For commerce agencies & developers

Your client’s storefront.
A clearer picture.

Turn storefront errors, slow scripts and shopper friction into a client review with clear priorities, developer evidence and release follow-up.

northstar-outdoorIllustrative example
01 / CLIENT REVIEWDF-1876

Cart update fails after
a delivery change

Estimated revenue impact$18,420Measured · Selected 30 days
Affected sessions486One recurring issue

THE NEXT DECISIONPrioritize the delivery selector investigation.

02 / DEVELOPER HANDOFF
Start at the captured failure.Mobile Safari · storefront@2.18.4
cart.ts:184rate.handleUploaded source map
Technical context, ready to copy.

From triage to follow-through

A shared picture.
A practical handoff.

01 / AGREE THE PRIORITY

Make the case for the fix.

Connect journey drop-offs, slow scripts and failures to affected shoppers. Use revenue estimates to inform the priority. Measured and directional amounts stay clearly labelled so your client can judge their strength.

See issue priorities →
02 / BRING THE CONTEXT

Start closer to the failure.

Open the observed journey, browser and release. Open the technical brief as a Linear or GitHub issue, or copy it into your ticket or coding assistant; connect source maps for original code context.

Connect source maps ↗
03 / WATCH THE RELEASE

Keep the loop open.

Review early release changes and returning issues after a fix. Explain what you observed to your client, including when the sample is still building.

See release evidence →

Your next client review

Show the work.
Make the progress visible.

Turn the investigation into a conversation your client can follow: why this issue, what your team will do, and what you observed after the change.

A reusable manual template. No account required.

  1. 01
    The business question

    What changed in conversion, traffic or the journey?

  2. 02
    The case for the fix

    One issue, affected shoppers and the available revenue evidence.

  3. 03
    The action and the owner

    A clear next step with the Developer brief attached.

  4. 04
    The follow-through

    The release, relevant traffic and observed recurrence.

Start with one client

Bring a real problem
and the person who can fix it.

See how Dozenfold fits your client work. We’ll walk through the workflow and discuss setup for your client’s store.

  1. Book a demo for your client’s store. Tell us you are the agency or developer and which journey needs attention.
  2. Install with the merchant’s approval. Agree the integration and access with their developer, then verify incoming evidence.
  3. Review a finding together. Choose an action, hand it to development and review recurrence after an agreed fix.

Plans for your store: Estimate your price and contact us to agree scope and terms; every plan includes the core investigation workflow and one store. Start with one agreed client store and bring the developer who owns its changes.

CONNECTED PRODUCT WORKFLOWS

Your next client review can start anywhere.

Investigate a slow app script, a browser-specific failure or the impact of a release.

Let’s make the first fix useful

One store.
A closer working relationship.

Have a client with recurring storefront problems? Tell us about your role and the problem in the demo booking. We’ll work out the fit together.

Book a demo

DF-1876 / REVENUE EVIDENCE

A priority you can look into.

Cart update fails after a delivery change

Measured loss$18,420One issue · Selected 30 days · USD

Illustrative calculation.
No live store connected.

486Affected sessions
480Compared with clean sessions
9,720Clean sessions

What happened after the failure?

Affected sessions hit the failure within 30 minutes of entering a journey stage. Clean sessions reached the same stage on the same device and environment without this issue. Purchases count in the same 30-minute window for both.

With this issue10%48 / 480 purchased
Clean sessions34%Same stage, device and environment mix
The interval decides the label.

The pooled gap is 24.0 percentage points with a 95% interval of 21.2–26.8 points. The whole interval is above zero, so the loss is measured. Strata where affected shoppers converted better pull the gap down instead of being ignored.

See the inputs and calculation

480 compared sessions × 24.0% conversion gap = 115.2 missed purchases × $159.90 clean average order value ≈ $18,420.

The order value uses complete clean-session orders in USD. This example has uniform, full capture. The 6 affected sessions without a comparable clean group are not priced.

This estimates a difference associated with the issue. It does not identify confirmed lost orders or establish cause. The selected 30 days are the evidence scope, not a monthly projection.

Read the complete methodology ↗

DF-1876 / DEVELOPER HANDOFF

Take the evidence with you.

A technical brief for your developer or coding assistant. Review it here, then copy or download it into your own workflow.

Illustrative issue · No shopper identity or revenue figures
# Dozenfold — example developer brief

Illustrative product-tour data. This is a fictional issue, not a customer incident.
Use it to see the kind of evidence you can take from Dozenfold into your team's workflow.

## Issue

DF-1876 — Cart update fails after a delivery change

- Error: TypeError: Cannot read properties of undefined
- Observed environment: production, Mobile Safari
- Release: storefront@2.18.4
- Affected surface: storefront cart delivery selector

## Observed journey

1. 12:41:58 — Viewed /products/ridge-jacket
2. 12:42:11 — Added a variant to the cart
3. 12:42:46 — Changed the cart delivery option
4. 12:42:47 — POST /cart/update failed; TypeError captured

These are captured events, not a screen recording or a guaranteed reproduction.
No shopper identity, typed value, request body or response body is included.

## Original source context

Available in this example because a usable source map was uploaded.

```ts
// cart.ts:184 — illustrative source
const rate = rates.find(matchRate);
setPending(true);
rate.handle; // captured failing line
await updateCart(rate);
```

## Investigation starting point

Inspect how the delivery selector handles a missing matching rate. Check the captured browser
and release context against your implementation. The evidence locates an observed failure;
it does not establish its root cause or prescribe an automatic fix.

## Product guides

- Developer evidence: https://docs.dozenfold.com/docs/developer-evidence
- Source maps: https://docs.dozenfold.com/docs/source-maps
- Sessions and journeys: https://docs.dozenfold.com/docs/sessions-and-journeys

The live product's brief is scoped to the selected issue and occurrence. This public example
contains no live investigation link and no financial estimate.

DF-1876 / CLIENT REVIEW

A decision you can explain.

Client review: cart delivery update

Northstar Outdoor · DF-1876 · Selected 30 days

Illustrative working example prepared for a client conversation. This is not a customer result or an automatically generated client report.

The decision

Prioritize investigation of the cart delivery selector with the team responsible for the storefront. Shoppers changing a delivery option encounter a recurring failure, concentrated on Mobile Safari in storefront@2.18.4.

Why this issue

  • 486 affected sessions in the selected period.
  • $18,420 measured revenue loss, associated with this issue in USD.
  • 480 affected sessions were compared with clean sessions at the same journey stage, device and environment. Within the same 30-minute window, 10% of affected sessions purchased against 34% of clean sessions.
  • The pooled gap is 24.0 points with a 95% interval of 21.2–26.8 points, entirely above zero. About 115 missed purchases are valued at the $159.90 clean average order value. The 6 affected sessions without a comparable clean group are not priced. This is not confirmed lost revenue or a store-wide total.

Inspect the example calculation

The proposed next step

The storefront developer investigates the delivery selector using the observed journey and uploaded source map at cart.ts:184. Check how a missing matching delivery rate is handled; the evidence does not yet establish the root cause.

The technical brief carries the stack, environment and source context. It deliberately excludes financial estimates so it can be shared in the developer’s own workflow.

Open the technical investigation

What we will review after a fix

Record the actual deployment and look for this issue on the new release, including relevant traffic and browser coverage. If it recurs, reopen the investigation. An absence of errors without observed activity is not evidence of a successful fix.

Current status: investigation proposed. No fix, recovered revenue or post-fix outcome is claimed in this review.

DOZENFOLD / PRIVACY

Make yourself at home.