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The meta-study
A study that exhausts the available public data, so the decision is made on numbers rather than gut feel. In the full version, it crosses that data with your own.
The presenting symptom: “I have one precise question, it has been sitting there for months, and nobody on my side has time to look at it properly.”
This is the solution that earns the word “strategy” in our name. One rule governs it: a meta-study becomes impossible to copy the moment it touches your data. Not because we are smarter. Because a consumer AI model has no access to your revenue by site, your staff turnover, your lost quotes or your seasonality.
“We are not selling you a search. A search, you can run yourself in an hour, and you would be right to. We are selling that search crossed with what you already know without knowing it.”
Two levels, one difference
| Focused | Full | |
|---|---|---|
| Sources | public, tight scope | public, sector-specific, purchased if needed |
| Your data | no | yes, that is the difference |
| Weighting | qualitative | measured |
| Deliverable | a report, a summary | report, open matrix, summary, raw sources |
| Duration | 2 weeks | 3 to 4 weeks |
Worth knowing before you start. Access to your data is a condition, stated at scoping. If you cannot provide it, the study falls back to the focused version, and we say so before, not after.
Sixteen families on display
Seven families open the list, the ribbon scrolls through all of them. Each family becomes impossible to copy the moment it touches your data.
- Location
- Customer reviews
- Pricing
- Deep competition
- Diversification
- Your own data
- The ecosystem
The location study
Where to open the next site. Demographics, competition, footfall, property, spending power, seasonality, weighted and ranked. Real case: PaloMano, 18 locations analysed on 6 weighted factors, with a top-20 ranking of zones.
The pricing study
What the market actually charges, where you sit, what you could raise and on what. Almost never done in a mid-sized company, and the fastest one to pay for itself.
The mass review analysis
Every public review of every one of your sites over at least three years, plus a panel of competitors. Weighting measured by correlation, then crossed with your revenue by site, your staff turnover, your seasonality. Sold in the full version only.
Lost deals
Why you lose, to whom, on what, and what separates the quotes you win from the ones that die. Built entirely on your data, so nobody can match it.
Diversification
Which growth options, scored by potential and by effort. Real case: PaloMano, 24 options scored, a top 4 with an action plan.
The ecosystem map
Who does what, who funds, who buys, who decides, at what price. Real case: Echopict, med-tech.
How it unfolds.
A two-hour workshop to phrase it in one sentence, and to know which decision the study must serve.
The sources, the criteria, the weightings. Written down and approved by you before we launch anything. It is the only serious answer to “your AI makes things up”.
Hundreds of sources, your internal data, the public data, and purchased data when the topic justifies it.
The report, the open matrix, the two-page summary, the raw sources.
What you walk away with.
- The report. every number sourced and checkable
- The decision matrix, as an open file. you rerun it on your own, with your own weightings. The strongest deliverable in our range
- The two-page summary. ready for a board or an executive committee
- The raw sources. for verification
The fact sheet.
The scope is set at scoping. The full pricing grid lives on the pricing page.
Where the analysis would take weeks, we answer in days. The protocol is written and approved before anything runs. And the matrix, you rerun without us.
The questions we get asked about this solution.
Part of it, yes, and you would be right to. What you will not be able to do is cross that search with your own data: your revenue by site, your staff turnover, your lost quotes, your seasonality. That is where the answer changes, and that is where we come in.
The protocol is written down and approved by you before launch: the sources, the criteria, the weightings. Every number in the report is sourced, and the raw sources are handed over for checking.
The study falls back to the focused version, on public sources, and we say so before launching, not after. That is exactly the line between the two levels.
What can follow.
A clear decision sometimes calls for a build: a tool to track what was decided, or hands-on support to carry it through.The custom-built tool Hands-on support See the full range again
Thirty minutes, spent listening to you.
The starting point, free and without commitment. We sell you nothing during the call, and our written proposal reaches you within 48 hours. If you would rather write, write to us.
See clearly before you act