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    You are at:Home»Technology»Estimates are difficult for developers and product owners
    Technology

    Estimates are difficult for developers and product owners

    TechAiVerseBy TechAiVerseDecember 7, 2025No Comments12 Mins Read4 Views
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    Estimates are difficult for developers and product owners

    Product Owner: Hey, how long do you believe Feature F will take?

    Developer: Idk. We haven’t even started working on it and it’s bound to stir up some old issues.

    Estimates come in various disguises, but when you peek under the trench coat there is always the question:

    “How long — and using what amount of resources — will be required to do X?”

    When I wear the developer hat, it can be infuriating to attempt to give an answer. It’s difficult to estimate (or the
    product owner could do it themselves) and a lot of the time it can be difficult to see why the estimate is even
    important.

    When I wear the product owner hat, estimates are a crucial piece of the puzzle that must be laid in an attempt to plan
    the short and long term life cycle of a product.

    In this post I want to attempt to explore and elaborate on both sides, in an attempt to make developers understand why
    estimates are important to product owners
    and in order to help product owners see why developers so often despise
    having to estimate their work
    .

    Why the PO wants you to estimate

    As a Product Owner (PO), I am responsible for learning the market and customers’ needs and translating these into
    feature requests which developers can turn into actual features in our products. The means varies, but most
    organisations have some sort of backlog in which things to be acted upon are placed while they await being picked up
    by some developer or development team. We call these things user stories, issues, tickets, tasks, and probably many
    other things
    … The important thing for this discussion is that the items in the backlog are candidates for being
    implemented in our product and it’s the PO’s job to prioritise the backlog.

    Why does the backlog need to be prioritised?

    Because the inflow of items to the backlog is (pretty much always) higher than the speed at which the developers can
    implement them. Ergo, if the PO does not constantly learn the market and customers’ needs and prioritise the backlog
    accordingly, the developers might implement features that the users of the product are not interested in. Worst case?
    Existing users stop using the product and no new users buy it which will ultimately lead to bankruptcy.

    But what about the estimates?

    The above makes sense – I hope – but it doesn’t really pinpoint the need for estimates. Unfortunately, the job of a PO
    is not as easy as always prioritising in accordance to whatever the market wants. More often than not, the PO must also
    consider pre-communicated release dates and manage expectations.

    I hate when release dates are communicated in advance. The only thing worse than release dates that are set in stone
    months ahead of time (I’m looking at you, Mr 12-week-increments-SAFe) are releases with pre-communicated content.
    Unfortunately, both are common. Often combined.

    Imagine a backlog in which resides a really big feature. Something that is sought after, but will take a lot of time and
    resources to implement. The same backlog has a handful of smaller features which are not as requested as the big one.
    The PO would really like to include the big feature in the next release, but the next release date is not so far away.
    If the PO prioritises the big feature but it’s not done in time for the already communicated release date, the release
    will be severely lacking and considered a failure. In that case, the PO would rather include a couple of the smaller
    features. A safer bet, but the payoff is smaller.

    THIS is why estimates matter so much to product owners. They must constantly run the above equation when they
    prioritise the teams’ backlogs. A constant risk/reward balancing act. They undoubtedly need help from the experts (the
    developers) to better understand the ramifications of the features they are proposing. If POs do not understand how big
    different work packages are, they cannot do their jobs in an effective way.

    It gets worse

    Instead of one PO there are now a couple of them. They are responsible for different parts of a larger product which
    requires the POs to coordinate both the date and the content of their releases. There is probably a main backlog
    describing upcoming features in the final product, as well as team backlogs where each team are assigned puzzle pieces
    which must be implemented and integrated in a coordinated fashion.

    This is painful in multiple ways, but the most obvious issue is that – in order to have a functioning release – the
    POs must agree on the prioritisation of the main backlog and this will in turn affect the prioritisation of the team
    backlogs
    . The POs must each acquire information about how long it will take (and how costly it will be) to implement
    and to integrate the puzzle piece(s) they are responsible for into a cohesive feature. The tool for acquiring this
    idea?

    Estimates.

    Technical debt

    Programming is a craft. An art. My art, to some extent. I’m in my happy place when I get to succumb to a tricky task and
    surface a couple of days later with a solution to a problem that initially seemed impossible. As a developer, I want to
    build the best possible product. I dislike shortcuts. Half-arsed solutions. Fixes. Not because a single shortcut or
    fix will destroy a product, but because the technical debt they
    incur will accumulate over time and eventually erode the product from the inside out; making it ever more difficult to
    work with it and ultimately cause it to break.

    Technical debt is – I believe – the main reason for conflict between a PO and a development team. A not so technically
    inclined PO will fail to see how detrimental technical debt is to the product and how painful it is for the developers
    to work in a code base with a high amount of debt.

    Put in other words: If I’m tasked with implementing a new feature and I come across something in the code that is
    obviously smelly, error prone, or just not very good, I want to leave the code in better shape than I found it. Not
    taking time to “payoff” such debt once might not be the end of the world, but the hard coded quick-fix that you know
    ought to be generalised will likely bite you down the road. And if you have ignored updating dependencies for a couple
    of months and find yourself in a situation where you need to upgrade Package 1, but it depends on a newer version of
    Packages 2 & 3, which in turn requires a framework upgrade… Let’s just say the feature you’re working on will take
    a while longer.

