Business issue diagnosis

See whether mathematical modeling fits your planning work.

Answer six questions about the task, current process, scale, constraints, data, and goals. You will see a preliminary assessment before entering any contact details.

Time
5 min
Six guided questions.
Contact
Not required
The result appears before the form.
Output
4 paths
Prototype, preparation, rules, or review.

Before you start

Get clear next steps—not a vague yes or no.

This is a screening tool, not a sales promise. The assessment, result sharing, and consultation request remain separate steps.

Result first

The result appears on screen before company, name, or email fields are shown.

No promises of outcomes

The result states what to verify next. It does not promise an improvement number or implementation scope.

Analytics exclude personal information

Analytics events keep only categories, counts, and result labels. Free text and contact details are not copied into events.

Step 1 / 6 No contact details are required to see the result.
What do you decide repeatedly?

Choose the repeated decision that best matches the work. If none fits, choose other and describe the case later.

Good fit signals

The best candidates are repeated decisions with conditions.

Mathematical systems are strongest when a repeated decision has visible conditions, measurable outcomes, and enough examples to compare.

Repeated decisions

The same type of plan is rebuilt daily, weekly, or monthly.

Conditions and trade-offs

Many rules must be satisfied while preferences can be traded off.

Frequent changes

People correct plans because absence, delay, stockout, or rush work changes the situation.

Transparent criteria

A diagnosis should explain what to confirm next.

This is not a sales score. The result is broken into six signals, showing what is promising and what needs more preparation.

01

Repeatability

Repeated planning is easier to model than one-time judgment.

02

Condition complexity

The page separates hard constraints, preferences, and exceptions instead of flattening them into a score.

03

Data readiness

A representative table or export is enough to begin, but invisible rules must be written down.

04

Objective clarity

A useful prototype needs comparison points such as time saved, fewer missed visits, or better load balance.

05

Scale

Resource and item counts change the appropriate first step.

06

Change pressure

Urgent rework or frequent manual corrections can justify a smaller early prototype.

Preparation guide

Start with a reproducible sample case.

You do not need a finished database. The first useful material is a representative case that reproduces the current decision.

Information handling

Diagnosis answers and consultation submission are separate steps.

The assessment runs in the browser, while consultation submission is a separate later step. The page makes that boundary clear throughout.

Browser-side result

The wizard and result calculation run in the browser. The page does not send answers while you are only diagnosing.

Limited attachments

Files are optional and checked for type, count, and size before a consultation request is submitted.

Separated submission

Your assessment remains separate from any consultation request.

Anonymized sample first

The recommended first material is an anonymized sample. Personal information and raw confidential records are not required for the first review.

FAQ

Questions about the modeling readiness assessment

Does the diagnosis guarantee that development is possible?

No. The result is a preliminary assessment. It does not guarantee feasibility, improvement, cost, or contract scope.

Do I need to enter contact details before seeing the result?

No. The result appears before the contact form. Contact details are requested only if you choose to discuss the result.

What data should I prepare first?

A representative case, current plan, and the rules used to correct it are more useful than a perfectly cleaned database.

Can I attach files?

They are optional and limited. Do not attach personal information or confidential raw files; anonymized samples are enough for the first discussion.

Is mathematical optimization always the right answer?

Not always. If the work is simple or rare, ordinary rule automation or workflow design may be a better first step.

Can I share the result internally?

Yes. The diagnosis result can be downloaded as JSON or copied as a short summary for internal discussion.

Can another page prefill the diagnosis?

The page reads only whitelisted query parameters such as task and readiness. It does not rewrite the URL on first access.

How is this different from the regular inquiry form?

This assessment is separate from the later consultation request, so it does not alter the existing contact form.

Start small

Do not start by asking whether everything can be automated. Start by choosing what to verify first.

Business issue diagnosis Start diagnosis