time and if you do so wisely. This question can help you discuss your time management skills and how you meet deadlines.

How to Respond:

Outline a time when you were juggling multiple tasks, and share how you decided to work on them to ensure they were all completed by the deadline. Perhaps you delegated or automated some of the easier day-to-day tasks. Share how you chose which projects to focus on completing first.

What Not to Say:

Because this is not a question about weaknesses or mistakes, it’s best not to focus on a time when you had several responsibilities falling through the cracks.

Again, don’t blame others for pushing too much work on you or not upholding their own responsibilities. Instead, stay positive and share how you tackled an overwhelming to-do list. Another thing to remember is not to share times that you came in extra early, worked through lunch, or stayed late. While an employer might like to hear how dedicated you are, it could set you up against lofty expectations that lead to burnout if you get the job.

3. The Question: Tell Me About a Time You Disagreed With a Coworker or Boss

What It Means:

A workplace melds together a variety of minds, but that means disagreements and conflicts are bound to arise.

This question is meant to delve more into how you communicate. The employer hopes to know if you are strong and confident in communicating and working through different ideas or if you tend to either keep quiet or steamroll others with your own opinions.

How to Respond:

Share a time that you had a minor disagreement with someone at work. Perhaps your boss wanted to implement new software that you felt was inefficient, or a coworker created a slogan for a marketing campaign that you felt didn’t work for the audience. Did you speak up, and if so, how? Did you email your thoughts, call a meeting, or a combination?

Explain the situation and how the team compromised. Plus, share the outcome. For example, did you find different software with similar features that boosted team productivity? Did you tweak the slogan and end up with a collaborative and successful marketing campaign?

What Not to Say:

As with any interview question, there’s no need to put others down in your response. Instead, you want to show that you understood other points of view and wanted to communicate and collaborate to find the best solution as a team.

Avoid answering with a scenario where you decided to stay quiet, as this may show that you aren’t confident in your work or aren’t willing to communicate with your colleagues for the good of the business.

4. The Question: Discuss a Time You Received Criticism

What It Means:

Perhaps your boss gave you a negative yearly review, or a customer called and complained about you. You might have had an off day or made some mistakes on a project. It happens to everyone, but what matters to a potential employer is how you reacted and rectified your behaviors moving forward.

How to Respond:

Focus on more minor critiques, such as missing a deadline, not delegating work, or receiving a complaint from a customer. Share how you responded—did you apologize or show appreciation for the feedback? Then, outline how you decided to improve yourself.

For example, perhaps you received a critique for not being up to speed on SEO, so you decided to take a certification class and boosted that skill.

What Not to Say:

The answer should focus on a time you received criticism at work rather than outside of work. Don’t bash the person who gave you a negative critique; instead, show that you understand where the criticism was coming from and how you initially responded. Then, delve into what you did to improve your actions and turn the criticism into praise in the future.

5. The Question: Share a Time You Motivated Your Team

What It Means:

This is a question about your leadership style. The interviewer wants to know how you inspire your team to be productive and successful, even if you aren’t necessarily interviewing for a management position.

How to Respond:

Focus on a time that you motivated your team to hit a big goal, meet a tight deadline, or boost sales or productivity.

Did you offer rewards or words of encouragement? Did you jump in to lend a hand even when it wasn’t technically your job or responsibility? Discuss how you got your team to meet an important target, and share the specifics of how you met or exceeded that target without sacrificing quality work.

What Not to Say:

You don’t want to show that you are some malevolent leader that was unnecessarily strict to push coworkers to work harder. Of course, you also want to focus on motivators that were successful. You should have solid evidence that your leadership actions produced real results.

Answer behavioral questions thoughtfully, honestly, and confidently to impress interviewers.

Behavioral-based interview questions aren’t meant to leave you stumped or make you look bad. Instead, they’re a way for an interviewer to get to know how you communicate, respond to problems, and how you think.

It’s a great way to give depth to who you are outside of the resume, and you can really shine if you remain open, honest, and upbeat in your responses.

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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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