Workflow applications are the configured instances of a workflow engine that run a business process: lead routing, deal rotting, discount approval, service escalation, project handoff, renewal flagging. The job of a workflow application is to take a recurring human process and make it a system behavior. Strkr ships a catalog of workflow applications for the common revenue motions, plus the builder to extend the catalog, plus the engine that runs them all.
A workflow engine is the generic machinery: triggers, branches, actions, approvals. A workflow application is a configured use of that machinery for a business process. The distinction matters because the engine is bought and the applications are built. The teams that get the most out of workflow software are the ones that treat each application as a named asset with an owner, a target metric, and a retirement plan.
The engine is the trigger types, the condition language, the action catalog, the approval mechanism, and the audit layer. The engine is the same across every workflow in the system. The engine ships with the product; the user does not build it.
An application is one flow configured for one business process. Lead routing is an application. Deal rotting is an application. Discount approval is an application. Each application has a named owner, a target, and a retirement condition.
Every application should have a target metric. Lead routing targets first-touch SLA. Deal rotting targets stale-deal count. Discount approval targets audit completeness. The target makes the application accountable rather than a line in a flow list.
Every application has a single named owner. The sales operations lead owns the sales applications. The support lead owns the service applications. The ambiguity of shared ownership produces the drift that visual workflow is supposed to prevent.
Applications have a lifecycle. The first version launches, iterates based on usage data, and eventually retires when the process it supports changes. The retire step is the one most teams skip; stale applications accumulate until the catalog is a graveyard.
The workflow catalog is the complete set of applications a team runs. The pattern that works is to keep the catalog small, named, and documented. The anti-pattern is to let the catalog sprawl into a hundred unaudited flows that nobody can inventory.
Across revenue teams, a predictable set of workflow applications shows up. The catalog below is what a mature sales operations function runs. Each application is one flow configured for one process, with its own owner and target metric.
The lead enters the system, Flow routes by territory, segment, and SDR tier, assigns the owner, creates a first-touch task with a one-hour SLA, posts the assignment to Slack. Target metric: median time-to-first-touch under 15 minutes.
A nightly flow scans every open deal for stage-age thresholds and raises a flag plus a manager task on each deal past threshold. Target metric: stale-deal count under 10 percent of open pipeline.
A proposal with a discount above the published floor lands on the approvals queue, routes to the correct approver by amount and segment, times out to escalation if not actioned. Target metric: audit completeness at 100 percent.
A deal moves to Closed Won, Flow creates a project linked back to the deal, assigns the project owner by region, emails the delivery lead with context. Target metric: handoff meeting eliminated, implementation kickoff within 72 hours.
A nightly flow looks 60 to 120 days ahead on contract-end dates, creates a renewal opportunity, assigns the account owner. Target metric: renewal opportunities raised 90 days before contract end.
Low product usage plus no logins in 30 days plus support tickets older than seven days plus exec sponsor turnover. Each signal is noise; the combination is signal. Target metric: at-risk accounts surfaced 60 days before renewal.
Monday flow computes each rep's attainment against pro-rated pace and sends a personalized email with the gap number and the pipeline required to close it. Target metric: all reps aware of pacing without opening the dashboard.
An MQL meets the SQL criteria, Flow routes to the SDR, creates a touch task, and tracks acceptance within 24 hours. Target metric: SQL acceptance rate above 80 percent within 24 hours.
A deal moving from Discovery to Proposal must have an identified decision-maker, a next step within seven days, and a mutual action plan link. Target metric: 100 percent of deals in Proposal with all three fields populated.
A customer's seat utilization crosses 80 percent for 14 consecutive days, Flow creates an expansion opportunity, assigns the account owner, drops the expansion motion playbook. Target metric: expansion pipeline built from signal rather than quarterly outreach.
The workflow catalog is not sales-only. The service team, the project delivery team, and the marketing team all run their own catalog of applications on the same engine. The pattern below is what the full workflow surface looks like across the revenue organization.
A service case approaches its SLA threshold without a response. Flow raises a flag on the case, notifies the support manager, and if the response does not land within the next window, escalates to the service lead. Target metric: SLA compliance above 95 percent.
A new case enters the queue, Flow classifies by topic and skill, assigns to the first available agent with the matching skill, drops the context on the agent's dashboard. Target metric: median time-to-first-response under 10 minutes for priority cases.
A new project is created, Flow sets up the kickoff tasks, assigns the project owner, drops the kickoff deck template, schedules the kickoff meeting. Target metric: kickoff within 72 hours of project creation.
A release project moves to Ready-to-Ship, Flow creates the pre-ship checklist tasks, assigns them to the right owners, times out to escalation if a task misses its SLA. Target metric: checklist completion at 95 percent-plus.
A campaign moves to launched state, Flow creates the handoff tasks for sales enablement, support training, and customer notification. Target metric: no campaign ships without the three handoff tasks confirmed.
An NPS response of 6 or lower triggers a Flow that creates a task on the account owner, drops the detractor playbook, and schedules a check-in within 48 hours. Target metric: 100 percent detractor follow-up within 48 hours.
