A useful dashboard example exposes the raw events, stage memberships and rate denominator together. Start with that reconciliation before choosing a funnel graphic.
Define one original closed funnel
The fictional F01 rule is view → form_start → submit, in that order. Entry requires view. Intervening actions are allowed, but a required step cannot be skipped. Count each user ID once per stage within this exercise.
The original dataset covers October 20, 2026, 09:00–10:00 America/New_York. Every listed time belongs to that date and local zone; no UTC conversion is implied. The six IDs are fictional identifiers, not verified unique humans. Event names are illustrative and have no configured native GA4 mapping.
Google's funnel-exploration documentation describes closed entry at the first step, ordered steps, missing-step exclusion and direct versus indirect following conditions. This exercise uses its own declared fixture; it is not a verified reproduction of an actual GA4 report.
Keep the original event ledger
| User ID | Local time | Event |
|---|---|---|
| U01 | 09:00 | view |
| U01 | 09:02 | form_start |
| U01 | 09:05 | submit |
| U02 | 09:00 | view |
| U02 | 09:05 | submit |
| U03 | 09:00 | form_start |
| U03 | 09:02 | view |
| U03 | 09:05 | submit |
| U04 | 09:00 | view |
| U04 | 09:02 | form_start |
| U05 | 09:00 | view |
| U05 | 09:02 | form_start |
| U05 | 09:05 | submit |
| U05 | 09:06 | submit |
| U06 | 09:00 | form_start |
| U06 | 09:05 | submit |
The raw submission rows are one for U01, one for U02, one for U03, two for U05 and one for U06: six events. Keep U05's second submission in the audit ledger. It does not create another user ID or another completed sequence in the declared count.
Preserve the source record order and identifiers in the maintained export/workbook. The review should derive its memberships from that evidence, not delete inconvenient events to make the funnel appear smooth.
Trace each ID through the required order
| ID | Entry: view | Start after entry | Submit after qualifying start | Explanation |
|---|---|---|---|---|
| U01 | Yes | Yes | Yes | Completes ordered sequence |
| U02 | Yes | No | No | Submit exists, but required start is missing |
| U03 | Yes | No | No | Start precedes view; no later start supplied |
| U04 | Yes | Yes | No | No submission supplied |
| U05 | Yes | Yes | Yes | Two submit events; one completed ID |
| U06 | No | No | No | No view; not a closed-funnel entrant |
U03 enters at its 09:02 view, but its 09:00 start cannot satisfy a step required after entry. Do not rewrite its event order or assume another start occurred.
U06's start and submit remain raw evidence. They do not qualify U06 for this closed entry rule. If the analyst wants an open funnel instead, define and calculate that different cohort rather than silently include it here.
Show memberships beside the two rates
The stage sets are:
- Entry: U01, U02, U03, U04, U05; 5 IDs.
- Qualifying start: U01, U04, U05; 3 IDs.
- Ordered completion: U01, U05; 2 IDs.
The entrant-to-completion rate is 2 ÷ 5 × 100 = 40%. The qualifying-start-to-completion rate is 2 ÷ 3 × 100 = 66.666…%, displayed as 66.7% with one decimal place.
These rates have the same numerator and different denominators. Keep the included ID set, period and rule beside each result. Six raw submissions are neither six qualifying completions nor six confirmed leads or sales.
Do not label these ID-based results as session rates. Identity stitching, actual unique-person interpretation and session definitions were not supplied.
Retain exceptions and confirm the native definition
Prepare a user-journey audit and denominator card with the native event/identity fields, timestamp basis, entry rule, sequence conditions and source completeness. Compare those with the actual analyst-maintained query or GA4 configuration before claiming report parity.
Missing IDs or timestamps in a later input should be marked CHECK DATA, with the affected result unresolved. Do not replace a missing value with zero, invent an identity or silently sort a malformed timestamp. Keep the exception visible for source review.
