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Richard Smith - Virginia

Current worked example · Decision Modelling

Compare four credible choices before committing.

Decision Modelling & Operational Logic

Should the team clarify guidance, add reviewed assistance, automate a bounded path, or keep learning first?

A worked comparison, not a prescription. No option has been selected.

Customer outcomeFewer avoidable corrections in one onboarding handoff
  1. 01Clarify guidance
  2. 02Reviewed assistance
  3. 03Bounded automation
  4. 04Keep learning

Four peer options · No winner selected

See what the choice must protect

The situation

One onboarding handoff. Four ways to reduce avoidable correction.

The current process asks frontline colleagues to repair onboarding problems. Automating that repair may scale the wrong behavior if the team has not separated routine confusion from consequential exceptions.

People affected

Customers completing onboarding; frontline and support colleagues repairing exceptions; and the product, operations, and technical people responsible for the service.

Binding constraint
Account changes need authorized approval. This is an operational fact to respect, not an uncertainty that more research can remove.
Decision owner
An authorized sponsor commits to the next product action after product, operations, support, and data owners expose the evidence and limits.
Effort boundary
One onboarding handoff and one bounded evidence review. This is not a mandate to redesign or automate the whole service.

Four credible choices

Keep the trade-offs visible before choosing a path.

None is automatically safest or most ambitious. Each changes what the team learns, spends, and asks people to carry.

  1. 01

    Clarify guidance and ownership.

    A quick, reversible move for routine confusion; it will not resolve genuine exceptions.

    Move Make the expected path and accountable role easier to see.

  2. 02

    Add reviewed staff assistance.

    Preserve human judgment and learn from recommendations; it consumes staff capacity and requires clear authority.

    Move Support the handoff while people retain review authority.

  3. 03

    Automate verified repeatable cases.

    Reduce routine repair work within a narrow boundary; unreliable evidence or missed exceptions can scale harm.

    Move Automate only the cases proven repeatable inside the boundary.

  4. 04

    Keep the current process while learning.

    Avoid premature commitment; customers and staff continue carrying today’s friction.

    Move Delay the larger commitment while one uncertainty is tested.

Evidence that could change the choice

Investigate only what could change the next action.

Each path has a bounded question, a useful check, a limit, and a delivery consequence. More evidence is not automatically better evidence.

Question 01Is guidance causing the repeat work?

Bounded evidence

The product journey owner and support lead review a small agreed sample and test revised guidance with representative users.

What it cannot prove

Clearer guidance cannot establish that consequential exceptions are safe to automate.

Delivery consequence

A reversible guidance change may proceed while assistance and automation remain open.

Question 02Are genuine exceptions driving the repair work?

Bounded evidence

An operations owner and product partner classify a limited sample with frontline colleagues.

What it cannot prove

The sample does not establish that every future case fits the same categories.

Delivery consequence

Only verified repeatable cases may enter a later bounded test; human-owned exceptions stay visible.

Question 03Is the available evidence reliable enough?

Bounded evidence

A product or data owner traces a small sample to source records and documents missing or contradictory fields.

What it cannot prove

Better records do not decide which product option best protects the outcome.

Delivery consequence

Improve the evidence, run one limited test, or defer rather than automate a false pattern.

Stop condition Stop collecting when the agreed sample is complete and additional cases repeat the same limits without changing the option comparison.

Worked decision record

Record the next commitment without manufacturing certainty.

This is an illustrative example, not a claim about a named employer and not a recommendation to automate. The separate Outcomes section retains qualified historical results.

Illustrative No option selected

Customer outcome
Fewer avoidable corrections in one onboarding handoff.
Decision
Choose which uncertainty to investigate before selecting a product change.
Options still open
Clarify guidance; add reviewed assistance; automate verified repeatable cases; or keep the current process temporarily.
Constraint
Authorized approval remains required for account changes.
Owner and next action
The authorized sponsor selects the bounded evidence path; the named product, operations, support, or data owner runs it and records its limits.
Trade-off
Learning delays a larger commitment but reduces the risk of scaling confusion or removing necessary judgment.
Review trigger
Reopen the option comparison when the bounded review finishes or sooner if a consequential exception changes the risk.

Try it on one decision

Build the record your team can revisit.

Keep framing before selecting an artifact or system change if any of these seven prompts cannot yet be named.

  1. 01Customer outcomeWhat should become meaningfully better?
  2. 02Affected peopleWho carries the value, work, and risk?
  3. 03Credible alternativesWhat remains possible besides the favored move?
  4. 04Binding constraintWhat fact must the decision respect?
  5. 05Evidence-worthy uncertaintyWhat could genuinely change the choice?
  6. 06Accountable next actionWho will do what within which boundary?
  7. 07Review triggerWhat should reopen the comparison?

Continue independently

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