How to Write a Technical Brief That Gets Accurate Quotes

A technical brief that gets accurate quotes is one that communicates the problem clearly enough that an agency can scope the solution — not one that describes the solution so precisely that scoping is unnecessary. The distinction matters. Most bad briefs describe interfaces and features; good briefs describe problems and users.

If you’ve sent a brief to three agencies and received three wildly different quotes, the most likely explanation is that the brief was ambiguous. Each agency scoped a different version of your project — and gave you the price for that version.

PostMVP reviews dozens of briefs each year. This is what separates the ones that generate useful responses from the ones that generate guesses.

Step 1: Start with the Problem, Not the Solution

Begin your brief with a description of the problem you’re solving — not the software you want to build. This feels counterintuitive, but it’s the difference between a brief that constrains agencies and one that opens up the space for them to give you good advice.

Write:

• “Our clients currently have no way to track delivery status after placing an order. They call us 8–10 times per day asking for updates, which is taking 3 hours of staff time. We need to solve this.”

Not:

• “We need a mobile app with real-time order tracking, push notifications, and a customer portal.”

The first version lets an agency respond with the right solution — which might be simpler or more complex than you imagined. The second version forces them to price what you described, whether or not it’s the right answer.

Step 2: Define Your Users

Describe who will use the software and what they currently do. Not personas — actual descriptions of the people involved, their technical literacy, and their context.

Include:

• Primary user — who uses this most? What’s their technical comfort level?
• Secondary users — admin, internal staff, other roles
• Volume — roughly how many users, and what usage patterns do you expect?
• Context — desktop at a desk, mobile in the field, both?

This informs everything from technology choices to UI complexity to performance requirements.

Step 3: Describe What Exists Today

Context about the current state is as valuable as a description of the desired future state. What system does this replace? What data exists? What processes does it integrate with?

Relevant current state information:

• Existing software the new system will integrate with (name the software)
• Current manual processes the software will automate
• Data that needs to be migrated or imported
• APIs or third-party services already in use
• Technology decisions already made (if any)

If you’re building from scratch with no existing system, say so explicitly. “We have no existing system” is useful information — it tells the agency there are no legacy constraints but also no existing data model to start from.

Step 4: List Your Constraints

Constraints narrow the solution space and make estimates more accurate. Without them, the agency has to make assumptions — and their assumptions might not match yours.

Common constraints worth including:

• Timeline — when does this need to be live, and why?
• Budget range — what are you prepared to spend? (See FAQ above)
• Technology — any mandatory stack requirements? Existing infrastructure to integrate with?
• Regulation — GDPR, FCA, NHS data standards, UAE PDPL, sector-specific requirements?
• Geography — UK only? Multi-language? GCC market requirements?
• Team — will an in-house team maintain this post-build? What’s their stack?

Step 5: Define Success

What does a successful outcome look like, in measurable terms? This gives the agency a target that isn’t just “works correctly” — it’s a specific business outcome.

Examples of measurable success criteria:

• “Reduces inbound customer calls by 60% within 90 days of launch”
• “Processes 500 concurrent transactions without latency above 2 seconds”
• “All data stored on UK servers, GDPR-compliant from day one”
• “Live within 12 weeks to meet a contractual deadline”

These criteria also become the basis for acceptance testing — so defining them upfront saves a conversation later.

Step 6: Include What You Know About the Solution (Without Over-specifying)

After defining the problem, users, context, and constraints, it’s appropriate to describe what you think the solution looks like — with the caveat that you’re open to alternatives. Agencies want to know your thinking; they don’t want to be constrained by it unnecessarily.

Structure this as:

• “We’re imagining something like X, but we’re open to alternatives if there’s a better approach”
• “We’ve assumed we need [feature], but we may be wrong — please tell us if you’d solve it differently”

This gives the agency your starting point without treating it as a specification.

Step 7: Attach Supporting Materials

If you have them, include:

• Wireframes or sketches (even rough ones)
• Existing brand guidelines
• Competitor products to reference for tone/approach
• Data schemas or example data
• Relevant regulatory documents

Don’t include: marketing decks, investor presentations, lengthy company histories. An agency is quoting to build software, not to understand your go-to-market strategy.

What a Good Brief Produces

A brief written this way will generate responses from agencies that:

• Ask intelligent questions about the problem, not clarifications about the interface
• Quote comparable scopes (enabling fair comparison)
• Provide a range with confidence levels for lower-certainty areas
• Recommend a scoping phase if the requirements need more definition

PostMVP’s process after receiving a good brief is to schedule a 60-minute call, review the brief together, ask clarifying questions, and then produce a scoping proposal — not an instant fixed-price quote.

In Summary

A technical brief gets accurate quotes when it describes the problem clearly, defines the users, lists the constraints, and articulates what success looks like — before describing the solution. PostMVP uses briefs as the starting point for a proper scoping process, not a substitute for one.