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Discovery & Value Engineering

Know what the work is worth before you commit to it.

Most digital spend is committed before anyone has put a number on the return. A discovery costs a fraction of the build and changes what gets built — it produces a costed value model, a plan ranked by payback, and the measures success will be judged on. There are three ways in: a free 60-minute lite discovery, a discovery built into a project or managed service, or a fixed-price standalone engagement.

Discovery & Value Engineering — service sheet A one-page PDF: what it is, the value it creates, and the outcomes.
Download · coming soon

What Discovery & Value Engineering delivers

Free 60-minute lite discovery

No charge and no obligation. One 60-minute session that leaves you with a current-state view, a gap analysis and an initial value-at-stake estimate — whether you work with us or not.

Discovery inside a project or service

Every project and managed service opens with a discovery. It is built into the engagement rather than priced separately, so the work is scoped against evidence from day one.

Fixed-price standalone engagement

The full engagement, delivered in weeks: the value model, the ranked plan, the costed sequence and the agreed measures. Priced up front, and useful whoever ends up building it.

Representative stack

Google FormsGoogle SheetsRetoolClaudeOpenAIPerplexity

See the full technology stack & how we select it →

Generative, RAG and Agentic

Three different things \u2014 most businesses need more than one.

DMAIC

Define, Measure, Analyse, Improve, Control — the improvement method used where a process already exists.

When you need it: Use it when something works but underperforms. It isolates the real constraint before anyone spends money changing the wrong thing.

DMADV

Define, Measure, Analyse, Design, Verify — the design method used where a process has to be created from nothing.

When you need it: Use it when there is nothing to improve yet. It designs the process against a measured target rather than against an opinion.

Value engineering

Putting a defensible number on what a change creates, enhances or protects, before the budget is committed.

When you need it: It turns a wish list into a ranked plan, so options are compared on payback rather than on who argued hardest.

Value at stake

The measured cost of leaving something as it is — the revenue, time or risk exposure carried by the current state.

When you need it: Doing nothing is a decision with a price. It puts the cost of delay next to the cost of the work.

Generative, RAG & agentic AI explained →

Drive Growth
Reduce Risk
Improve Efficiency
Increase Value

Capability Maturity — we walk you up the five levels

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Level 1 · Initial — reactive — firefighting; success rides on heroicsLevel 2 · Managed — planned per team — results still inconsistentLevel 3 · Defined — standardised — repeatable, fewer deals lost to chaosLevel 4 · Quantitatively Managed — measured — forecast with confidenceLevel 5 · Optimising — self-improving — compounding margin & advantage

Operated at Level 4 · Quantitatively Managed — measured, predictable and owned. We track this rank and raise it over time. See the five levels →

Why this matters

Functional value, value-stream value — and why it can't be ignored.

Functional value

Finds where the value is, sizes it, ranks it by payback, and produces a costed and sequenced plan with the measures agreed before anything is built.

Value-stream value

The entry point to the whole value stream: every module that follows is priced against the value model this produces, so budget goes to the largest return rather than to the loudest voice.

Why you can't ignore it

Commit six figures without a value model and you find out what the work was worth only after paying for it. Scope gets agreed in a meeting, the business case gets written after the decision, and nothing is measurable afterwards because nothing was measured first.

One data layer · measured & owned

Every service creates data — captured, measured, owned.

Discovery & Value Engineering doesn’t just run — it generates signal. We land that data in one warehouse and turn it into live KPIs tied to a named owner, so performance is attributable and acted on, never trapped inside a single tool.

Data warehouse

Supabase Snowflake Keboola BigQuery

KPIs, dashboards & apps

Plotly Retool Apache Superset

Platform-agnostic — we connect what you already use and add a warehouse only where it earns its place.

How we select technology

We choose technology last — for the outcomes it has to earn.

Never tech for its own sake. A tool joins the stack only where it measurably protects value, cuts cost or unlocks speed — fit to a designed system, owned where it counts, and measurable from day one. How we select technology →

Speed

Modern, edge-served stacks are sub-second. Slow surfaces cost conversion and SEO every single day.

Cost

Cut licence, hosting and per-task SaaS fees — pay for capability, not lock-in or idle enterprise tiers.

Security

Flat, edge architecture with almost nothing left to attack — fewer moving parts, smaller surface.

Ownership & no lock-in

Composable and self-hosted where it counts — you own the system, not rent someone else’s.

Measurability

Clean data and KPIs baked in — you cannot improve, automate or apply AI to what you cannot measure.

Fit to process

The right tool for a designed system — selected against process readiness, so it amplifies, not adds friction.

How we deliver · DMAIC

Every Discovery & Value Engineering engagement runs on DMAIC.

Define the goal and its value, measure the baseline, analyse the real constraint, improve with a proven build, then control the gains — so results are predictable, repeatable and defensible, not down to luck.

DDefine

Agree the goal, value, budget & timescale up front.

MMeasure

Baseline the KPIs above — current state, not guesswork.

AAnalyse

Diagnose the real constraint and the solution needed.

IImprove

Build the chosen solution; prove the uplift.

CControl

Lock in the gains; monitor and sustain them.

FAQ

Common questions

What is Discovery & Value Engineering?

Most digital spend is committed before anyone has put a number on the return. A discovery costs a fraction of the build and changes what gets built — it produces a costed value model, a plan ranked by payback, and the measures success will be judged on. There are three ways in: a free 60-minute lite discovery, a discovery built into a project or managed service, or a fixed-price standalone engagement.

Why does Discovery & Value Engineering matter?

Commit six figures without a value model and you find out what the work was worth only after paying for it. Scope gets agreed in a meeting, the business case gets written after the decision, and nothing is measurable afterwards because nothing was measured first.

How does Sentry deliver Discovery & Value Engineering?

Finds where the value is, sizes it, ranks it by payback, and produces a costed and sequenced plan with the measures agreed before anything is built.

What do I get with Discovery & Value Engineering?

Free 60-minute lite discovery: No charge and no obligation. One 60-minute session that leaves you with a current-state view, a gap analysis and an initial value-at-stake estimate — whether you work with us or not. Discovery inside a project or service: Every project and managed service opens with a discovery. It is built into the engagement rather than priced separately, so the work is scoped against evidence from day one. Fixed-price standalone engagement: The full engagement, delivered in weeks: the value model, the ranked plan, the costed sequence and the agreed measures. Priced up front, and useful whoever ends up building it.

Start here · the free first step

Discovery & Value Engineering starts the same way every engagement does: with Discovery.

Two distinct moves — a free, no-obligation Discovery Session to find your value at stake, then the Discovery & Blueprint: 14 structured outputs — value model, roadmap and business case — before a pound of delivery is committed.

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Discovery SessionFree · no obligation
2
Discovery & Blueprint14 structured outputs

Engaged alone or as one engine

Every service is outcome-led, with measurable targets agreed at the outset.

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