On Upwork, your main cover letter isn't the only thing clients see. You've also got the chance to answer specific questions — provided, of course, the client posts them. 📝

You've definitely run into these. They're the questions that pop up at the end of a job post, usually tagged with, "You will be asked to answer the following questions when submitting a proposal." 🤔
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🖼️ While some questions are auto-suggested by Upwork, others are custom-written by the client. Here's what that looks like from the client's perspective:

When a client opens your proposal, your answers to these questions show up front and center. Like here: "Cover Letter" begins with answers, not with the cover letter itself.
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​Here's a clear example of how the older version of GigRadar and some inferior software handle client questions: The question "Describe QA approach" is often encountered, so it can be prepared in advance:

On GigRadar, you'll find two main fields related to these questions:

These are the standard questions Upwork often asks, tailored to the type of job you're applying for. By predicting these questions, you can prepare your answers in advance, giving you a quicker start in the application process.

When we say "Most Frequent Questions," we're talking about questions that often appear for the specific job category you're targeting.

For instance, if you're using GigRadar to scan for back-end development jobs, GigRadar will automatically list the questions that usually appear in the back-end development category on Upwork job posts.

On the other hand, Upwork also has its own algorithm, but it's quite predictable and simple: certain categories = certain questions, nothing more.

GigRadar analyzes questions that are frequently asked within each category, and provides you with a list of common questions for the job category you've selected.

DAT answers questions that are written by clients. We cannot know them, we cannot predict them. This is where Sardor AI comes in. It's trickier to predict unique client questions, but Sardor AI is up to the challenge. 🤖

At its simplest, typing "[answer]" prompts Sardor to draft a suitable response. But you can also customize prompts for more nuanced replies. ✏️

You already know the question. Our scanner even finds jobs that include it. So it's borderline criminal not to use prompts here. 😉

For instance:

❓ Question: Describe your recent experience with similar projects.
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🧠 Prompt: [Delve into freelancer's profile and portfolio to highlight the most relevant experiences, ensuring alignment with the client's requirements]
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💥 Outcome:

Let's get a bit more creative than just typing "[answer]." For example, we've used:

[To answer the following inquiry, please integrate details from my profile and portfolio. Use the information in the training data to ensure the response appears human-like, aligns with freelancer's personal experience, and addresses the question thoroughly and accurately]

​💥 Outcome:

So, when a new job posting comes up, Sardor AI uses this meta-prompt to meticulously sift through all the details in the job description, your profile, portfolio, and even existing pieces of your cover letter.

The objective is to create an answer that is both informed and highly tailored to the specific job. By using the meta-prompt, the AI ensures that every piece of relevant information is taken into account, making your answer as comprehensive and appealing to the client as possible.
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This way, you’re not just answering a question; you’re answering it in the most optimized manner, thereby boosting your chances of catching the client’s attention.

For better results with Sardor AI, you can use your prompts more effectively. Be specific in your prompts to guide Sardor on what to focus on. You can also set limitations to narrow down how Sardor answers. Your understanding of how this works is crucial.

See below for examples of more detailed prompts: