Your company
Process and decisions
Identify who decides, what information can be used and how to evaluate the experience.
How we work · FDE
From deployment to improvement, engineering alongside your team.
FDE (Forward Deployed Engineering) is engineering applied to the customer’s context. Starya’s team works with the people who know the process to design, integrate and monitor the solution, with defined responsibilities and evaluation criteria.
The delivery process
From the initial scope to ongoing operations.
| Stage | Delivery | Conditions for moving forward |
|---|---|---|
| Understand the process | Get to know the team, systems, sources and work that needs to move forward. | A defined process, with dependencies and owners identified. |
| Define the first delivery | Choose a scope and agree on what will be checked for acceptance. | Explicit outcomes, human decisions and test criteria. |
| Integrate and validate | Build the connections and verify behavior, including exceptions. | Access, failures, confirmation and continuity checked within scope. |
| Monitor and improve | Observe usage, investigate incidents and prioritize the next improvement. | A hypothesis, a change, an owner and a way to check the effect. |
Team composition, timelines, support and responsibilities are defined for the project. This process does not establish a universal deployment timeline.
FDE in practice
From an incident to the next improvement.
Explore what Starya and your team do between noticing a problem and verifying an adjustment.
Fictional example · FDE in practice
The work stopped halfway through.
Three fictional requests reached the team without the information needed to continue. The operations team identifies the problem and assembles a sample for investigation.
Pending queue · three illustrative records.Read the full process
Incident
Three fictional requests reached the team without the information needed to continue. The operations team identifies the problem and assembles a sample for investigation.
Pending queue · three illustrative records.
Evidence
The original request includes a deadline. That field is missing from the context delivered to the next stage. The observation identifies a gap but does not yet prove why it occurred.
Request with a deadline → context without a deadline.
Hypotheses
Incomplete context: check field extraction and mapping. Ambiguous rule: check how the routing condition is interpreted. Unanswered integration call: connect the call to the result in the system. A hypothesis is not a proven cause.
Compare hypotheses with records appropriate to the process.
Change
The proposed change needs a scope, an owner and a way to roll back. Operations defines the context needed to continue; engineering checks the origin of the fields and prepares the adjustment for review and testing.
Proposed adjustment → review → test.
Verification
Repeating the scenario and monitoring new requests lets the team check the effect and find exceptions. If the field appears but the team keeps repeating questions, the investigation needs to consider other hypotheses.
Before and after, using the same criteria.
A hypothesis becomes a conclusion only after verification. The example does not represent customer data or results.
Shared work
Each team has a role.
Starya
Engineering and deployment
Build the solution, connect the systems and monitor behavior, according to scope.
Together
Improvement priorities
Choose the next improvement based on observed results, failures and unresolved issues.
The work continues in production
See how usage informs change.
Learning from an existing operation can guide the next scope of work.