This fixed dataset cannot establish why a page failed, whether an event was omitted in tracking or what change would improve conversion. First verify the actual export and event mapping. No live measurement, consent configuration or tracking collection is performed by the review.
Copy an event-to-stage dashboard brief
Create one complete, self-contained US-English HTML companion for “F01 event reconciliation”. Return the full HTML document, with inline CSS and any JavaScript needed for the local interactions. Use the original scenario, named records, numbers and expected cases below.
Design the page for this task: use clearly labeled input or source records, a readable result or worked example, and an adjacent explanation of the evidence. Use a restrained visual hierarchy, left-aligned text, readable tables or stacked records, and a responsive layout at 720px and 360px. Provide meaningful labeled controls for Selected ID; All original rows; Reconcile test fixture. Use keyboard-accessible native controls and visible focus. Keep the complete content readable without an external dependency.
The following brief supplies the substantive content and constraints. Native-format requests describe the material to represent or copy manually; this HTML must not pretend to create DOCX, XLSX, PDF, PPTX, H5P or another native file, run Python/Flask/Django/Snowflake/Power BI, connect a live service, send messages, or perform an authorized real-world action. Where the task requires a native source, actual observation or separate approval, retain that requirement and leave unsupplied evidence blank.
Prepare a web-analytics funnel reconciliation in US English.
Authorized native export/workbook and required format: [enter]
User/event IDs, timestamps, timezone and event names: [paste sanitized records]
Period, closed/open entry and ordered step conditions: [enter]
Direct/indirect following and any additional time constraints: [enter]
Actual native identity/event mapping and completeness status: [paste or TO CONFIRM]
Preserve raw events and repeated submissions. Derive stage memberships from
the declared sequence, not submission-row count. Required steps must follow
entry in order; a prior start cannot substitute for a later required start. Count each ID once per stage; retain duplicate/repeated events for audit. Show exact stage sets and rate denominators. Raw rows, IDs, people and sessions
are distinct units. Missing/invalid identity or time fields require CHECK DATA,
not fabricated zeros. Do not infer leads, sales, causes or native-report parity.
Original F01 fixture: entry U01-U05 = 5; qualifying start U01/U04/U05 = 3;
completion U01/U05 = 2; raw submit rows = 6; rates 2/5 = 40% and 2/3 ≈ 66.7%. Return the source ledger, journey audit, membership table and denominator cards. If requested, specify an HTML reconciliation review copy. No live connections,
tracking pixels, event collection, identity lookup or saved edits.
COMPLETE AUTHORED SCENARIO AND EXPECTED CASES
The following is the supplied reading/teaching/calculation record to represent in the companion. Preserve its particular content, examples, source references and unknowns. Wording about a future native implementation refers to that native task, not permission to omit this HTML companion.
# Web Analytics Dashboard Examples: Reconcile the Event Rows Before Reporting Funnel Completion
The export contains six submission events, but only two user IDs completed the declared view → form-start → submit sequence. Counting every submission as a funnel completion would include a missing step, a reversed step and a repeated event.
A useful dashboard example exposes the raw events, stage memberships and rate denominator together. Start with that reconciliation before choosing a funnel graphic.
## Define one original closed funnel
The fictional **F01** rule is **view → form_start → submit**, in that order. Entry requires view. Intervening actions are allowed, but a required step cannot be skipped. Count each user ID once per stage within this exercise.
The original dataset covers **October 20, 2026, 09:00–10:00 America/New_York**. Every listed time belongs to that date and local zone; no UTC conversion is implied. The six IDs are fictional identifiers, not verified unique humans. Event names are illustrative and have no configured native GA4 mapping.
[Google's funnel-exploration documentation](https://support.google.com/analytics/answer/9327974?hl=en) describes closed entry at the first step, ordered steps, missing-step exclusion and direct versus indirect following conditions. This exercise uses its own declared fixture; it is not a verified reproduction of an actual GA4 report.
