Monday Myth: Faster Delivery Means Quick-and-Dirty (or Expensive)

There is a persistent myth in IT, particularly in startups and scaleups:

If you want to deliver faster, you must either cut corners or accept exploding costs.

It usually hides behind the famous triangle: Fast – Cheap – Good. Pick two.

The triangle sounds wise. In practice, it mostly shields fragile systems from scrutiny.

Speed Is Not the Enemy. Fragility Is.

When faster delivery forces teams to compromise quality, speed is not the root cause. The underlying system cannot tolerate movement. In decaying ecosystems, every attempt to accelerate amplifies structural weaknesses:

• unclear ownership
• brittle infrastructure
• long feedback loops
• vague definitions of done
• deferred responsibility

Under these conditions, speed feels dangerous. Organisations respond by slowing down planning or, worse, by rushing execution while quietly degrading quality.

That pattern does not reflect speed. It reflects panic.

Customer-Centric Delivery Implies a Moving Target

Incremental delivery of business value requires alignment with customer reality rather than internal plans. That choice carries consequences many organisations resist:

• decisions must evolve
• infrastructure must adapt
• assumptions will fail
• some work will require revision or reversal

None of this signals failure. It reflects reality.

Attempts to freeze scope through waterfall planning or oversized milestones rest on a false premise: full understanding of the problem space in advance.

Markets shift. User behaviour surprises. Regulations change. Edge cases surface. Pretending otherwise replaces engineering with fiction.

Direction Matters. Prediction Does Not.

Direction provides orientation. Without it, teams drift. Direction, however, does not equal a detailed map. Think of steering a ship:

• a heading matters
• winds remain unknown
• icebergs appear late
• unplanned obstacles emerge

Progress depends on taking the next safe, meaningful step. Each step must remain narrow enough to:

• deliver tangible customer value
• validate assumptions
• close feedback loops
• satisfy a rigorous, customer-focused definition of done

Occasionally, the next step forces revision of a previous one. That cost remains acceptable.

What never pays off involves inventing certainty where none exists.

Incremental Does Not Mean Sloppy

A simple prime directive applies:

If it is not in production, it has no value.

Production, however, does not mean at any cost.

Reaching production only matters when a precise definition of done protects the customer and enables fast feedback. Incremental delivery does not lower engineering standards. It raises them. Sound incremental delivery relies on discipline:

• test coverage at the appropriate level
• canary deployments
• SLO-driven alerting
• production visibility
• fast rollback paths

This definition of done serves two purposes simultaneously:

• it protects customer expectations
• it shortens feedback loops without compromising safety

These practices do not slow teams down. They remove uncertainty. And skipping them does not signal pragmatism. It signals a gamble placed on the customer.

The Real Scam: Big Plans and Fake Speed

Trouble starts when organisations try to:

• understand everything in advance
• lock large milestones
• delay feedback
• compress delivery at the end

This pattern produces poor outcomes while claiming speed.

That is not delivery. It is a con.

Time lost upfront returns as pressure later.

A Simple Analogy

Few passengers would board an aircraft that offers:

• a single black box
• no redundancy
• minimal instrumentation
• no early warning systems

Yet the past 30 years a growing number of IT organisations have been imposing this exact setup on their customers by removing safeguards in the name of speed, then acting surprised when failures occur.

Speed without redundancy equals recklessness.

Speed with discipline equals professionalism.

The Real Investment: Leverage and Predictability

The smart move does not involve pushing teams to work faster. It involves adopting habits and standards that create leverage. This is where platform teams matter. Effective platforms:

• encode good practices into defaults
• remove accidental complexity
• make the correct path the easiest path
• enforce standards through automation rather than reviews

This approach represents programmatic governance.

Not meetings.
Not slide decks.
Not approval chains.

Why Reviews Do Not Scale, but Governance Does

Manual reviews compensate for missing guarantees. They exist because systems fail to assure quality by construction. As organisations grow, reviews become:

• slower
• noisier
• political
• inconsistent

They create the appearance of control while steadily eroding flow.

Programmatic governance reverses that dynamic:

• rules stay explicit
• enforcement remains automatic
• outcomes stay consistent
• feedback arrives immediately

Well-designed systems do not request permission. They prevent or penalise bad states by design.

Concrete Examples of Leverage

Leverage operates mechanically rather than conceptually.

Examples include:

• CI pipelines that block changes without required tests or contracts
• schema registries that reject breaking changes by default
• deployment guardrails enforcing progressive rollout
• SLO-based alerting integrated into release decisions
• automated rollback when error budgets breach thresholds

None of these mechanisms slow delivery. They remove negotiation, debate, and most importantly, they remove heroics.

Speed vs Predictability

Many IT organisations move slowly not because they act cautiously, but because they avoid investing in leverage. Speed-driven organisations optimise locally:

• pressure increases
• deadlines compress
• urgency dominates

Predictability-driven organisations optimise systemically:

• platforms receive investment
• discipline becomes structural
• standards apply consistently

As predictability improves:

• feedback loops shorten
• delivery becomes continuous rather than episodic
• learning accelerates
• decision quality improves

Regular, disciplined delivery aligned with real customer demand creates something rare in IT: control.

Feedback stops arriving late or through anecdotes. It becomes fast, factual, and continuous. This outcome does not rely on illusion. It emerges from systems designed to move safely.

More leverage leads to stronger predictability.
Stronger predictability leads to tighter control over time to market.

Not faster TTM.
Controlled TTM.

Predictable delivery outperforms heroic delivery every time.

That remains the real investment.
That discipline keeps incremental delivery sound without slowing progress.