Outcome Owl

Process Discovery Worksheet

Map one business process into Outcome Owl

A guided worksheet for thinking through one business process or workflow you want to observe.

Type directly into the boxes, or print it blank and fill it in by hand.

Use this worksheet to think through one business process or workflow you want to observe. You do not need all the answers right now — start with what you know, and Outcome Owl will help you discover what you did not expect.

Fill out one worksheet per process. If you have multiple processes, start with the one that causes the most pain or costs the most when it goes wrong.

Before You Start

Why This Process?

Before mapping steps and systems, articulate why this process matters and where it hurts today. These answers guide every decision that follows — which steps to observe, what rules to set, how severe to rate them, and who needs to know when something goes wrong.

What prompted this?

Why are you looking at this process now?e.g., audit finding, customer complaints, cost overruns, compliance requirement, executive mandate, a feeling that something is off
Is there a specific incident or pattern that raised concerns?e.g., "We missed three SLA deadlines last quarter," "A claim was lost for 60 days," "We have no visibility into how long onboarding actually takes"
What would success look like?e.g., "We catch delays within 24 hours instead of a week later," "We can prove to auditors that every claim is processed within the regulatory window"

Where does it break today?

Every process has pain points — steps where things get stuck, exceptions that require manual intervention, or handoffs where work disappears. These are the areas Outcome Owl is designed to illuminate.

Which steps have caused problems in the past?delays, errors, rework, lost items
Are there manual workarounds your team uses today?spreadsheet tracking, email follow-ups, daily status meetings to find stuck items
Where do handoffs fail?work moves from one team or system to another, and things fall through the cracks
Are there steps that sometimes do not happen at all?a required approval is skipped, or a notification is never sent

How critical is this process?

Understanding business impact helps you assign meaningful severity levels and set the right Impact Areas on each process step. Check all that apply — most processes touch more than one.

Impact Area
Affected?
How?
Compliance
regulatory requirements, audit obligations, legal exposure
Customer Experience
service quality, responsiveness, satisfaction
Finance
revenue, cost, margin, cash flow
Operations
throughput, efficiency, resource utilization
Reputation
brand perception, public trust, partner confidence
Revenue
direct revenue impact, lost sales, delayed billing
Security
data protection, access control, fraud exposure

These seven areas correspond directly to the Impact Area flags you will set on each process step in Outcome Owl.

Who needs to know?

Who is the day-to-day owner?the person or team who fixes problems when they arise
Who needs to know if a problem persists or escalates?manager, VP, compliance officer
How quickly does someone need to know?real-time, same day, weekly summary
Are there external stakeholders who are affected?customers, regulators, partners

Section 1

Name Your Process

What do your people call this process today? Use the vocabulary your organization already uses — not a system name or a technical label.

Process namee.g., "Medical Claim," "Order Fulfillment," "Employee Onboarding," "Equipment Lifecycle"
Who owns this process?team, department, or role
What is at stake when this process goes wrong?customer impact, financial exposure, compliance risk, operational cost
How many of these processes run per day / week / month?rough order of magnitude is fine

Section 2

The Starting Step

Every process begins somewhere. This is the event that kicks things off.

What is the starting step called?e.g., "Claim Received," "Order Placed," "Application Submitted," "Asset Received into Inventory"
Which system produces this event?e.g., ERP, CRM, claims platform, manual entry
Can that system export a file or send a message when this event happens?CSV extract, API call, Kafka message, manual log
What unique identifier does this step carry?e.g., Claim Number, Order ID, Application ID, Asset Tag — the thread that ties the whole process together
Does this step have a meaningful duration, or is it a point in time?"Claim Received" might be instantaneous; "Initial Review" takes hours or days

Attributes worth capturing at this step

List any data fields that travel with this event and might be useful for analysis later. Think about: who, what, where, how much, which type.

