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Conversion Optimization Sprint

Lift a single funnel step in one focused window using tested changes, measured against a locked pre-change baseline.

Pro moderate Service Offers

What it adds

Drawing on your funnel analytics, session data, and past test results, the builder produces a sprint offer targeting one specific conversion step, with diagnosis, prioritized changes, and before/after measurement built in. It converts by narrowing to one step — the specificity makes the promise credible where broad optimization claims are not.

What your builder is told to do

8

The actual instructions, in order.
  1. 1

    Inspect the funnel analytics and prior test results in the source files, and identify which single step shows the largest drop-off with sufficient volume to measure a change reliably. Name that step as the sprint's sole target.

  2. 2

    Write the promise around that one step: a defined window of work aimed at the specific transition where buyers are being lost, with results measured rather than asserted.

  3. 3

    Publish the diagnostic phase: the quantitative and qualitative inputs reviewed and the friction categories examined, so the buyer sees analysis precedes changes.

  4. 4

    Define the baseline protocol: the period used, when it locks, and the rule that no changes ship before it is captured. State this as the mechanism that makes any later claim verifiable.

  5. 5

    Describe the change program: how many changes are prioritized, the criteria for choosing them, whether they ship as a batch or sequentially, and how each is instrumented.

  6. 6

    Specify the readout: the comparison method, the observation period, and the commitment to report changes that did not help alongside those that did.

  7. 7

    Set responsive expectations: on mobile show the targeted funnel step as a highlighted node in a vertical funnel with the diagnostic inputs collapsible and a sticky booking action; on tablet show the funnel beside the change list; on desktop render a full funnel diagram with the target step emphasized, the baseline protocol in a side panel, and the readout format beneath.

  8. 8

    Close with one action — book the sprint — and state the required minimum volume through the target step, drawn from real analytics.

Edge cases it handles

5

The things an agent skips when you only say "build a conversion optimization sprint".
  • Traffic through the target step is insufficient for a readable result — state the volume threshold and recommend traffic work first.
  • The real problem sits upstream of the target step — commit to reporting that honestly rather than optimizing the wrong step.
  • Other teams change the funnel during the sprint — define the change-freeze requirement for the measured path.
  • Seasonal shifts distort the comparison — describe how the baseline period and comparison account for it.
  • Results are inconclusive at the end of the window — state what the buyer receives and what the recommended next step is.

Definition of done

7

Your builder is required to check every one of these before reporting the work finished.
  • Exactly one funnel step is named as the target, selected from real drop-off data.
  • The baseline lock protocol is published as a precondition to shipping changes.
  • Change selection criteria and instrumentation approach are stated.
  • The readout commits to reporting unsuccessful changes as well as successful ones.
  • Minimum volume qualification through the target step is stated, and no lift figures are invented.
  • Mobile vertical funnel, tablet funnel-plus-changes, and desktop full-diagram layouts all behave as specified.
  • The builder reports which source files identified the target step, and lists unresolved measurement 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.