    Why developers HATE estimates

    When a PO asks: “How long will it take to implement Feature F?”, they aren’t just asking the developers to estimate
    the amount of time they think it will take to write the code for the feature. A good PO understands that implementing a
    new feature is an iterative process and that integration hell is a thing. An even better PO understands that they are
    also asking the team to estimate how many unforeseen issues they will encounter while implementing the feature.

    This detail: The unforeseen issues, which the PO asks the developers to foresee, is key. It is – per definition –
    not possible to foresee something unforeseeable.

    Many developers I’ve met dislike uncertainty. One of the things they appreciate most about coding is the deterministic
    aspect of it. You run the same program again and again and it returns the same results.1 The journey on
    which we travel while writing the code is, however, not particularly deterministic.

    It is true, that the more you code and the more familiar you get with a codebase, the more accurate your estimates will
    be. However, just the other day I was working on an issue which I had estimated would take approximately two days. All
    of a sudden, I realised that the simple change required updating a shared component that had been tightly coupled years
    ago. When I touched that code, dozens of failing tests appeared, each revealing another hidden dependency. Fixing those
    uncovered yet another module depending on outdated patterns. Halfway through, we decided we had to refactor the entire
    flow just to make the original change safe. My “two-day task” turned into two weeks of archaeological software
    excavation.

    Could we have solved this quicker by not caring so much about the amount of technical debt we left in our wake?
    Probably.

    Would we have encountered a two month excavation in the future? Probably.

    It gets worse

    According to Merriam-Webster: estimate is defined as:

    To judge tentatively or approximately the value, worth, or significance of.

    The very definition of estimates tells us that they are either tentative or approximate. As a developer, I choose
    to interpret the or as meaning that it could even be both.

    When I started my career as a software developer, I really did not have an issue with estimates. We would refine our
    backlog and I would gladly give an estimate on various items. (1) Because I was fresh out of university and wanted to
    prove myself by doing a good job and not being too difficult, but more importantly: (2) because I had not understood
    that my estimates would soon be used against me.

    I soon learned that my team’s estimates were not interpreted and used as estimates. They were used as deadlines. If
    we broke down a feature into its reasonable components (an error prone science, which introduces uncertainties, on its
    own) and estimated the parts accordingly, the PO would often take the sum of the parts and communicate it to their
    colleagues as: “This is the time we will be done.”

    Two things came out of this:

    1. My team (consisting mostly of newly graduated developers) became much more reluctant to estimate.
    2. When we estimated we always padded our actual beliefs, significantly, to give ourselves a buffer.

    The estimates stopped being estimates. They became safety railings against being held accountable for unreasonable
    expectations.

    The clash

    Do you see the problem?

    Do you see a solution?

    I believe the overarching problem with estimates stems from expectations. Somewhere, someone, communicates something
    to the users/customers of the product, which sets expectations the rest of the organisation are then forced to live up
    to. In a small company, it might very well be the PO who does that communication but in a larger organisation the PO is
    likely as helpless as the developers w.r.t. having a say about the product’s roadmap.

    The “solution” is simple: Stop communicating new features in advance. Stop setting more or less arbitrary
    deadlines2. Let the PO tell the developers what features they want, in what order, and let the developers do
    what they do best: Code!

    But these deadlines are there for a reason. If your company builds a product which assists people doing their yearly tax
    returns, a missed delivery window will result in the entire revenue opportunity for that year being missed. Resources
    (most often in terms of salaries to employees) will have been poured into a project and if there’s no payoff in terms
    of additional sales, it could lead to a need for finding other ways to reclaim those resources; often in terms of
    reduced costs, which universally means: lay-offs.

    Therefore, it’s in everyone’s best interest to play along. We play the estimates game even though it’s a bad way (but
    also the best we know of) to help each other do our respective jobs.

    What about DevOps?

    You didn’t think I’d miss an opportunity to talk about DevOps, did you?

    Flow is a key concept within DevOps which describes an organisation’s ability to reduce bottlenecks and increase the
    pace at which they are able to deliver new versions of their product(s). High flow is synonymous with frequent
    deliveries and updates of our product(s).

    The concepts from DevOps do not directly address the issue with estimates, but there are tools which can be used to
    reduce the risk associated with delivering software. Flow can inform how we tackle technical debt and how we make sure
    we don’t fall behind on our dependencies. Flow can also help us identify issues in our product’s life cycle as well as
    help us understand how to get rid of the issues.

    Flow is one of The Three Ways in
    DevOps and if you want to learn more, feel free to reach out. I give presentations on various topics related to DevOps
    and I can come to your company and give a course about DevOps tailored to your company’s needs.

    Conclusion

    Estimates – as defined in the English language – isn’t really the problem here. The problem is when estimates are
    treated as predictions, deadlines, and used to put pressure on developers who are just trying to do their jobs.
    Estimates – the way they are used in our industry today – hurts people and reduces the psychological safety in our
    organisations. I believe we would be better off if we could work in a way that allows developers to be transparent and
    continuously communicate updated estimates as development progresses.

    Then again, product owners are people too! As developers we must understand that POs are under pressure too. We must
    help them and the best way to help them is to continuously provide them with updates about how development is
    progressing and whether we have encountered anything that we believe will significantly alter the original estimate we
    gave.

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