# §1 — Hero ## H1 Your reports take too long, the numbers still don't match, and nobody owns the fix. ## Sub A two-week Data Diagnostic Sprint for SMEs where reporting, data, and workflow bottlenecks are slowing decisions — and it isn't clear where to start. ## Primary CTA **Book a 30-minute discovery call** → Cal.com ## Secondary CTA (soft, warm-lead-only) Prefer to pay and start? → `/sprint` ## Trust line (below CTAs, small) Solo specialist based in Ireland — Waterford base, Dublin working presence. Enterprise data and reporting background across healthcare and commercial environments. Limited consulting availability. --- # §2 — The problem (concrete language) For SMEs between roughly 20 and 150 people, the pattern is familiar: - Manual reports rebuilt every month, sometimes every week. - Spreadsheet workarounds nobody wants to touch. - Duplicated data entry across two or three tools that don't talk to each other. - Broken exports; stale numbers; a "single source of truth" that isn't. - Unclear ownership — who fixes it when it breaks, who signs off on the number. - Pipeline data that can't be trusted for a forecast. - Company information trapped across tools nobody can query together. Before spending on new tools, more headcount, dashboards, automation, or AI — you need to know what's actually broken, what would move first, and whether the next step is a fix, a rebuild, or a decision to wait. That's what the Sprint is for. --- # §3 — Previous work (three cards) Anonymised for confidentiality. Structure: what was broken → what was worked on → why it matters here. ## Fig. 01 — SME, sales-and-data-layer bottleneck **Broken:** Sales pipeline data spread across a CRM, a spreadsheet-of-record, and a couple of one-off exports. Numbers didn't reconcile between what the sales lead saw and what the founder saw. AI experiments stalled because there was no clean data layer underneath. **Worked on:** Mapped the real pipeline-data flow; identified the source-of-truth conflicts; recommended a minimum data layer that would let both the reporting and the AI work stand up. **Why it matters here:** Same pattern shows up in most SMEs with a sales-led pipeline — you can't run trusted forecasts or AI on top of a data layer that doesn't exist yet. ## Fig. 02 — Enterprise-scale, healthcare reporting environment **Broken:** Reporting turnaround under time pressure across a complex healthcare data environment. Downstream teams making decisions off numbers they weren't confident in. **Worked on:** Diagnosed where the delays and mismatches actually originated (upstream data, ownership gaps, definitions drift); prioritised the fixes with highest downstream impact. **Why it matters here:** The diagnostic logic — trace the untrusted number back to its real cause — is the same at SME scale. Fewer systems, same class of problem. ## Fig. 03 — Enterprise-scale, commercial reporting environment **Broken:** Commercial reporting across multiple business units, definitions drifting between teams, workflow steps duplicated by hand because systems didn't hand off cleanly. **Worked on:** Reconciled the definitions; mapped the workflow handoffs; identified where automation would pay back vs where it would just paper over an ownership gap. **Why it matters here:** "Automate it" is often the wrong answer until you've named who owns the number. The Sprint applies the same discipline in an SME setting. --- # §4 — What the Sprint is In two weeks, you know what needs attention first — and why. The Data Diagnostic Sprint is a structured two-week engagement that applies the same diagnostic logic every time: understand what's actually happening across your reporting, data, and workflows; identify where the real bottlenecks are; and land on a clear, honest recommendation for what to do next. The output shape follows the diagnosis. Some engagements need a data-ownership view. Some need a pipeline-cleanup roadmap. Some need a "stop before you build anything" recommendation. Some need a workflow map. The commitment is the diagnosis and the honest next-step call — not a fixed set of deliverables identical for every client. Fixed price. Two weeks. One specialist. --- # §5 — What you leave with The exact shape of the Sprint output depends on what we find. The commitment does not: you leave with a written diagnosis, a clearer view of the real bottlenecks, and a recommended next move. **What the Sprint often uncovers:** - Where the trusted-number problem actually starts. - Which reporting steps are the highest-effort, lowest-value work. - Which systems are duplicating each other and which aren't talking. - Where ownership is unclear — and who should own it. - Which "we need AI / a dashboard / an automation" instinct is premature, and which is ready to move. **Typical outputs include:** - A written diagnosis of the reporting, data, or workflow bottlenecks in scope. - A prioritised view of what to fix, rebuild, or leave alone — ranked by estimated impact and effort. - A recommended next step: a specific fix, a scoped rebuild, a data-ownership decision, or a "hold off on that spend" recommendation. - Depending on the diagnosis: a data-ownership view, a workflow map, a pipeline-cleanup roadmap, or a "before you build" recommendation. **What that gives you commercially:** Clarity on where to spend attention and money next. Trusted numbers for the decisions that matter. Fewer manual workarounds. Clearer ownership. Better next-step decisions — and reduced risk before spending on new tools, hires, dashboards, automation, or AI. Plus 30 days of email support after the Sprint closes, so the recommendation actually lands. --- # §6 — After the Sprint The Sprint ends with a clear recommendation. If it makes sense to keep working together, there are three shapes that typically follow. - **Reporting and workflow cleanup** — implementing the specific fixes the diagnosis surfaced. - **Data layer and integration work** — building the trusted-number foundation the diagnosis identified as missing. - **Automation and AI access** — once the data layer is trustworthy, using it for the automation or AI work that was blocked before. Some clients prefer a light ongoing arrangement (roughly £1.5–3k/month) for continued support rather than a fixed follow-on project. Either shape is available. Neither is assumed. --- # §7 — Is this for you? The Sprint is a fit if you are a founder, finance lead, operations lead, or sales-or-recruitment leader with a pipeline-data bottleneck — and one or more of the following is true: - Reporting takes longer than it should, and the numbers still don't match. - You're being asked to make decisions on data you don't fully trust. - You've been told "we need a dashboard" or "we need AI" but you're not sure it's the real problem. - You have two or three systems and none of them are the source of truth. - Someone left, and now nobody owns the number. The Sprint is probably not a fit if you already have a strong in-house data function and know exactly what needs building; if you're an accountancy firm looking for whitelabel delivery; or if you need someone to implement a specific tool you've already chosen. --- # §8 — Price and availability **£2,500 fixed.