AttributeExample ValueWhy It Might Matter

Examples: customer_type = "Enterprise", region = "Southeast", submitted_amount = 4500.00, channel = "Web Portal", priority = "Expedited"

Common pitfalls with identifiers

  • Do not use the entity ID alone when the entity passes through multiple steps. A Claim Number identifies the claim, but you will have multiple observations for that claim (Received, Reviewed, Paid). Include the step in the ID to avoid collisions.
  • Do not use a timestamp as an identifier. Timestamps collide when two events happen in the same second, carry no semantic value, and break when system clocks drift.
  • Do not use a display string that users can edit. If a customer-facing label changes ("Case #4421" becomes "Escalated Case #4421"), the audit trail breaks — Outcome Owl matches the original ID, not the new one.

Section 3

The Ending Step(s)

Most processes have at least one "good" ending and often a "bad" ending too.

Positive ending (the happy path)

What does the successful ending look like?e.g., "Claim Paid," "Order Delivered," "Loan Funded," "Asset Retired"
Which system knows when this happens?
Does it carry the same unique identifier as the starting step, or a different one that can be linked back?
What does "good" look like in terms of time?e.g., "The whole process should complete within 7 days," "This final step should take less than 2 hours"

Negative ending (the unhappy path)

Not every process ends well. Some are denied, cancelled, abandoned, or escalated. These endings are just as important to observe.

What does the negative ending look like?e.g., "Claim Denied," "Order Cancelled," "Application Withdrawn," "Asset Lost or Damaged"
Which system knows when this happens?
Is there more than one kind of negative ending? List them.

Attributes worth capturing at ending steps

AttributeExample ValueWhy It Might Matter

Examples: paid_amount = 3200.00, denial_reason = "Incomplete Documentation", delivery_carrier = "Regional Express", resolution_type = "Refund"

Section 4

The Steps In Between

Most processes have intermediate steps. You do not need to capture every micro-step. Focus on the ones where handoffs happen, decisions are made, time passes and you want to know how much, or problems tend to occur. It is fine if this list is incomplete — you can add more later.

Step NameWhich System?Can You Collect It?Duration or Point-in-Time?Links Back To

Examples: Eligibility Check · Claims Platform · Yes, API event · Duration (30 min avg) · Claim Received  |  Underwriting Review · Loan Origination System · Yes, nightly CSV · Duration (1–3 days) · Credit Check  |  Quality Inspection · Warehouse System · Yes, scan event · Point-in-time · Order Packed

Steps that happen sometimes but not always

Some steps only occur under certain conditions (e.g., "Manager Approval" only for orders above $5,000, or "Appeals Process" only for denied claims). These are valuable to track — they reveal the exception paths.

Conditional StepWhen Does It Happen?

Attributes worth capturing at intermediate steps

Different steps may carry different attributes. A shipping step has carrier and tracking information; a review step has reviewer and decision.

Step NameAttributeExample Value

Section 5

Linkage — How Steps Connect

Outcome Owl links steps into an end-to-end process chain using identifiers your systems already produce. The simplest approach: every step carries the same unique identifier (the "golden thread").

Do all your systems use the same identifier for this process?e.g., every system references the same Claim Number or Order ID
If not, how do they connect?e.g., "The warehouse system uses a Pick Ticket ID that maps to the Order ID in the ERP"
Is there a natural parent-child relationship?e.g., "Each order line item is a child of the order header"

Do not worry if the linkage is imperfect. Outcome Owl handles out-of-order arrival, delayed events, and even cases where a child event arrives before its parent. The platform links them retroactively.

Which identifier pattern fits your process?

Pattern A — Natural Golden Thread

All systems reference the same business identifier (e.g., every step carries the same Claim Number). Observation IDs include the golden thread (CLAIM-91823-RECEIVED, CLAIM-91823-PAID), so search and troubleshooting are intuitive, linkage is strong, and entity-level analytics can use the golden thread directly.

Pattern B — System-Scoped IDs with a Linking Key

Each system mints its own identifier, but a shared reference exists somewhere (a field or a lookup table). Prefix IDs with the source system (ERP-44210, WMS-PKT-8891); the linking key travels as an attribute. Linkage requires mapping — the parentid on one observation must reference the other's ID. Attributes become the key to cross-process analysis.

