REVENUE IMPACT & PRIORITIZATION

A bug list is a backlog.
Know what deserves a fix.

Connect technical failures to affected shoppers and purchase evidence. Give your team a clear reason to choose one investigation over another.

Explore the example Bring your storefront

A priority you can open up.

The amount is the start of the review. Inspect the sessions, purchase comparison and order value behind the example.

DF-1876 · CART UPDATE FAILURE

Choose the next fix with its evidence in view.

Estimated revenue impact$18,420Measured loss · Selected 30 days

PURCHASES WITHIN 30 MINUTES

With this issue10%48 of 480 compared sessions

Clean sessions34%Same stage, device and environment mix

Gap 24.0 points · 95% interval 21.2–26.8.
Open the amount to inspect all inputs.

486 affected sessionsOne issue · USD · Equal purchase follow-upExplore the issue ↗

Illustrative product data Explore freely. No store connection required.

KEEP THE INVESTIGATION MOVING

The next question
already has a path.

Read the product guide ↗

Put one issue in business context.

Review affected sessions, observed purchase outcomes and the available revenue estimate together. Each amount belongs to a specific issue and selected period, giving the merchant and developer a shared starting point for the work.

Explore the issue behind the amount

Look through the number.

Affected sessions are compared with clean sessions at the same journey stage, device and environment, with the same 30-minute purchase window. See both purchase rates, the pooled gap with its 95% interval and the clean order value behind the amount. The selected window stays attached to the estimate.

Understand the shopping path

Give the priority a practical next step.

A measured loss has a 95% interval entirely above zero; a directional signal is positive but less certain. Issues with a developing sample still give your team technical evidence to investigate. Move from the business question into the captured occurrence and a portable brief.

Prepare the developer handoff

A LITTLE MORE DETAIL

Good questions.
Useful answers.

Can I inspect how an amount was calculated?

Yes. Open the calculation from the example to see the compared sessions, both purchase rates, the gap with its 95% interval and the order value. The methodology explains the sample requirements and the measured and directional labels.

Does the amount mean that revenue was definitely lost?

It is an estimate based on an observed comparison. It is not booked loss or proof that the issue caused every missed purchase. The evidence and selected period remain visible so your team can judge the priority.

Can I add all issue estimates into one store total?

Issue populations can overlap, so their amounts should not be summed into a store total. Use them to inspect and prioritize the individual issues, then review the relevant follow-up after a change.

CONNECTED PRODUCT WORKFLOWS

Follow the next connection.

An issue, a journey, a page or a release. Each view gives you a way into the next.

Issue analytics

Find the pattern inside an issue.

Developer evidence

Turn an issue into a useful technical handoff.

Release intelligence

Keep watching after the deployment.

PUT YOUR STOREFRONT IN FOCUS

Your store.
Your next useful fix.

Bring the shopper journey you want to improve and the person who ships your changes. We’ll connect the first evidence and work through the findings together.

Book a demo Estimate your price and contact us · Guided setup

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.

# 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

## 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](https://dozenfold.com/product#revenue-calculation)

## The proposed next step

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](https://dozenfold.com/product#investigate)

## What we will review after a fix

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

A bug list is a backlog.
Know what deserves a fix.

A priority you can open up.

Choose the next fix with its evidence in view.

The next question
already has a path.

Put one issue in business context.

Look through the number.

Give the priority a practical next step.

Good questions.
Useful answers.

Follow the next connection.

Your store.
Your next useful fix.

A priority you can look into.

What happened after the failure?

Take the evidence with you.

A decision you can explain.

Client review: cart delivery update

The decision

Why this issue

The proposed next step

What we will review after a fix

A priority you can open up.

Choose the next fix with its evidence in view.

The next questionalready has a path.

Put one issue in business context.

Look through the number.

Give the priority a practical next step.

Good questions.Useful answers.

Your store.Your next useful fix.

The next question
already has a path.

Good questions.
Useful answers.

Your store.
Your next useful fix.