Menschgeist

When your product team becomes the bottleneck

In many software companies, the product team slowly turns into an organizational bottleneck. Everything runs through the same few people: feature ideas, customer escalations, incident decisions, and Roadmap calls. Engineers wait for clarification. Customer success waits for answers. Leadership waits for commitments. The product trio sits in back‑to‑back calls trying to stitch it all together. On paper, the organization looks agile: squads, sprints, roadmaps. In everyday work, it feels like an airport. Every flight must ask the same tower for permission to move.

When I meet these teams, I rarely see “lack of discipline” or “not enough process.” I see a system that has grown more complex than its current design can handle. Work wants to flow as end‑to‑end slices of value for specific customers or domains. Instead, it zig‑zags through queues, hand‑offs and status meetings. From an AO perspective, a feature or incident is not a ticket to be pushed through functions. It is a piece of work that needs the right people around it at the right time. In this issue, I share a story from a software product team. They shifted from central routing to a small “feature swarm.” I also describe a concrete AO move. You can try it if your own product team is starting to feel like the bottleneck.

From the field: a feature swarm for a stuck product

A mid‑size SaaS company asked me in when one of their core products started missing every meaningful date. The product team was small. It consisted of one product manager, one designer, a tech lead, and about eight engineers. However, the dependencies around them were significant. Sales wanted customizations. Customer success brought urgent requests. Marketing needed dates for campaigns. Security had its own backlog of fixes. Operations pushed for more observability work. Every Roadmap conversation ended with the same feeling. “We are doing a lot of work, but nothing important is getting through.”

We sketched the journey of one “simple” feature, requested by a strategic customer. The original request came through the account manager. It was translated into a ticket and discussed in refinement. The task was sliced in sprint planning and half‑implemented by one engineer. Meanwhile, another engineer was fixing production issues. Then, the task was blocked while waiting for an API change from another team. Testing happened late, documentation lagged, and marketing found out only when the feature was already live. At every step, people did their best. The system as a whole, however, made it very hard for this feature to move smoothly from idea to impact.

From an AO lens, the pattern was familiar. Everyone optimized their own queue. Nobody owned the end‑to‑end flow of value for this customer. So we proposed a small experiment. For a narrow slice of work, we focused on a cluster of related features for exactly this strategic customer segment. We created a “feature swarm.” It included the product manager, designer, and tech lead. One engineer from the team, a representative from customer success, and someone from operations were also part of it. Their mandate was simple: for the next eight weeks, this swarm owned that slice of work end‑to‑end.

The rules of the swarm were deliberately light. First, any new request in that slice started with a short swarm huddle. The account manager and product manager clarified the real need. The engineer and ops person quickly assessed constraints. Together, they agreed on what “good enough” meant for this iteration. Second, the swarm met three times a week for 15–20 minutes. They decided the next moves across design, build, rollout, and communication in one conversation, not four separate meetings. Third, the head of product committed to protecting a fixed capacity for this swarm and backing their trade‑off decisions.

The visible changes came quickly. Features for that segment started to land in small, coherent increments that customers could actually use. The team cut down on rework because customer success and ops were involved early, instead of discovering gaps after launch. Perhaps more importantly, the product manager stopped acting as a permanent router of every question. In one retro, they said: “For this part of the product, I finally feel like we are a team. We are truly working together.” They felt like they were not just a set of queues with one person in the middle. That observation holds the AO question I would invite you to explore. In your product organization, where would forming a small, focused team around a slice of value be more beneficial? Could this approach serve you better than one more steering meeting or dependency board?

Try this AO move this week – for software product teams

You don’t need to redesign all your teams to start working differently. A pragmatic AO move involves taking one important slice of product work. Treat it as something a small swarm owns together. This method avoids letting it trickle through everyone’s backlog.

1. Pick one slice of value that really matters. Choose a concrete, near‑term piece of work. It could be a feature cluster for a key customer segment. It might be a reliability improvement for a critical flow. Alternatively, consider the handling of high‑severity incidents for one product. It should be important enough that people feel the pain today.
2. Map how this work actually flows today. On one page, sketch the real path from “we should do this” to “customers are using it and it’s stable.” Break it down into steps: product discovery, design, implementation, review, testing, rollout, communication, and support. Include the people who actually touch it – not just roles on an org chart.
3. Identify your minimal swarm. Looking at that map, ask yourself: “Who are the 4–7 people who need to be in the same conversation? They should be involved in this slice from the start.” In many software contexts, the group will include roles like product manager, tech lead, and engineer(s). It might also involve a designer/UX, someone from customer success or support, and an operations/SRE/security professional, depending on the work.
4. Run a four‑week feature‑swarm experiment. For the next one or two items in that slice, bring this swarm together for:
5. Watch what they notice, not just what they ship. Track basic metrics like cycle time and rework. Also, pay attention to what the swarm notices. They see recurring blockers, missing signals between teams, and areas where your tooling or organizational structure hinders the flow. Those insights are usually your best guides for the next AO‑driven changes.