Pattern C — No Shared Key

Systems are decoupled — no natural business identifier appears everywhere. IDs are fully system-scoped (CRM-CASE-4421, ERP-ADJ-11029). Linkage relies on explicit parentid assignment at integration time (the most error-prone pattern). Start with permissive guardrails and tighten as linkage stabilizes; over time, Outcome Owl's own process chain becomes the linking mechanism you did not have before.

Which pattern best describes your process?A, B, or C
If Pattern B — what is the linking key, and which system is the authority?
If Pattern C — who or what will assign the parentid when integrating?

Why this matters long-term: the identifier strategy you choose today propagates through every analytics capability — search, Process Explorer, Audit Trail Explorer, entity-level analytics, and deep-linking. Getting identifiers and guardrails right during setup pays compounding returns.

Section 6

What Does Good Look Like?

Before setting up rules, think about what "normal" means for this process. These become your first deviation and threshold rules.

Time-based expectations (Deviation Rules)

"If step A happens, step B should follow within X days."

After This Step……This Step Should FollowWithin How Long?How Serious If It Doesn't? (1–5)

Examples: After "Claim Received," "Eligibility Check" should follow within 2 days (severity 3) · After "Order Shipped," "Order Delivered" should follow within 14 days (severity 3) · After "Application Submitted," "Identity Verification" should follow within 1 day (severity 4)

Numeric boundaries (Threshold Rules)

"Flag when a value exceeds or falls below a boundary."

On This Step…Check This Value…Flag When…How Serious? (1–5)

Examples: On "Payment Processing," flag when amount > $10,000 (severity 4) · On "Refund Issued," flag when total refunds > $50,000 across all (severity 5) · On "Flight Completed," flag when delay_minutes > 120 (severity 3)

Things that should not happen

Some deviation rules detect unwanted events: "If step A happens, step B should NOT follow."

After This Step……This Step Should NOT HappenWithin How Long?How Serious? (1–5)

Examples: After "Booking Confirmed," "Flight Cancelled" should not follow within 30 days (severity 4) · After "Invoice Approved," "Invoice Rejected" should not follow within 7 days (severity 4)

How your identifier pattern (Section 5) affects rules

  • Pattern A (golden thread): Rules are highly reliable because parent-child linkage is clean. Start with time-based expectations and trust the results immediately.
  • Pattern B (linking key): Rules work well, but verify that parent mappings are correct before interpreting deviation results. A "missing step" deviation might mean the step did not happen, or that the mapping broke.
  • Pattern C (no shared key): Start with broad rules and loose thresholds. Tighten them as your integration matures and linkage errors decrease.

Section 7

Process or Audit Trail?

Most workflows are Processes — steps happen in a defined sequence with measurable duration between them. Some are Audit Trails — standalone events tied to a long-lived entity (an asset, an employee, a contract) where the sequence is fluid, events span months or years, and duration between events is not the point.

Is this a sequential workflow with a clear start and end?→ Process
Or is this a series of lifecycle events on a long-lived entity?→ Audit Trail
Could it be both?e.g., Employee Onboarding is a Process; the employee's ongoing communications are an Audit Trail

Section 8

Data Sources Summary

Summarize where the data will come from. This helps plan the technical integration.

Step(s)Source SystemExport Method
CSV / API / Kafka / Manual
FrequencyFormat

Section 9

Quick Sketch

Draw a simple left-to-right flow of your process. Boxes for steps, arrows for connections. Mark the starting step, the ending step(s), and any branches. This does not need to be perfect — it is a conversation starter.

(sketch your flow here)

Next step

Bring your completed worksheet to your Outcome Owl onboarding conversation. Defining one process and connecting its data typically takes days or weeks, not months. See the Executive Briefing Book for the full picture, or the Customer Privacy Guidance if your process touches regulated data.