5 Signals Derribar Ventures Limited Uses to Prioritize a Product Backlog

Product backlogs have a way of becoming black holes. Items go in, they accumulate, they get estimated and refined, and shuffled around — and somewhere along the way, the question of what should actually come next stops having a clear answer. The team ends up working on what’s loudest, what’s most recent, or what the most persuasive stakeholder argued for last week. None of those are good prioritization signals.

Atlassian’s State of Teams report found that Fortune 500 companies collectively lose 25 billion work hours annually due to ineffective collaboration. A significant portion of that waste traces back to misaligned priorities — teams working hard, but not on the same things. That problem lives most visibly in the product backlog. When there’s no shared framework for deciding what matters most, alignment becomes nearly impossible, because every function has its own answer to the question, and there’s no common language for resolving the disagreement.

Derribar Ventures Limited works with digital businesses on user acquisition strategy and product development, helping teams build and scale IT products with efficiency. Backlog prioritization is one of the areas where that work gets operationalized, because a product roadmap is only as good as the thinking behind what gets built first. The five signals below are what Derribar Ventures uses to cut through the noise and make backlog prioritization decisions that hold up across functions.

Why Backlog Prioritization Is Harder Than It Looks

Most teams know that prioritization matters. The harder part is agreeing on how to do it consistently — and consistently is the key word. Ad-hoc prioritization, where each sprint planning session starts fresh without a shared framework, produces backlogs that reflect whoever had the most influence in the last conversation rather than what would actually move the product forward.

Derribar Ventures Limited starts from the observation that prioritization failures are almost always process failures rather than judgment failures. Individual people usually have reasonably good instincts about what matters. The problem is that those instincts get filtered through the noise of competing requests, stakeholder pressure, and the cognitive weight of a backlog that has hundreds of items in it. Without a set of defined signals to evaluate each item against, the prioritization process becomes too variable to produce consistent results. Derribar Ventures treats that variability as the thing to fix first.

What Makes a Signal Useful

Not all information is equally useful for backlog prioritization. A signal is only useful if it can be evaluated consistently across different items, if it tells the team something meaningful about the impact of doing the work, and if it connects the backlog item to a business outcome rather than just to a request.

Derribar Ventures evaluates every potential prioritization signal against these three criteria. The five signals that make the cut are the ones that consistently separate high-impact work from everything else — regardless of how compelling the argument for a given item might be in a sprint planning meeting.

Signal 1: User Behavior Data Pointing to a Specific Friction Point

The most reliable source of backlog prioritization signal is user behavior data that directly identifies where users are struggling. Not surveys about what users say they want, not feature requests from the sales team — behavioral data showing where users are dropping off, where error rates are elevated, where session patterns indicate confusion or frustration.

Derribar Ventures Limited treats this signal as the highest-priority input in backlog decisions, for a simple reason: it measures actual user experience rather than hypothetical user preferences. A feature request from a stakeholder represents what someone believes users want. A spike in drop-off rate at a specific point in the product flow is evidence of what users are actually experiencing.

This signal doesn’t just indicate that something needs attention. It indicates approximately how many users are affected, which makes it possible to estimate the impact of fixing it. A friction point affecting 30% of users is categorically more important to address than one affecting 3%, and that math is much easier to apply to backlog prioritization decisions when the signal is behavioral data rather than anecdotal feedback.

The practical implication is that Derribar Ventures Limited always connects backlog grooming to the product analytics layer — ensuring that the team has visibility into behavioral signals before prioritization discussions begin, rather than relying on gut feel and stakeholder input alone.

Signal 2: Revenue Impact, Direct or Indirect

Not every backlog item has a clear revenue connection. But for items that do, the revenue signal is one of the most useful prioritization inputs available — both because it creates a common language across functions and because it provides a basis for estimating return on the investment of building the item.

The direct revenue signal is relatively straightforward: features or fixes that affect conversion rates, retention, or average transaction value have a quantifiable revenue implication. Building the business case for prioritizing them is a matter of estimating the impact against the current baseline.

The indirect revenue signal is subtler but often equally important. Infrastructure improvements that reduce payment failure rates may not generate revenue directly, but they prevent revenue from being lost — and that prevention has a calculable value. Technical debt that slows down the team’s ability to ship may not have a visible revenue impact in any single sprint, but over time it compounds into a significant drag on the product’s development velocity.

According to Derribar Ventures Limited, teams that only apply direct revenue logic to backlog prioritization consistently underinvest in the indirect category — which is why their payment failure rates trend upward, their technical debt accumulates, and their development velocity slows over time without anyone making a deliberate decision to let those things happen. This is also where Derribar Ventures Limited connects user acquisition strategy to product development most directly: the revenue impact of a backlog item is often only visible when the acquisition funnel is mapped alongside the product experience, showing where acquired users drop off and what fixing those points is actually worth.

