When Engineers “Improve” the Product into Oblivion

How feature creep, missing change control and weak specs create waste — and sometimes sink companies.

Engineers and developers love to make things better. That’s the job. But there’s a dark side: when “make it better” becomes “add everything possible,” products grow more complex, delivery slips, maintenance costs explode — and the customer often never pays for the extra work. The result is double cost: (a) you build things the customer didn’t ask for; (b) your engineering team is taken away from true value-adding work.

Below I explain the practical danger, show real examples from the press, and give a concrete prevention playbook (specs, checkpoints, governance, contractual levers) you can implement tomorrow.


Two media-reported cautionary tales

Juicero — the poster child for over-engineering
Juicero built an expensive, internet-connected juicer that squeezed proprietary packs. Customers and journalists discovered the packs could be squeezed by hand — making the $400 machine redundant. The company raised ≈$120M, saw terrible press and had to shut down. This is classic over-engineering + product-market mismatch: lots of engineering, little customer value.

Quibi — big spend, wrong product fit
Quibi raised roughly $1.7–1.8B to build a premium short-form video platform. Despite A-list content and technical polish, it failed fast: the product didn’t map to how people used mobile video (user behaviour + pandemic effects), adoption lagged, and the venture shut down within months. This shows that high engineering and production investment won’t save you without product-market fit.

These cases are different — hardware and platform content — but they share the same root causes: unclear or optimistic specs, insufficient validation with users/operations, over-investment in non-differentiating features, and weak change control.


What it costs (concrete impacts)

  • Direct development cost for unbilled features (engineer hours × fully-loaded rate).
  • Opportunity cost: engineers not available for revenue-critical work (lost feature velocity).
  • Time-to-market delays — losing first-mover advantage or missing seasonal demand.
  • Technical debt & maintenance burden — more bugs, longer regression tests, higher support cost.
  • Customer confusion & training cost — more features → steeper learning curves.
  • Reputational & financial risk — from failed launches, lost customers or public embarrassment.

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Why this happens (the mechanics)

  • Gold-plating mindset: engineers add “nice to have” improvements because they can – and it’s fun.
  • Weak requirements discipline: vague or verbal specs (“we need it to be faster / nicer”) without measurable acceptance criteria.
  • No change control process: ad-hoc requests go straight into developer queues with no cost/time impact logged (no change orders).
  • Poor prioritization: lack of value-based prioritization (cost of delay, ROI).
  • Incentives misaligned: teams rewarded on feature count or engineering metrics rather than customer outcomes or margins.

The concrete guardrails (checklist you must implement)

Product & Requirements

  1. Lastenheft / Pflichtenheft (Requirements Document)
    o Lastenheft (what the customer needs / business requirements) → signed by Product Owner / Customer.
    o Pflichtenheft (how supplier will meet those needs / technical spec) → signed by Engineering Lead and Customer.
    o Include measurable acceptance criteria (performance numbers, conformance tests, UI workflows).
  2. Traceability Matrix
    Map every requirement to design items, tests and acceptance criteria. This prevents “hidden” features sneaking in.
  3. Definition of Done & Acceptance Tests
    No feature considered done until automated/manual acceptance tests pass and customer signs off.

Change Management & Governance

  • Formal Change Request (CR) / Engineering Change Order (ECO)
    Every deviation from spec or new request must be logged as a CR with: description, business value, effort estimate, impact on schedule/cost, owner. No work without CR approval.
  • Change Control Board (CCB)
    Weekly CCB (product + engineering + finance + sales + legal) to approve/reject CRs. Thresholds: small changes = PMO approve; large changes = executive sponsor sign-off.
  • Freeze Dates & Stage Gates
    Requirements freeze for each release; late changes routed through CCB and must pass a risk/benefit gate. Use incremental releases (MVP → pilots) rather than big-bang.

Prioritization & Economics

  • Value & Cost-of-Delay Prioritization
    Use WSJF (Weighted Shortest Job First) or Cost-of-Delay to rank backlogs; include maintenance and technical debt as items.
  • Feature ROI & Payback Calculation
    For any requested feature, require a short ROI or payback note: projected revenue, margin improvement or cost reduction.

Delivery & Quality

  • Pilot & Customer Validation
    Put new features into a pilot group (representative customers/shops). Measure adoption & operational impact before scaling.
  • BOM & Configuration Freeze (hardware)
    Freeze Bill-of-Materials prior to production. Any ECO to BOM requires sign-off and a cost/rework estimate.
  • Release Risk Registry & Smoke Tests
    Maintain a risk register; pre-release smoke tests for critical flows. If risk > predefined threshold, hold release.

Contract & Commercial

  1. Change Order Clauses in Contracts
    Clearly define scope, change order process, billing rates for out-of-scope work and acceptance criteria. No invoicing without signed acceptance.
  2. Acceptance & Warranty Gates
    Define formal acceptance procedures (UAT / FAT / SAT) and linked payment milestones.

People & Culture

  1. Product-Engineering Partnership
    Embed a Product Owner who owns the backlog and business outcomes, authorized to say “no”. Train engineers on the commercial consequences of gold-plating.
  2. Incentives
    Reward outcomes (customer adoption, margin) not just feature velocity. Recognize engineers who simplify.

Example governance workflow (fast version)

  1. Requirements written & signed (“Lastenheft”).
  2. Engineering produces specs (“Pflichtenheft”) + effort estimate.
  3. Baseline agreed and BOM released.
  4. Dev proceeds; any new ask → CR → CCB within 3 days.
  5. Small CRs processed by PMO (documented); medium/large CRs require sponsor approval and updated timeline/cost.
  6. Pilot in controlled environment; acceptance tests executed.
  7. Production roll-out once pilot KPIs met.

Hard truths and caveats (alternative viewpoints & uncertainties)

  • Not all customization is bad. Some features are differentiators. The guidance above is not “no customization” — it’s: choose it consciously with full visibility of cost, risk and upgrade impact.
  • Regulation & safety can force extra work. In medical, aerospace or food, some extra engineering might be non-negotiable. Those cases need early alignment with compliance experts and likely a different commercial model.
  • Market signals can change fast. Occasionally you must pivot and add features; the key is for pivots to follow the change control path and be time-boxed and ROI-oriented.

Bottom line (what to do tomorrow)

  1. Implement a simple Change Request form and CCB (even a one-hour weekly meeting) — stop untracked scope drift immediately.
  2. Require a 1-page ROI for any non-trivial feature before committing engineering hours.
  3. Pilot big features in a controlled environment before full roll-out.
  4. Add a “no work without CR” rule and enforce it for one month — you’ll see the backlog clear and true priorities emerge.


I can help you design your requirements and processes around this topic, run implementation workshops and save you potentially millions.

If this resonates – let’s talk.

If the situations I describe sound familiar—and you’re unsure what the next step should be—let’s connect. I help executive teams create clarity, focus, and momentum in complex transformation environments.