Quick Search

What is Quick Search?

Quick Search is Prizston’s AI research tool for taking a first look at a business question. You do not need a finished idea to use it. Start with an industry, a group of customers or a problem you have noticed.

For example, you could ask what small online stores struggle with and get several problems to explore. If you already have an idea, you could ask how customers handle that problem today. The answer depends on your question and can include links to supporting sources.

When should you use it?

Use Quick Search when you want to learn more before deciding what to build. You might be at any of these points:

• You know who you want to help, but are still looking for a problem to solve.
• You have an idea and want to find out what people already do about the problem.
• You have several possible directions and want to compare them before committing your time.
• You want to look into what could make an idea difficult to deliver, such as the tools it would need to work with.

How to start a Quick Search

1. Sign in to Prizston and select Search under Research Tools. You can also select Start Quick Search from Home.
2. Type what you want to find out. You can write a normal question; there is no special prompt format.
3. Select Search or press Enter. Use Shift + Enter if you want to add a new line.
4. When the search finishes, open View Quick Search result.

Not sure what to ask? How to write a Quick Search question has examples you can adapt to your idea or the customers you want to help.

Example: finding software opportunities for online stores

Here is a summary of a completed Prizston search. The original question and answer were in Bulgarian; the example below is in English.

Find five specific, recurring problems faced by small online stores that could be solved with software.

What the search returned

• Inventory mismatches: stock counts differ between sales channels, so a store can accept an order for a product it no longer has.
• Delivery enquiries: owners keep checking tracking numbers to answer customers asking where their orders are.
• Manual returns: return requests, shipping labels, refunds and stock updates are handled in separate steps.
• Abandoned checkouts: shoppers leave without completing a purchase, and the store has little information about why.
• Repeated customer questions: owners answer similar questions about products, delivery and returns across several channels.

These were five directions to look into, rather than a ranking of the biggest problems for every store. If inventory mismatches caught your attention, you could ask a follow-up about small Shopify stores that also sell through another channel.

What should you do with the result?

Read all the findings before choosing an idea. Open the sources behind the claims that interest you, then decide which direction you want to understand better.

For help with that step, read How to use your Quick Search results. It walks through checking sources and deciding which search to take into Deep Research.

Quick Search and Deep Research

Quick Search helps you explore the options. When you want a closer look at a selected search, Deep Research adds a detailed assessment with a decision summary, market strength and feasibility scores, risks and a recommended next test.

You can see both stages in the same project. If you are looking for the decision panel or the scores, those appear in the Deep Research section.