Knowledge & Capability · Industry Research
Research that shows its working.
Industry Research is one of the four Knowledge & Capability offerings: the evidence, benchmarking and foresight commercial leaders need to make a significant decision defensible. This page sets out what NatQuest’s research covers, the standard every output has to clear, and how to tell whether you need it.
Commercial IntelligenceCommercial Intelligence is the disciplined application of artificial intelligence, trusted data, market insight and commercial judgement to decisions that create, protect or recover organisational value. How it works →
What it covers
What kinds of research does NatQuest produce?
Four evidence products. Each stands alone; together they cover a market from the outside in: what the tender market is doing, what the supplier market is doing, how a position compares, and what is coming next.
Tender-market analysis.
Supply-market intelligence.
Benchmarking.
Foresight.
Who it’s for
When do you need commercial research rather than an internal view?
Five signals. Any one on its own is common. Several together usually mean the gap is evidence, not effort.
- A negotiating position is set with nothing outside the room to test it against.
- A tender strategy is built on last time’s experience, not on what the market is doing now.
- A regulatory change lands on whoever happened to notice it first, not on a standing watch.
- Supplier risk gets discussed anecdotally, because nobody holds a current, structured view of the market.
- A number appears in a board paper, and six months later nobody can say where it came from.
Related
How research connects to the rest of Commercial Intelligence.
NatQuest works through three connected capability areas and 12 offerings. Each can be bought alone; the value compounds when they run together.
Technology.
Platforms and assistants that run tendering, contract and supplier work under audit.
OpenTender.AI · Contract & Supplier Intelligence · Commercial AI Assistants · Commercial Intelligence Platform
Advisory & Transformation.
Strategy, operating models and delivery that move commercial performance.
Commercial Intelligence Strategy · AI Adoption & Transformation · Procurement & Supply-Chain Transformation · Commercial Operating Models
Knowledge & Capability.
Standards, benchmarks and applied programmes that keep the capability in-house.
Commercial Intelligence Academy · Commercial Intelligence Standard™ · Commercial Intelligence Maturity Model™ · Industry Research
All 12 offerings.
Every NatQuest offering, grouped by capability area, on one page.
Governance by design
How does research stay accountable.
Research helps a decision only if a reviewer can check it. NatQuest research follows the same governance as every other part of our work.
A named person accountable.
A named senior adviser is accountable for every recommendation. Our systems extend an adviser’s reach; they do not stand in for their judgement.
Traceable to evidence.
Every recommendation traces back to its evidence, every output is cited and every assumption is stated, so the reasoning holds up when it is reviewed months later.
Under your governance.
Our systems run inside your infrastructure, under your governance, with auditability designed in rather than retro-fitted once someone asks for it.
The capability stays.
Your team keeps the skills, ownership and evidence trail when the engagement closes, so the work can be repeated without us.
Common questions
Frequently asked.
What is Commercial Intelligence research?
NatQuest’s research turns market, supplier, tender and spend data into evidence for commercial decisions: tender-market analysis, supply-market intelligence, benchmarking and foresight. Every output is cited to its source, and every assumption beyond the raw fact is stated rather than folded into the finding, so a reader can check it independently.
What is tender-market analysis?
Tender-market analysis reads how tender and framework activity actually behaves in a market (competitive dynamics, award patterns and how a call-off route is likely to play out), built from public procurement records such as contract notices and framework agreements rather than internal assumption.
What is supply-market intelligence?
Supply-market intelligence is a structured, current view of a supplier market (capacity, concentration, pricing movement and risk), built by combining supplier-facing sources with an organisation’s own spend and contract data, so a sourcing decision is informed by the market as it is now, not as it was assumed to be.
How is every research output cited and traceable?
Each finding is built from a primary source (a register, filing, framework page or spend record), checked against that source on a stated date. Where the analysis goes beyond the raw fact, the inference is stated explicitly rather than folded into the number, and the source is attached to the output so a reader can check it directly.
Does NatQuest publish its research?
Yes. Published articles and insights are on the Insights page, each carrying its own sources where the analysis draws on external fact. For example, the piece on what G-Cloud 15 changes for public sector buyers cites the Government Commercial Agency and the Procurement Act 2023 throughout. Representative engagement themes are published the same way, clearly marked as such; named client work is shared only with the client’s written approval.
How does research connect to advisory, technology and capability?
Industry Research is one of the four Knowledge & Capability offerings, and it supplies the evidence the rest of NatQuest works from: it informs what advisory recommends, shapes what technology is built to do, and gives capability teams something real to build judgement against. Each offering still works alone; run together, the evidence compounds because research feeds the same standard across all three capability areas.
How is NatQuest’s benchmarking different from a generic industry report?
A generic report benchmarks against an undefined average. NatQuest states the reference set explicitly (what a figure was compared against, and when) so a reader can judge whether the comparison actually applies to their situation, rather than accept a percentile with no visible basis.