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Section 18 · Testing, Reporting & Learning

18.5Won/lost feedback loop

Designed for Phase 2
No.
18.5
DMA's reference
Decision Book p.33
Phase
Phase 2
Autonomy
L1 · Recommend
DMA's decision
Yes

◆ Amended in v3 of the book.

What DMA asked for · Decision Book p.33

Every outcome improves future scoring and recommendations.

Why it matters to DMA: It is what makes the system smarter over time instead of staying static; the amendment confirms it is part of the learning loop.

In our words, from DMA's Product Decision Book v3, page 33.

How we do it

  • Scheduled for Phase 2, after the deal autopsy and revenue measurement.
  • Outcomes are already linked back to the decisions before them, and the backtest already replays the scoring against past outcomes (synthetic in the POC) and reports how well the score ranked the accounts that revived and the deals that were won.
  • The design turns that into a loop: a new scoring configuration is proposed from the outcomes, backtested, and only goes live after a person approves it (18.6). The system never retunes itself silently.

Already in place

  • Outcomes linked to decisions; the backtest with its accuracy figures on the Measurement screen.
  • Versioned scoring configurations that only change through approval.

What the later phase adds

  • A proposed new scoring configuration from recent outcomes.
  • Its backtest shown next to the current one, for approval.

The flow

It plays on its own while it's on screen; hover or use the controls to pause or step through.

Won and lostlinked to decisionsNew scoringproposedBacktestvs currentApprovala person
Step 1 of 4

Outcomes

A quarter of won and lost deals.

  • Nutshell
  • AI
  • Rule in code
  • Person

Where the data goes

The same six stages on every page. Nothing reaches Nutshell except through the write gate.

  1. 1Nutshell

    Source

    Won and lost outcomes.

  2. 2Sync

    Copies Nutshell changes into the bridge database

    Mirrors them.

  3. 3Bridge database

    A copy of the CRM data, plus what the AI works out

    Outcomes, scoring versions and backtests.

  4. 4AI

    Claude models, only through DMA's own gateway

    Proposes; never activates.

  5. 5Write gate

    The only way back into Nutshell: checked, approved when needed, sent once

    Not involved.

  6. 6Nutshell

    The system of record

    Better tiers and next steps, after approval.

The tables behind it

Drawn from the POC's database catalogue: structure only, no data.

ai.backtest_runsPKiduuidscoring_config_versionintegersyntheticbooleanprimary_aucnumericprimary_lift_a_over_cnumeric+ 13 more columnsai.scoring_configsPKiduuidIDapproval_iduuid+ 13 more columns

PK primary keyFK reference the database enforces (solid line)ID reference kept by id (dashed line)

TableWhat it holdsColumns
ai.backtest_runsEach backtest: the scoring version, how well it predicted wins, and the lift of tier A over C.18
ai.scoring_configsVersioned scoring configurations.15
How the tables connect (1)
ColumnPoints toKept by
ai.scoring_configs.approval_idctrl.approvalsThe application (by id)

Worked example

Synthetic demo data: every name, business and number is made up.

The backtests in the POC today (on synthetic history).

Backtest

Runs so far
2
Best ranking quality (AUC)
0.588 on the synthetic history (50% is chance)A real figure needs DMA's real outcomes.

In the running POC

There is no screen for this one yet: it is designed for Phase 2, as DMA's book decides. The parts listed under “Already in place” run in the POC today.

See it live

Opens the exact screen in the running POC, in a new tab.

OpenWhereWhat to try
BacktestDMA AI dashboardThe scoring replayed against past outcomes.

Status

Designed for Phase 2

Designed for Phase 2. DMA's book schedules this for Phase 2. The design is ready and builds on parts that already run in the POC.

18.5 Won/lost feedback loop · DMA AI proof