> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kowalah.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Outcomes

> Capture the realised, often measurable results of delivered AI work — the receipts that back up your Deliverables and Expert Requests.

Outcomes are the realised, often measurable results of delivered AI work. Where an [ICE score](/platform/scoring) describes what your team *expected* and what they *judged* once the work was done, an Outcome captures what your business *actually realised*.

A Deliverable that saved your support team 200 hours per week is one Outcome. A change request that won a £500K expansion deal because the customer's CTO referenced your new AI policy is another. Outcomes are the receipts.

<Note>
  Outcomes attach to a [Deliverable](/platform/projects/deliverables) or an [Expert Request](/platform/expert-requests). They're how the platform turns "we shipped it" into "and here's what changed in the business."
</Note>

## Why Outcomes are separate from scoring

ICE scores and Outcomes do different jobs:

|                       | ICE Score                                       | Outcome                                                           |
| --------------------- | ----------------------------------------------- | ----------------------------------------------------------------- |
| **Captured by**       | The team delivering the work                    | Anyone with write access to the parent — including you            |
| **When**              | At planning (estimated) and at closeout (final) | At closeout, *and any time afterwards as new results materialise* |
| **What it describes** | The team's account of delivery                  | The realised business result                                      |
| **Locks?**            | Final score locks shortly after closeout        | No lock — outcomes can be added or edited at any time             |

You can think of Outcomes as the evidence backing your Deliverable's final Impact score. They sit on the same parent, but they're the things you'd actually quote in a board update.

## What an Outcome contains

Every Outcome captures:

| Field                | Required?                | What it's for                                                                     |
| -------------------- | ------------------------ | --------------------------------------------------------------------------------- |
| **Title**            | Yes                      | A short, plain-English headline                                                   |
| **Outcome type**     | Yes                      | One of: revenue won, cost reduced, productivity gained, adoption milestone, other |
| **Narrative**        | Yes                      | The story — what changed, who noticed, why it's attributable to the work          |
| **Metric value**     | Optional                 | The number — e.g. `2000000`                                                       |
| **Metric unit**      | Required if value is set | The unit — e.g. `GBP`, `hours/week`, `users`, `%`                                 |
| **Metric period**    | Optional                 | `one_off`, `weekly`, `monthly`, `quarterly`, or `annual`                          |
| **Evidence URL**     | Optional                 | A link to a supporting source — a board paper, a dashboard, an email              |
| **File attachments** | Optional                 | Documents that back up the result                                                 |

<Tip>
  The discipline of an Outcome is that you can usually put a number on it. *"Reduced AWS supplier spend by £2M annually"* is an Outcome. *"Improved team morale"* is a story. The platform will still let you log the story — it'll just gently warn you that ROI rollups exclude Outcomes without a metric.
</Tip>

### The five outcome types

| Type                    | Example                                                                    |
| ----------------------- | -------------------------------------------------------------------------- |
| **Revenue won**         | "Won a £500K expansion contract — their CTO referenced our AI policy work" |
| **Cost reduced**        | "Reduced AWS supplier spend by £2M annually"                               |
| **Productivity gained** | "Saved 200 hours/week across the support team"                             |
| **Adoption milestone**  | "Hit 65% weekly active adoption against a 60% target"                      |
| **Other**               | Anything that doesn't fit the four above — and is still worth recording    |

## Capturing Outcomes

Outcomes can be captured in two places.

<Steps>
  <Step title="At closeout">
    When a Deliverable or Expert Request closes, the closeout form includes an **Outcomes** section alongside the final ICE score. Add as many Outcomes as you have at the time of closing — there's no minimum and no maximum.
  </Step>

  <Step title="Any time afterwards">
    Cost reductions often realise months after delivery. Revenue wins can be later still. The Outcome panel on a Deliverable or Expert Request stays open: you can add a new Outcome whenever fresh evidence lands, edit an existing one as the picture sharpens, or soft-delete one if it turns out the result wasn't really attributable to the work.
  </Step>
</Steps>

<Info>
  There's no lock window on Outcomes. Unlike the final score — which locks shortly after closeout to preserve the prediction-vs-result narrative — Outcomes are intentionally living. The dashboard becomes more honest over time.
</Info>

## Who can capture Outcomes

Anyone with write access to the parent Deliverable or Expert Request can capture, edit, or soft-delete Outcomes. That includes:

* Kowalah team members working on the parent
* Your organization's admins and Core Team
* **Customer-side stakeholders** linked to the parent — the people closest to the realised result, who often see the evidence first

Soft-deleted Outcomes stay in the database for historical queries but don't appear on the Deliverable, Expert Request, or rollup dashboards.

## Attribution: one Outcome, one parent

An Outcome belongs to exactly one Deliverable or Expert Request. When the same realised business result is genuinely attributable to multiple pieces of work — say, a cost reduction driven by three concurrent Deliverables — capture it as **separate Outcome rows on each parent**, rather than fanning a single row across many.

Duplicated narrative is preferable to ambiguous attribution. Rollup queries can dedupe headline numbers at the dashboard layer if double-counting bites in practice.

## Evidence: links and files

Every Outcome can carry two kinds of evidence:

* **An evidence URL** — a link to a board paper, a dashboard, a customer email, an internal report
* **File attachments** — PDFs, spreadsheets, screenshots that back up the claim

Both are optional. An Outcome with neither is still valid — but linked evidence dramatically increases the weight an Outcome carries when leadership reads the rollup.

## Where Outcomes show up

Once captured, an Outcome appears on:

* **The parent Deliverable or Expert Request** page, in an Outcomes section
* **The project rollup**, summarised across all Deliverables in the project
* **The organization-level ROI view**, where Outcomes with metrics are aggregated by type

<CardGroup cols={2}>
  <Card title="ICE Scoring" icon="gauge" href="/platform/scoring">
    The scoring model that Outcomes back up
  </Card>

  <Card title="Deliverables" icon="kanban" href="/platform/projects/deliverables">
    Where most Outcomes attach — committed work delivered inside a project
  </Card>

  <Card title="Expert Requests" icon="hand-helping" href="/platform/expert-requests">
    The other parent for Outcomes — standalone expert work
  </Card>

  <Card title="Reports" icon="chart-column" href="/platform/organization/reports">
    Where Outcomes roll up at the organization level
  </Card>
</CardGroup>