## Keep the original event ledger
| User ID | Local time | Event |
| --- | --- | --- |
| U01 | 09:00 | view |
| U01 | 09:02 | form_start |
| U01 | 09:05 | submit |
| U02 | 09:00 | view |
| U02 | 09:05 | submit |
| U03 | 09:00 | form_start |
| U03 | 09:02 | view |
| U03 | 09:05 | submit |
| U04 | 09:00 | view |
| U04 | 09:02 | form_start |
| U05 | 09:00 | view |
| U05 | 09:02 | form_start |
| U05 | 09:05 | submit |
| U05 | 09:06 | submit |
| U06 | 09:00 | form_start |
| U06 | 09:05 | submit |
The raw submission rows are **one for U01, one for U02, one for U03, two for U05 and one for U06: six events**. Keep U05's second submission in the audit ledger. It does not create another user ID or another completed sequence in the declared count.
Preserve the source record order and identifiers in the maintained export/workbook. The review should derive its memberships from that evidence, not delete inconvenient events to make the funnel appear smooth.
## Trace each ID through the required order
| ID | Entry: view | Start after entry | Submit after qualifying start | Explanation |
| --- | --- | --- | --- | --- |
| U01 | Yes | Yes | Yes | Completes ordered sequence |
| U02 | Yes | No | No | Submit exists, but required start is missing |
| U03 | Yes | No | No | Start precedes view; no later start supplied |
| U04 | Yes | Yes | No | No submission supplied |
| U05 | Yes | Yes | Yes | Two submit events; one completed ID |
| U06 | No | No | No | No view; not a closed-funnel entrant |
U03 enters at its 09:02 view, but its 09:00 start cannot satisfy a step required after entry. Do not rewrite its event order or assume another start occurred.
U06's start and submit remain raw evidence. They do not qualify U06 for this closed entry rule. If the analyst wants an open funnel instead, define and calculate that different cohort rather than silently include it here.
## Show memberships beside the two rates
The stage sets are:
- **Entry:** U01, U02, U03, U04, U05; **5 IDs**.
- **Qualifying start:** U01, U04, U05; **3 IDs**.
- **Ordered completion:** U01, U05; **2 IDs**.
The entrant-to-completion rate is **2 ÷ 5 × 100 = 40%**. The qualifying-start-to-completion rate is **2 ÷ 3 × 100 = 66.666…%**, displayed as **66.7%** with one decimal place.
These rates have the same numerator and different denominators. Keep the included ID set, period and rule beside each result. Six raw submissions are neither six qualifying completions nor six confirmed leads or sales.
Do not label these ID-based results as session rates. Identity stitching, actual unique-person interpretation and session definitions were not supplied.
## Retain exceptions and confirm the native definition
Prepare a user-journey audit and denominator card with the native event/identity fields, timestamp basis, entry rule, sequence conditions and source completeness. Compare those with the actual analyst-maintained query or GA4 configuration before claiming report parity.
Missing IDs or timestamps in a later input should be marked **CHECK DATA**, with the affected result unresolved. Do not replace a missing value with zero, invent an identity or silently sort a malformed timestamp. Keep the exception visible for source review.
This fixed dataset cannot establish why a page failed, whether an event was omitted in tracking or what change would improve conversion. First verify the actual export and event mapping. No live measurement, consent configuration or tracking collection is performed by the review.
## Copy an event-to-stage dashboard brief
Implement the local companion rather than returning a text-only plan. Preserve every numerical fixture and the distinction between illustrative expectations and actual evidence. Any native-runtime or classroom tests mentioned above remain tests to perform in the proper environment; do not mark them passed. Keep edits and practice responses in this open page only, without claiming persistent storage. Provide invalid/missing-input feedback and reset behavior that agree with this specific brief. Do not claim accessibility certification, learning gains, real approvals or test results that were not observed.
Trace U03's reversed start and U05's repeated submission with the analyst before reporting the stage rates. Keep actual query definitions and measurement in their workflow, and carry the cohort rule and denominator with every completion percentage you share.