Journeys & Workflows - Executives, Ops, PM, Engineering
See the whole journey from first action to final outcome.
Connect user actions, human work, systems, business data, and AI in the same journey or case. Measure where work completes, stalls, gets corrected, or creates value.
Measured on the journey, not on one step
THE JOURNEY IS THE UNIT OF WORK
One claim, application, ticket, or user journey, end to end.
Whether the work is a user-facing journey like onboarding or checkout, or an operational workflow like underwriting or claims, DataFramer follows the same case from the first action to the business outcome. You can see exactly how it happened, tell an isolated AI issue apart from a broader process problem, and prioritise fixes by business impact.
- The user and product actions that shaped the case
- The human work: reviews, edits, corrections, and escalations
- The systems, queues, routing, and handoffs the work passed through
- The AI steps involved, and the traces, prompts, retrieval, and tool calls behind them
- The workflow events and the final business outcome
Outcomes
Measure the outcomes that matter.
Build custom dashboards on the outcomes the business already reports on, across users, events, workflow steps, and the AI involved.
Completion and conversion
Does the journey reach the intended outcome, and how often does it not?
Cycle time
How long does a case take end to end, and where does it wait?
Human effort and rework
Where do people repeatedly correct, redo, or escalate work?
Cost, value and monetization
What does each journey cost, what value does it create, and what completed work can be metered?
Quality and risk
Is the output accepted, corrected, rejected, or escalated, and by whom?
Adoption
Are people actually using the AI-assisted path, or routing around it?
Who it's for
One journey, three views.
Business & operational leaders
See whether the workflows you own are completing more work, reducing cycle time and human effort, controlling cost, delivering measurable value, and supporting usage- or outcome-based pricing.
Product & automation teams
Understand where the journey flows smoothly, where it creates friction, and which changes will have the greatest effect on completion, conversion, and cycle time.
Engineering & AI teams
When AI is part of the cause, connect a poor outcome to the exact trace, model, prompt, retrieval step, or tool involved, and prioritise fixes by frequency and business impact.
Integrations
Works with your stack.
Collect user and product signals through DataFramer's browser SDK, propagate journey context through backend services with DataFramer's server instrumentation, and connect AI traces from Langfuse or LangSmith for the steps where AI is involved. No observability replacement is required.
Stop measuring steps in isolation.
Measure the journey that the business actually cares about.