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Start by diagnosing the work system, not by drawing another org chart. Ask developers and partner teams for concrete examples, trace several changes from request to production, and compare delivery flow, reliability, focus and well-being. Then make one small, reversible correction—such as clarifying ownership, removing an approval, repairing access or changing a dependency—and review evidence with the people doing the work.
A reorganization can coincide with a productivity decline without being its sole cause. New reporting lines may expose an access problem, split system knowledge, add handoffs or leave decision rights unclear. The remedy depends on the bottleneck you can observe.
First, define what “productivity” actually means
“Productivity dropped” is too broad to guide a decision. Establish which outcome changed and when. A team may be delivering fewer changes, waiting longer for review, experiencing more incidents, losing focus to meetings, or feeling unable to make decisions. Those are related but different problems.
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- Reliability: failed changes, rollbacks, incidents or recovery time increase.
- Developer experience: engineers spend more time searching for owners, requesting access, repeating context or attending coordination meetings.
- Team health: people report lower focus, belonging, autonomy or confidence in priorities.
Set a baseline using the period before the change where possible, but do not assume a before-and-after difference proves the reorganization caused it. Product demand, staffing, architecture, incidents and seasonal work can move at the same time.
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Listen to the people experiencing the change
Begin with short, confidential conversations or a focused team session. Ask for a recent example rather than an opinion about the org chart. The goal is to identify friction that can be observed and tested.
Questions that reveal actionable friction
- What became harder, and when did you first notice it?
- Take the last change that felt slow. Where did it wait?
- Who can decide this work now, and where is that unclear?
- Which approval, handoff or dependency was added or made slower?
- What system knowledge, access, test environment or tool is missing?
- Which priorities changed, and who communicated the change?
- Which meetings are necessary, and which exist only to coordinate around the new structure?
- What has improved since the move, even if the transition is difficult?
Ask partner teams—security, operations, product, design and platform—not only the reorganized developers. A team may appear slow because it is waiting for an external decision, while the partner team sees an incomplete request or a new queue it cannot staff.
Separate a transition cost from a design problem
New teams often spend time learning systems, relationships and procedures. That cost may decline as knowledge transfers. A persistent problem looks different: the same approval is required for every change, ownership remains disputed after documentation, or a dependency blocks work regardless of who is on call. Record both the first occurrence and whether the obstacle is improving, stable or worsening.
Michael Hilton and Andrew Begel’s 2018 Microsoft Research study examined engineers who switched teams, including why they considered leaving, how they selected teams, and the perceived costs and benefits of moves. Its lesson for a manager is practical: engineers’ experience of a move is evidence about the change. The study does not establish one universally correct team structure.
Trace real work from request to operation
Choose three to five representative changes: a routine feature, a risky production change, a defect fix and, if relevant, an infrastructure update. Follow each through intake, design, implementation, review, testing, release and operation. Include waiting time, rework and ownership changes, not just active coding time.
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Build a simple flow map
- Record the request: note who requested it, the acceptance decision and the current priority owner.
- Mark every queue: capture time waiting for product clarification, security review, code review, test data, deployment or another team.
- Mark every handoff: write down which team receives the work and what information must be recreated.
- Record rework: identify where a change was returned because requirements, interfaces or ownership were unclear.
- Follow operation: include monitoring, on-call ownership and incident follow-up; a release that creates avoidable operational work is not a complete success.
Patterns usually become clearer when several examples are placed side by side. If every change waits for the same platform permission, fix access or the platform interface. If only cross-domain work stalls, inspect the boundary and decision rights. If all work is interrupted by reprioritization, the problem may be portfolio governance rather than team topology.
Use several signals instead of one productivity metric
Metrics tell you where to investigate; they do not explain why a change occurred. Combine delivery, reliability and human indicators. Google Cloud’s DORA materials treat software delivery performance and team well-being as relevant outcomes, while cautioning against reading a single measure as a diagnosis.
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| Signal | What it can reveal | What it cannot prove alone |
|---|---|---|
| Lead time for changes | Growing queues, review delays or dependency waits | That the reorganization caused the delay |
| Deployment frequency | Reduced release flow or a deliberate batching policy | Whether fewer releases are harmful without quality context |
| Change failure rate and rollback data | Reliability effects of new ownership or rushed handoffs | Which organizational decision produced the failures |
| Time to restore service | Operational ownership and escalation problems | Whether staffing, architecture or process is responsible |
| Developer interviews or pulse checks | Focus, friction, autonomy, inclusion and confidence | A precise causal estimate or a representative view if participation is low |
| Work-in-progress and blocked-item age | Queues and dependencies that are accumulating | Why the queue exists without examining the work |
DORA’s 2023 report draws on more than 36,000 professionals worldwide. Its announcement reported that organizations with generative cultures—where people felt included and that they belonged—had 30% higher organizational performance. That is an association, not proof that a particular reorganization or inclusion initiative will produce the same result. DORA’s 2025 report announcement describes responses from nearly 5,000 technology professionals and emphasizes alignment, workflow clarity and platform quality as relevant to how teams work; it does not prescribe reversing a particular reorganization.
Choose one bounded correction
Once a bottleneck is visible, select the smallest intervention that could remove it. State the expected result, an owner and the evidence you will review. Avoid changing team boundaries, processes and priorities simultaneously; otherwise you cannot tell what helped.
Clarify ownership and decision rights
Publish a named owner for each service, product decision and operational escalation. Define who decides, who must be consulted and who is merely informed. Replace a general “shared ownership” label with an explicit rule for common cases such as interface changes, incident severity and release approval.