** Two weeks. One specialist. 30 days of email support included after the Sprint closes. Not every reporting, data, or workflow problem needs a Sprint. Some need a build, a process fix, or no outside help at all. A 30-minute discovery call is how we work out which one you have. If the Sprint is the wrong shape for the problem, I'll say so on the call — no Stripe link, no invoice, no hard sell. **Book a 30-minute discovery call** → Cal.com Limited consulting availability. Discovery calls: **Mon–Thu after 5pm, Fri before 11am** (UK/Ireland time). --- # §9 — FAQ ## Q.01 — What exactly do I get for £2,500? How prescriptive is the Sprint? The process is fixed; the output adapts. Every Sprint runs the same way. A 30-minute discovery call to confirm fit and scope. A short set of focused interviews and system walkthroughs — typically up to four interviews across the people who own the reporting, data, or workflow in question, and up to three workflows examined in depth. A diagnosis stage where the real bottleneck pattern is identified. A written summary of what was found. A recommended next step. The shape of the written output adapts to what the diagnosis surfaces. If the real problem is ownership, you get an ownership view. If it's a broken data layer, you get a pipeline-cleanup roadmap. If it's premature spend, you get a "hold off, here's why" recommendation. If it's workflow duplication, you get a workflow map. You will not receive a factory-line set of three fixed deliverables identical to every other client. That would undersell the diagnostic work and misrepresent your problem. ## Q.02 — How do you handle our data? Data handling is treated with the same discipline the Sprint applies to yours. Interviews and system walkthroughs run over shared calls; where system access is needed, read-only access is preferred and the minimum scope is used. Sensitive data (customer records, employee data, financial identifiers) is examined in place — nothing is copied to a personal machine unless explicitly required and agreed. Any notes, screenshots, or extracts used to draft the diagnosis are stored on an EU-hosted account and deleted within 30 days of Sprint close, or on request. <!-- D7 unresolved: exact email provider + storage account. Copy updated post-D7 to name the provider explicitly. --> The written diagnosis is delivered as a document you own. You control who sees it. Nothing is retained beyond the 30-day support window without your explicit written agreement. If you're covered by GDPR, DPA 2018, or sector-specific rules (healthcare, financial services), name that on the discovery call — the Sprint is scoped to work inside your existing compliance posture, not around it. ## Q.03 — Can you actually finish a real diagnosis in two weeks? Yes — because the Sprint is scoped to diagnose, not to fix. Two weeks is enough to run the interviews, walk the workflows, examine the data, and produce a written diagnosis with a recommended next step. It is not enough to rebuild a reporting stack, integrate three systems, or ship a working dashboard. That is deliberate. The Sprint separates "what should we do" from "let's do it" — because doing the wrong build for eight weeks is more expensive than diagnosing correctly for two. Most engagements land the written diagnosis in week two, with a walkthrough call to make sure the recommendation actually lands. The 30 days of email support after the Sprint closes is there to answer follow-up questions as you act on it. Clients who need the fix built as well typically move into a follow-on engagement — but only where the diagnosis says the fix is the right call. ## Q.04 — What if you find the answer in week one? The Sprint doesn't finish early — the diagnosis gets sharper. If the primary bottleneck is clear inside the first week, the remaining time is spent stress-testing the recommendation: examining the second-order effects, checking for the failure modes that would send the fix sideways, and confirming the ownership question is answered. In practice, "the obvious answer" often isn't — the real bottleneck is one layer up from where it looks, and week two is where that gets confirmed or corrected. You still receive the written diagnosis, the prioritised view, and the recommended next step at the end of week two. The fixed price protects you either way. You are not paying for time; you are paying for a diagnosis you can trust. ## Q.05 — How does payment and refund work? Payment is only requested after the discovery call confirms scope-fit — no cold checkout. 50% deposit to reserve the Sprint dates and start work, 50% due on delivery of the final Sprint output. Payable by Stripe link or by invoice after the call. Prices are exclusive of VAT where applicable. VAT and invoicing are handled according to your location and applicable rules. Once paid, the Sprint fee is held as credit rather than refunded in cash. Before kickoff, cancellations convert the paid deposit into credit toward a future engagement within 12 months. After kickoff, no cash refund; the paid fee is held as credit and you still receive the written diagnosis at the end of week two. Full detail: [/terms](/terms). You keep the written diagnosis regardless. --- # §10 — About Rob Freyne. Solo data specialist. Ireland — Waterford base, Dublin working presence. Enterprise data and reporting background across healthcare and commercial environments. The Data Diagnostic Sprint is what happens when that discipline is applied at SME scale: same rigour, same diagnostic logic, tightly scoped to a two-week engagement so it stays affordable. Previous enterprise work is anonymised for confidentiality. --- # §11 — Footer **Allin Data** — Data Diagnostic Sprint for SMEs. Ireland — Waterford / Dublin. Serving UK and Ireland. [Book a discovery call](https://cal.com/) · [/sprint](/sprint) · [/about](/about) · [/privacy](/privacy) · [/terms](/terms) *No cookies, no trackers. That's deliberate.*