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AI & Machine Learning

How SpiderHunts Scopes a Machine Learning Project

What happens when you ask us about a machine learning project - what we ask, what we look at, and how we decide whether to take it on.

Updated 2 min readBy SpiderHunts Technologies

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Quick answer — TL;DR

We start with the decision you want to change, look at a sample of real data before quoting anything substantial, and propose a short fixed-price assessment before any build. If the data will not support the idea, we say so at that point rather than later.

The first conversation

We ask about the decision rather than the technology. Which recurring decision do you want to improve, who makes it, how often, and what does it cost when it goes wrong?

That usually takes half an hour and frequently changes the shape of the project. It also occasionally ends it, when the honest answer is that a report, a rule or a process change would solve the problem without a model.

We would rather establish that in the first conversation than three months in.

What we ask to look at

  • Which systems hold the relevant data, and roughly how far back
  • Whether outcomes are recorded - the single most important question
  • A sample of real data, under an appropriate agreement
  • How the decision is made today, and how well that works
  • Where a prediction would have to appear for anyone to act on it

The sample matters most. Quoting without seeing data means pricing in contingency for problems that may not exist, or quoting optimistically and revising later. Neither serves you well.

A short assessment before any build

For anything beyond the smallest project we propose a fixed-price assessment first: a few weeks, a defined deliverable, and a decision point at the end.

  1. What data exists, its condition, and what is missing.
  2. How well your current method performs, measured properly.
  3. An early model on real data, with an honest statement of what it achieved.
  4. What that improvement would be worth, using your numbers.
  5. A recommendation - proceed, proceed differently, or stop.

That last line is not a formality. Recommending not to proceed is a normal outcome, and a supplier who never does it is not assessing anything.

What we will tell you plainly

If we findWe will say
Outcomes are not recordedStart recording; come back in a year
A rule would work as wellBuild the rule, not a model
The improvement is real but smallIt may not be worth the running cost
The data cannot be joinedThat is the first project, not this one
It looks genuinely worthwhileHere is the scope, cost and what it needs from you

We have turned down projects on each of the first four grounds. It is a better outcome for both sides than a build that disappoints.

What we need from you

Access to real data early, someone in the business who will own the output, and a willingness to measure the current method honestly. Those three do more for a project's chances than anything we bring.

If you want to talk about a specific problem, use the form on this page - tell us what you are trying to predict and roughly what data you hold, and a senior engineer will come back with an honest view.

The most useful thing we can do in week one is tell you if this will not work.

FAQ

Frequently asked questions

The questions readers ask us after this guide.

Still have a question?

Ask us directly — a senior engineer will get back to you.

Ask about your project

How long does the first conversation take?

About half an hour. We are trying to understand the decision you want to change, not sell you a platform.

Do you need our data before quoting?

For anything substantial, yes - a sample under an appropriate agreement. Quoting without it means pricing uncertainty rather than work.

Will you tell us not to proceed?

Yes, when that is the honest answer. We would rather say it at assessment stage than deliver something that disappoints.

What does an assessment cost?

It is fixed price and a small fraction of a build, scoped to your situation. Tell us the problem and we will quote it.

Keep reading

More on AI & Machine Learning

Start here

Want machine learning project details from us?

Tell us what you are trying to predict and roughly what data you hold. We will come back with an honest view on whether machine learning is the right tool, what the work would involve and a realistic cost range. If a spreadsheet would do the job, we will say so.

  1. You tell us what you needTwo minutes on the form, or a message on WhatsApp.
  2. A senior engineer reviews itAnd comes back with questions, a realistic range and an honest view on fit.
  3. Free 30-minute scoping callWe talk through scope, options and a realistic estimate — with no obligation.
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Send a short brief and we will come back with an honest view and a realistic range.

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