Repair access, tooling or platform friction
If developers wait for credentials, environments, test data or deployment permissions, fix the access path and document the support owner. A reliable self-service workflow can remove a repeated queue without moving anyone to another team. Verify that the change preserves security controls rather than bypassing them.
Remove an avoidable handoff
Give the team that builds a component the information and authority needed to complete a defined slice of work, or create a fast, explicit service interface for the dependency. Do not eliminate a review that protects reliability; instead, test whether it can be automated, time-boxed or performed earlier.
Adjust a dependency or team boundary
Change a boundary only when work mapping shows that the current split repeatedly creates coordination cost or cognitive overload. A temporary liaison, embedded specialist or stable cross-team working group may be less disruptive than a full move. Define what problem the boundary change addresses and how you will reverse it if the evidence does not improve.
Reduce coordination and priority churn
Cancel status meetings that duplicate a visible workflow, consolidate decision forums and establish one priority owner for the team’s active work. Protect focus blocks so that developers can finish changes rather than continually reconstituting context.
Compare corrective options explicitly
When several interventions appear plausible, compare them against the observed bottleneck rather than choosing the most dramatic option.
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| Option | Best fit when evidence shows | Disruption and reversibility | Checks to run |
|---|---|---|---|
| Ownership and decision map | People cannot identify who decides or supports a system | Low disruption; easy to revise | Fewer escalations, shorter decision waits, clearer on-call routing |
| Access or tooling repair | Repeated waits for environments, credentials or platform actions | Usually low disruption; reversible configuration changes | Blocked-item age, access-request volume and successful self-service use |
| Handoff reduction | Work repeatedly bounces between teams for clarification or approval | Moderate; test on one workflow first | Queue time, rework and review quality |
| Dependency or boundary adjustment | A structural split creates recurring coordination and ownership failure | Higher disruption; reversal requires planning | Cross-team coordination load, flow, reliability and team experience |
| Meeting or priority redesign | Focus is consumed by coordination or constant reprioritization | Low to moderate; easy to pilot | Focus time, interruption count, work-in-progress and priority stability |
For every option, consider six questions: Does it address the observed bottleneck? How disruptive and reversible is it? Will ownership become clearer? Will cross-team coordination increase or decrease? What happens to inclusion and well-being? Which delivery and reliability outcomes should move?
Run the change as a measured experiment
- Write the hypothesis: for example, “Naming one release decision owner will reduce approval waiting for the checkout service.”
- Choose a narrow scope: one service, workflow or team is easier to learn from than an enterprise-wide rollout.
- Capture a baseline: record current queue time, blocked work, relevant reliability data and a short pulse on focus and clarity.
- Assign an owner: the owner coordinates the change and publishes evidence; ownership does not mean doing every task.
- Set a review point: choose a suitable interval for the workflow, long enough to observe representative work. Do not treat the two-to-three-month transition described in one case study as a universal recovery schedule.
- Review with developers and partners: ask what changed in actual work, not merely whether the new diagram looks better.
- Decide: keep, modify or reverse the intervention based on the combined signals.
Keep a decision log with the problem statement, change, expected result, date, owner and evidence. This prevents a temporary workaround from becoming an invisible permanent process.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Communicate the why, the limits and the review
A concise announcement should answer four questions: What problem did we observe? What are we changing now? What is not decided? When and how will we review the result? Name the decision owner and provide a route for reporting a blocked change.
Explain uncertainty plainly. Say that the adjustment targets a measured bottleneck, not that the previous structure was a failure or that the new one guarantees higher productivity. Invite developers to challenge the diagnosis with examples. Inclusion is operational: people who cannot influence decisions or report friction will leave important evidence out of the experiment.
Account for the human cost of team moves
Moving engineers changes relationships, system knowledge and career expectations as well as reporting lines. Schedule knowledge transfer, preserve access to relevant documentation and make team-selection or role expectations explicit. Look for people carrying hidden work as informal translators between old and new groups.
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A longitudinal case study in a very large development programme found that reorganizing into autonomous teams increased coordination within teams and reduced coordination between teams. The authors also described the first two to three months after the change as challenging in that specific setting. Use that finding as a reminder to plan transition support, not as a promise that every organization will recover on the same timetable or in the same way.
Avoid responses that make the diagnosis harder
- Another immediate reshuffle: it adds transition cost before you know which bottleneck exists.
- Metric-only management: optimizing deployment count can encourage risky batching or hide review and reliability problems.
- Blaming a team: queues and unclear decisions are properties of a system, not proof that developers are unmotivated.
- Changing everything at once: simultaneous boundary, tooling, process and priority changes destroy the ability to attribute an outcome.
- Ignoring partner teams: the apparent owner may not control the dependency that causes the wait.
- Declaring success from a new chart: an org diagram is a design intent; only work and team experience show whether it helped.
When to reconsider the structure itself
Escalate from a local fix to a structural review when the same failure appears across representative work after ownership, access and workflow corrections; when critical knowledge remains permanently split; when coordination consumes more capacity than delivery; or when reliability responsibilities cannot be assigned clearly. Bring developers, product and operational partners into that review.
Compare alternatives using the same evidence: bottleneck addressed, disruption, reversibility, decision clarity, coordination load, inclusion and well-being, delivery flow and reliability. A structural change is justified by a recurring work problem, not by dissatisfaction with a diagram or a single disappointing metric.
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Team Topologies: Organizing Business and Technology Teams for Fast Flow presents concepts for limiting cognitive load and designing interactions between teams. Treat it as a framework for discussing boundaries and communication, not as proof that adopting its recommendations will fix a particular organization.
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