Refine Search

Start simple

You can begin with a short prompt, such as:

DINQ can then ask follow-up questions to clarify the role, skills, evidence, location, seniority, and other search criteria.

How Guided Search works

After you enter a prompt or upload a JD, DINQ checks whether it has enough information to begin searching.

If the details are sufficient, you can launch the search right away. If more clarity would help, DINQ may ask whether you want to refine the search before launch.

When you choose to refine, DINQ guides you step by step with focused questions. If none of the suggested options fit, you can enter your own answer.

Guided follow-up questions

DINQ may ask questions such as:

• What role or direction are you hiring for?
• What key skills are required?
• Do you care more about open source, papers, startup experience, or big tech experience?
• Where should candidates be located?
• How many candidates do you want?
• Are there any must-have or must-exclude conditions?

Example:

DINQ: Which background matters most?

A. Open-source contributions B. Top conference papers C. Big tech experience D. Startup zero-to-one experience E. I want to type my own answer

Guided Search is especially useful for:

• First-time DINQ users.
• Users who are not sure how to describe a technical role.
• Teams with a rough direction but no finalized job description.
• Anyone who wants DINQ to help organize their hiring needs.

Refine through chat

If the initial results are not quite right, you can steer DINQ by adding conversational instructions.

Examples:

• "Find more people with active open-source projects."
• "Don’t focus only on big tech backgrounds. Find people from startups who have built similar systems from scratch."
• "Expand the location filter to include Europe and remote options."

DINQ works best as a collaborative tool that adapts as you refine your search through conversation.

Troubleshooting search results

If your results are too broad, too narrow, or not aligned with your role, try one of these adjustments:

• Broaden constraints: Expand location preferences or relax strict years-of-experience requirements.
• Pivot your focus: Tell DINQ whether to prioritize open-source work, research papers, startup experience, or big-tech engineering background.
• Target specific outputs: Add technical keywords, framework names, paper venues, or open-source project names.
• Iterate via chat: Ask DINQ to "find more candidates like [Name]" or "focus less on [Skill] and more on [Skill]."
• Request an expanded search: Ask DINQ to search more broadly or source a larger batch of candidates.