A workflow catalog is a living asset. The patterns below are the ones that distinguish a maintained catalog from a graveyard. Teams that review the catalog quarterly keep it useful; teams that let it sprawl end up with hundreds of flows nobody owns.
Every application has a single named owner. The ownership shows on the flow object and on the catalog view. The quarterly review confirms that each owner is still at the company and still responsible for the process.
Each application displays its target metric and its current performance. The pattern makes the application accountable to the business outcome rather than its run count. A flow with a run count of 10,000 and a target metric at 40 percent is a candidate for rework.
Any application with zero runs in 90 days flags for review. The owner either explains the quiet period or retires the flow. The retirement step is the one most teams skip, and the catalog accumulates stale entries that confuse the team.
Each application displays its error rate: percentage of runs that landed on the dead-letter queue. A rising error rate is the signal that an upstream dependency changed. Catching this on the catalog view is cheaper than catching it in a user escalation.
Each application links to a Strkr Docs page with a one-paragraph description, the target metric rationale, and the retirement condition. The documentation keeps the catalog from becoming a mystery for the next sales operations lead.
Every application edit creates a version with the author, timestamp, and before-after diff. The version history is the review surface for compliance and for sales operations handoffs. The pattern mirrors source control for the application catalog.
Strkr provides the surfaces that make maintaining the workflow catalog practical. The admin workflow page, the per-application metric overlay, the version history, the dead-letter queue, and the retirement flag together form the maintenance toolkit.
The /admin/workflows surface lists every application with owner, target metric, current performance, run count, and error rate. The catalog is sortable, filterable, and exportable. The quarterly review runs on this surface in 30 minutes.
Each application landing page shows the target metric, the current performance, the trend line, and the gap. The sales operations lead reviewing the application sees the business context on the same page as the flow definition.
Failed runs land on the dead-letter queue with full context: trigger payload, failing block, error. The queue is the forensics surface. Replay is one click after the upstream issue is fixed.
Each application retains its full version history. The diff between any two versions is a side-by-side view with the condition and action changes highlighted. The pattern mirrors source control for the application definition.
Applications with zero runs in 90 days flag on the catalog view. The owner confirms the quiet period or retires the flow. The automated flag prevents the catalog from accumulating stale entries unnoticed.
Each application links to a documentation page in Strkr Docs with the description, rationale, and retirement condition. The pattern builds a maintained knowledge base of what each application does and why.
A workflow catalog that runs production automation on sensitive data has a governance surface. Permissions, audit, retention, and extensibility all need to answer cleanly for the compliance review. The answers below are the standard Strkr controls.
Strkr is HIPAA compliant and signs a BAA. Applications that move protected health information through their steps run under the same safeguards as the record store. The catalog does not add compliance surface; it brings the automation inside the covered boundary.
The SOC 2 Type II audit is in progress through 2026-Q4. GDPR and CCPA compliance are in place today. The workflow module inherits the organization-wide posture, so the catalog does not require a module-specific control review.
Application-edit permission is role-scoped. The sales operations lead can edit the sales applications; the support lead can edit the service applications. The pattern prevents cross-function edits and keeps the ownership boundary clean.
Every run writes the trigger, actions, and outcomes. Every edit writes the author, timestamp, and diff. Retention follows the organization policy. The two logs together answer the compliance questions without a sidecar export.
The catalog, individual applications, and version history are reachable through the Strkr open API. Teams running Flows-as-code or integrating the catalog with their internal governance tooling have the programmatic surface they need.
The approval surface, the notification pattern, and the external integrations all render on the Strkr brand. The pattern of a vendor brand appearing on internal process surfaces goes away. The sign-in and auth surfaces stay on your brand too.
Workflow applications are an asset when the catalog is maintained. Owners, metrics, retirement, and audit all live in the Strkr workflow surface so the catalog stays useful rather than becoming a graveyard.
A template is a starting shape. An application is a template configured for a business process and deployed to production with an owner and a target metric. Strkr ships templates for the common applications (lead routing, deal rotting, discount approval, and so on), and the team activates each template into a running application.
The pattern that works is 20 to 40 named applications across sales, service, and projects. Below 20, the team is probably underusing the engine. Above 40, the catalog needs a quarterly review to keep stale entries from accumulating. The number is less important than the maintenance discipline.
No. The Strkr visual workflow builder is designed for the revenue operations lead to build directly. The condition editor, the action catalog, the dry-run, and the version history together produce a safety net that catches the common authoring mistakes. First seven production applications typically build inside a week.
Yes. An application template can be applied to multiple record types with the same shape and different filters. A common pattern is a routing application that runs on both inbound and outbound leads with the same trigger shape and different condition groups.
Applications with zero runs in 90 days surface on the catalog view with a retirement flag. The owner either explains the quiet period (seasonal process, pending re-launch) or retires the flow. The automated flag prevents stale applications from accumulating unseen, which is the main failure mode of large catalogs.
Yes. The catalog is exportable as CSV with owner, target metric, current performance, run count, and error rate. For deeper compliance review, the per-application audit log and version history are exportable. The pattern covers the common compliance surfaces (SOX, SOC 2, HIPAA) without a separate workflow export tool.
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