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How to Evaluate a Software Development Estimate (Even If You're Not Technical)

February 1, 2026 · 2 min read
How to Evaluate a Software Development Estimate (Even If You're Not Technical) - A practical guide to understanding developer estimates without needing to know how to code.

You’ve received two estimates for your project. One says $8,000, the other says $40,000. Both developers seemed competent. How do you know which one is right?

The Problem with Black-Box Estimates

Most estimates you’ll receive are just a number. Maybe a timeline. But you have no way to understand why that number is what it is.

This is a problem because:

  • You can’t compare estimates meaningfully
  • You can’t tell if the developer understood your requirements
  • You have no way to adjust scope to fit your budget

What a Good Estimate Should Include

A transparent estimate breaks down the work into individual tasks. Each task should have:

  1. A clear description — What exactly is being built
  2. A time estimate — How long it will take
  3. Dependencies — What needs to happen before this task
  4. Assumptions — What the developer is assuming about your requirements

Red Flags in Estimates

Watch out for:

  • Round numbers with no breakdown (“This will be $15,000”)
  • Vague timelines (“2-6 months”)
  • No questions asked before estimating
  • Pressure to decide quickly

Questions to Ask

Before accepting any estimate, ask:

  • “Can you break this down by feature?”
  • “What’s included in testing and bug fixes?”
  • “What happens if we need to change something mid-project?”
  • “What’s your process for keeping me updated?”

Special Considerations for AI Projects

If your project involves AI (like LLMs, RAG, or AI Agents), the estimate should also account for:

  • Data Preparation: Cleaning and structuring your data for the AI.
  • Model Tuning: Adjusting the AI to work specifically for your use case.
  • Evaluation: Testing the AI’s answers for quality and accuracy.
  • Token Costs: Estimating how much you’re likely to pay for the AI’s “brainpower”.

The right developer will appreciate these questions. They show you’re serious about the project and want a real partnership.

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