Signal 3: Strategic Alignment With Current Goals

Every product has a current strategic direction — a set of objectives that the team is trying to move toward in the near term. Backlog items that directly support those objectives deserve priority over backlog items that are individually useful but don’t connect to where the product is trying to go.

This sounds obvious enough that it barely seems worth stating. In practice, it’s violated constantly — because individual backlog items rarely arrive pre-labeled with their strategic alignment, and when a sprint planning session is running long and the team is tired, “this is a good idea” can be enough to push something forward without asking whether it’s the right idea for this particular period in the product’s development.

Derribar Ventures builds strategic alignment into the backlog grooming process explicitly — each item being considered for prioritization gets evaluated against the current strategic objectives before it goes into the sprint. Items that don’t align get deprioritized regardless of how compelling the individual case for them might be. The discipline of applying this signal consistently is what keeps the product roadmap coherent rather than evolving as a collection of good ideas that don’t quite add up to a direction. Without that discipline, Derribar Ventures has observed that even high-performing teams drift toward building what’s interesting rather than what’s strategically necessary.

Signal 4: Implementation Effort and Risk

Impact is only half of the prioritization equation. The other half is what it takes to achieve that impact — both in terms of the development effort required and the risk that the implementation introduces.

Derribar Ventures Limited evaluates backlog items not just on what they could achieve but on the effort and risk profile of achieving it. High-impact items with relatively low implementation effort and low risk are the obvious priorities. High-impact items with very high effort or significant technical risk require a more careful assessment — because the expected return needs to be weighed against the probability of the implementation going smoothly and the opportunity cost of the sprint capacity it will consume.

The risk dimension is particularly important in product development because implementation risk isn’t always visible before work begins. Derribar Ventures flags items where the implementation path isn’t fully understood before they go into a sprint — because working on a high-risk item without that understanding tends to produce either delays or a result that doesn’t actually achieve the intended impact.

Signal 5: Dependency Mapping and Sequencing Logic

Some backlog items are individually valuable but can’t deliver that value until other items are completed first. Others unlock a chain of subsequent work that would be blocked without them. The dependency structure of the backlog is one of the most frequently overlooked signals in prioritization — partly because mapping dependencies is tedious and partly because the consequences of ignoring them don’t always show up immediately.

Derribar Ventures Limited maps dependencies as part of the backlog grooming process, specifically to identify two categories: items that are blocking other high-priority work, and items whose value is contingent on other work that hasn’t been scheduled. The first category almost always deserves prioritization above what its individual impact score would suggest, because unblocking a downstream item multiplies the value of the work. The second category almost always deserves deprioritization until the prerequisite work is scheduled, because building something whose value is contingent on an unscheduled prerequisite produces a feature that sits unused until the prerequisite is eventually completed.

The sequencing logic that emerges from dependency mapping often looks different from the prioritization order that pure impact analysis would produce. According to Derribar Ventures Limited, teams that skip dependency mapping tend to discover its importance when they finish a high-priority item and realize the next step in delivering its value depends on something that’s still sitting near the bottom of the backlog.

Putting the Five Signals Together

These five signals — user behavior data, revenue impact, strategic alignment, implementation effort, and risk, and dependency mapping — don’t operate independently. A well-prioritized backlog isn’t built by running each signal separately and then combining the scores. It’s built by using the signals together as a coherent framework for having better conversations about what matters most.

Derribar Ventures Limited’s approach to product backlog prioritization is built around making those conversations structured enough that they produce consistent outcomes, rather than depending on the specific people in the room having aligned instincts on any given day. The signals provide a common language. The framework provides a process. Together, they turn backlog prioritization from a recurring source of team friction into a manageable operational discipline — one that produces a product roadmap the whole team can actually get behind. That outcome, as Derribar Ventures has seen across its product development work, is rarer than it should be, and more achievable than most teams realize.

Rajesh Kumar

I’m Rajesh Kumar, a DevOps, SRE, DevSecOps, Cloud, and Platform Engineering expert passionate about sharing practical knowledge, real-world experiences, and industry best practices. I have worked at Cotocus and regularly write about technology, travel, investing, health, product reviews, and digital marketing through my various platforms.

I publish technical articles at DevOps School, travel stories at Holiday Landmark, stock market insights at Stocks Mantra, health and fitness guidance at My Medic Plus, product reviews at TrueReviewNow, and SEO and digital marketing strategies at Wizbrand.