Every category a buyer already knows would describe us wrongly.
We are not customer-experience software, because software alone changes nothing. We are not a consultancy, because the analysis does not leave when we do. We are not an outsourcer, because the operating work follows from the evidence rather than preceding it. What we are is new, and it is worth naming precisely.
We call it
Evidence-Led Growth
Turning what customers say and do into implemented improvements that help the business grow.
The old way
Customer evidence sits across tools and teams, so fragmented that no one can comb through it all. The business is left to connect the dots, justify changes and get them made.
The new way
Connected customer evidence becomes a case for change, and the improvement is carried through implementation and measured.
The vision
A business that grows stronger because customer evidence shapes what it does next.
Every interaction, review, social mention and record, read together. All of it, not a sample.
Not what happened but why, and where responsibility sits, which is usually between two functions rather than inside one.
Every finding carries two numbers in the currency the board uses: avoidable cost and revenue at risk. Materiality decides the order of work.
A baseline before and a measured result after, in the same conversations. If the change did not move the number, that is our finding to report.
Your customers are telling you how to grow.
They tell you what stops them from buying, what keeps them from buying more and what sends them somewhere else. They also tell you what's great and what you should keep doing more of.
Yet businesses keep paying to win new customers, lose them to problems other customers already explained, then pay again to replace them.
The evidence isn't missing. It's scattered. Intent in web analytics. Sales in CRM. Money in billing. Complaints in case management. Sentiment in surveys. Retention somewhere else again. Every system is fluent in its own fragment and mute about the relationship.
Nobody can price the gaps. Without a way to express a cross-functional failure in money, it never competes for investment against a roadmap item with a business case. So it persists for years, quietly.
The biggest ones cross boundaries. A service problem that originates in fulfilment, caused by a promise made in marketing, priced by a decision in finance. Too large for one function to fix, too diffuse for any function to own.
Consumer brands are where this is solvable. Brands and retailers that sell, fulfil and support their own customers own the whole relationship, so the evidence and the ability to intervene sit inside one organisation. The thesis only works where both are true, which is why we work here.
And it is now practical. AI can connect customer conversations, reviews and social feedback with purchase and operational data at a scale manual investigation never could, revealing patterns individual teams and channels miss.
None of these are wrong at what they do.
Each is structurally unable to do the thing a consumer brand most needs: connect the evidence to a consequence, decide what deserves investment, and carry the change across teams.
Analytics, surveys, reviews and QA each hold useful evidence. Nobody connects it to business consequences or owns the change across teams.
We read all of it together and send each finding to the function that owns the cause.
Connect customer evidence with revenue and action workflows, then hand the business a dashboard. Interpretation, prioritisation and the work remain the client's problem.
QiQ comes with the experts who act on it. You get a costed recommendation and help making the change, not another dashboard.
Diagnose well and leave. The analysis decays from the day it is delivered, and nothing in the engagement measures whether the recommendation worked.
Our analysis is a running system, not a document, and we stay through implementation and measurement.
Sell a function at a unit price and are rewarded for volume, including the volume a fixed root cause would have removed.
We operate a function only where the evidence says we should, and we are measured on the demand disappearing.
Built to hold the whole chain.
Our approach in fullThere is no engagement without the platform. It is what makes our findings repeatable and our claims falsifiable, and why the second year of a relationship is worth more than the first.
Engineers who have run the front line for consumer brands embed in your business, configure the platform and scope the problem. Software cannot learn an organisation on its own.
We operate a function, design the change with your team, or bring a specialist, chosen on the evidence, never on what we happen to sell.
The platform's value compounds with knowledge of one industry: its terminology, data, failure modes and benchmarks. A generic platform sees dissatisfaction; ours sees a carrier tier.
We learned this on the front line.
Founded in 2014 and headquartered in London, Quantanite spent its first decade running the hard, high-volume work that consumer brands generate: orders, returns, warranty claims, the calls that follow a late delivery. We handled it well, and it kept coming back. Almost all of it was caused somewhere we had no visibility. QiQ was built to see there, and the company was rebuilt around what it found.
Certified and audited
Our purpose is to build better, together.
Meet the leadership teamBeyond what clients expect.
To the result, not the activity.
New ideas, shared.
Our people grow as our clients do.
Every customer treated as our own.
If the category is right, the conversation is short.
An assessment runs QiQ on a sample of your real interactions and comes back with the issues, their causes and what they are costing you. If the recommendation is to do nothing, we'll say so.