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Diagnostic Package

Pinpoint the actual root cause behind a specific symptom before anyone spends another dollar guessing at fixes.

Free moderate Service Offers

What it adds

Using your investigation notes, data exports, and past root-cause findings, the builder shapes an offer that isolates the origin of one named problem and returns a defensible causal explanation with evidence. It converts by targeting an active pain the buyer is already feeling and reframing the purchase as risk reduction: cheap investigation now versus expensive wrong fixes later.

What your builder is told to do

8

The actual instructions, in order.
  1. 1

    Inspect the investigation notes and past root-cause write-ups in the source files, and reconstruct the investigative sequence: what data is pulled first, which hypotheses are tested, and how a cause is confirmed rather than assumed.

  2. 2

    Anchor the offer to a symptom the buyer would recognize in their own business, stated as an observable condition rather than as a diagnosis.

  3. 3

    Publish the investigative sequence as ordered stages, showing that each stage either eliminates or confirms a hypothesis. This visible logic is what distinguishes a diagnostic from a guess.

  4. 4

    Describe the deliverable as a causal finding with its evidence attached: the identified cause, the data supporting it, the alternatives that were ruled out, and the recommended direction. Make the ruled-out list explicit — it is the strongest credibility signal available.

  5. 5

    State the data and access required to run the investigation, and be honest about which conclusions become unavailable when specific data is missing.

  6. 6

    Price it against the cost of acting on a wrong assumption, expressed structurally rather than numerically, and state whether the fee applies toward remediation only if the source files support that policy.

  7. 7

    Set responsive behavior: on mobile display the investigative stages as a vertical stepper with each stage expandable to show its hypothesis, and a sticky start-diagnostic action; on tablet pair the stage list with the required-data checklist in two columns; on desktop show a branching hypothesis map beside the stage list, with the deliverable structure shown beneath both.

  8. 8

    End with one action — begin the diagnostic — and state the investigation turnaround in business days drawn from real past runs.

Edge cases it handles

5

The things an agent skips when you only say "build a diagnostic package".
  • The investigation finds multiple contributing causes rather than one — state up front that the deliverable ranks contributors by weight of evidence.
  • The data needed to reach a confident conclusion does not exist — define the instrumentation step and whether it precedes or replaces the diagnostic.
  • The root cause lies outside the provider's domain — commit to naming it honestly and to identifying the right kind of specialist.
  • The buyer has already decided what the cause is — describe how competing hypotheses are tested rather than confirmed.
  • The finding implicates the buyer's own team or process — describe how findings are framed factually and neutrally.

Definition of done

7

Your builder is required to check every one of these before reporting the work finished.
  • The offer targets one named, observable symptom rather than a general review.
  • The investigative sequence is published as ordered, hypothesis-testing stages.
  • The deliverable explicitly includes ruled-out alternatives alongside the identified cause.
  • Required data and access are listed, with the consequences of missing data stated.
  • Turnaround is stated in business days and grounded in past investigations.
  • Mobile stepper, tablet two-column, and desktop hypothesis-map layouts are each implemented.
  • The builder reports which source files informed the investigative stages and evidence standard, and names unresolved assumptions.

Related offer files

How it works

  1. 1

    Copy the link

    Grab the Markdown blueprint URL for this offer type.

  2. 2

    Give it to your builder

    Paste it into Claude Code, Cursor, Codex, or whatever AI builder is already working in your app.

  3. 3

    It maps, then builds

    Your agent reads the blueprint first, then builds the offer into your app around the product, audience, and stack.

Works with your stack

These blueprints are written to adapt. They tell the agent to detect your framework, match your existing design system, and use your source files instead of guessing the offer.

Need it tighter than that? Customize the offer file and tell it exactly which source docs and stack to use.