A number means nothing until you know whose number it is.
Thirty-one days to onboard a customer is a crisis in one industry and unremarkable in another. A model that doesn't know which industry it is in cannot tell you the difference, so ours arrives already knowing.
The same number. Two industries. Opposite verdicts.
This is not a nuance. It is the difference between a finding a board acts on and a finding a board argues with.
And it goes further than a threshold. When Acme's onboarding slipped from 19 days to 31, the sector median moved too, from 14 to 16. So roughly two days of that slip was the market, and ten days was Acme. One of those is a pricing and expectation conversation. The other is a capacity decision. Without knowing the sector, you cannot tell them apart, and you fund the wrong one with total confidence.
Two kinds of knowledge. One of them changes every week.
A sector isn't a benchmark file. It is the structure the model computes with, and the live context that tells you whether a finding is yours or everyone's.
Calibrated when the sector is built. Refreshed as the industry moves.
What matters hereand what doesn't
The measures that actually drive value in this industry, and how they relate to each other. Onboarding time is a margin driver in one industry and a delivery formality in another.
What good looks likenot just what happened
Benchmark distributions for businesses of this kind — medians and quartiles, not a single average — so a number can be judged rather than merely reported, and so a gap against the market can be told apart from a gap against your own plan.
How performance becomes valueand how long it takes
The relationships between operating performance and financial outcome in this industry, with the lag along each one. Cause and delay are not the same everywhere. And the trading multiples and valuation behavior of this sector, so a finding converts into enterprise value on this industry's terms rather than a generic rule of thumb.
Continuous. This is the half that is never in your data.
What the market is doingthe weather you're flying in
Where the sector itself is moving, and the macro and micro conditions underneath it — rates, demand, input costs, buyer behavior — that change what a number means this quarter versus last. This is what separates a capacity decision from a pricing conversation.
What peers are doingdisclosed, launched, conceded
What comparable companies have reported and shipped, and how that changes the urgency of what the model just found. A problem everyone has is a different problem from one only you have.
What changed around youand what people think caused it
The prevailing explanation for a sector-wide movement — from analysts, industry thinking and the companies living it, and whether the evidence in your own model actually supports that explanation or contradicts it.
The model tells you what is happening inside your business. The context tells you whether it is yours. Neither is worth much alone: a benchmark without conditions is a number out of time, and market commentary without a model is an opinion with a chart. The reason a sector takes real work to build is that both halves have to be there before the first answer is trustworthy.
One sector live. Two in build. We'd rather show you that than imply coverage.
Sectors ship in the order the work earns. Inbound interest moves one up the queue; a design-partner relationship moves it further.
Enterprise SaaS
Calibrated and running. Retention economics, onboarding and implementation throughput, expansion motion, and the cost-to-serve relationships underneath them.
Banking
Where capital efficiency sits downstream of operational performance.
Automotive
Plant utilization, model-mix margin and supplier coordination as one system.
Real inbound demand, sequenced behind the two in build. If yours is here, or isn't listed at all, the fastest way to move it is below.
Depth before breadth, on purpose. Ten clients across six hurriedly built sectors would prove we are versatile. Repeated installs in one sector are what prove the Mirror is an asset rather than a methodology, so a sector is added when the last one has earned it.
What if yours were next?
Interest moves a sector up the queue. A design-partner relationship — where a company works with us while their sector is calibrated — moves it a great deal further.
- It goes to the people who’d build it
- Interest moves the queue. Genuinely.
- No sequence, no follow-up, no list
What actually happens after you submit
You’ll hear where your sector actually sits and what would move it. If it’s a long way back, we’ll say so rather than keep you warm.
What a design-partner relationship involves
You get the model earlier and cheaper. We get a real business to build against instead of an assumption. And you shape what gets built — which measures matter, what good looks like, which relationships actually hold in your industry.
Why calibration takes real time
Its own measures, benchmark cohorts, the links between capability and financial outcome, and the lag along each one. That work is why the first answer is trustworthy. Rushing it produces a generic model wearing your industry’s vocabulary — the exact thing we’re trying not to build.
If your sector is already live
You don’t need this form. Enterprise SaaS is calibrated today — run the read against your own business instead of registering interest in a future one.