Summary

This AI report generator takes the four numbers every lifecycle flow produces (open rate, click-to-activate rate, bounce rate, and trigger latency p50) and writes a short stakeholder report against published deliverability and behavioral-email benchmarks. Pick Engineering or Growth/exec and the closing recommendation changes register. Everything runs client-side: no signup, no data leaves the browser.

Turn Flow Metrics Into A Stakeholder Report

This AI report generator turns your open rate, click-to-activate rate, bounce rate, and trigger latency into a written report you can hand to engineering or growth, in the register they already read in.

Generate your report

Lifecycle report generator

Enter the numbers from your last send. The report updates as you type, and the closing recommendation switches register depending on who is reading it.

How this works

What the report is actually checking

No model call happens client-side. The report is template text assembled from your inputs against fixed thresholds, which is why the same numbers always produce the same report.

Benchmarks, not vibes

Open rate and click-to-activate are checked against the 45% / 6% range published for triggered, behavioral email flows. Bounce rate is checked against the 2% and 5% bands bulk sender guidelines use before throttling kicks in.

Latency gets its own line

Trigger latency (p50) is read against a sub-second real-time band and a 5-second batch band. A flow that fires in 4 seconds is not broken, but it is not event-driven either, and the report says so.

Register matches the reader

Switch the report between Engineering and Growth / exec. The numbers do not change. The closing line does: one points at the trigger source, the other points at the activation number to watch next cycle.

The four lines

Reading the report in under a minute

The generated text always follows the same order: raw numbers, engagement verdict, reputation check, then the plumbing. That order maps to how you would actually triage a flow that looks off, worst-case-first.

  1. 1

    Line one is the raw numbers

    Sends, open rate, and click-to-activate rate for the period you picked. No judgment yet, just the count your ESP or send log already gives you.

  2. 2

    Line two judges engagement

    Open rate and click-to-activate are compared against the 45% / 6% range published for triggered flows. If both clear the bar, the report says so and moves on.

  3. 3

    Line three is the reputation check

    Bounce rate against the 2% and 5% bulk sender bands. This is the line worth reading first if deliverability has felt shaky lately.

  4. 4

    Line four is the plumbing

    Trigger latency (p50) tells you whether the flow is actually event-driven or quietly running on a batch job somewhere upstream.

Common questions

Is this free, and do I need to sign up?
Free, no signup. The report is generated entirely in your browser from the numbers you enter. Nothing is sent to a server, aside from an anonymous tool-run beacon used for usage stats.
Where do the 45% open rate and 6% click benchmarks come from?
They track the range published in 2025 lifecycle-email benchmark reports for triggered, behavioral flows (as opposed to broadcast newsletters, which run lower). Your own flow may reasonably sit outside this range depending on audience and trigger type.
Why does the bounce threshold sit at 2% and 5%?
Those two lines track the bulk sender guidelines major inbox providers use: reputation risk starts building past roughly 2% hard bounces, and by 5% most senders see active throttling or spam-folder placement.
What counts as real-time trigger latency?
Sub-second (under 1000ms p50) reads as genuinely event-driven, typically a webhook or CDC stream firing on the write. Between one and five seconds still works for most activation flows. Past five seconds, the report flags it as batch-shaped.
Does the recommendation change if I pick Growth / exec instead of Engineering?
Yes. Engineering gets a pointer at the likely technical cause (trigger source, pipeline). Growth / exec gets a pointer at the one number to re-check next cycle. Same input numbers, different closing line.
Can I use this for a broadcast campaign instead of a triggered flow?
You can enter the numbers, but the benchmarks are calibrated for triggered, behavioral flows. Broadcast sends typically run lower on open and click rate for reasons that are not a problem with the send itself.
Does this store or export my metrics anywhere?
No storage, no export, no history. Refreshing the page clears the inputs. Copy the generated text out manually if you want to keep it or paste it into a deck.

Need this as a deck, not just a paragraph?

Skywork's Slides agent (Deep Research mode) turns a written report like this into a source-cited stakeholder deck in a few minutes, without a design pass.

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