Funnel IQ Pipeline
forensics

What are you really committing to?

Commit a number you won’t have to walk back.

Funnel IQ tests your sales forecast forensically, against your own sales history:
where it’s optimistic, which deals are stalling, and where your hidden yield lies.

So you can stand behind the number you commit –
and win more from the team you already have.

Three things no CRM can show you

Your CRM records what your team expects to close – but it masks how realistic those expectations have proved to be. The clues to the biases distorting your forecast lie in plain sight: in the history of how every past lead evolved, and how it turned out.

Where is your forecast
optimistic?

Which segments, stages and reps consistently over-call – and by how much.

Why it matters

The number you commit is the number you’re judged on – by your board, your investors and, one day, a buyer. Know where it’s inflated before they do.

Which deals are stalled –
or quietly dead?

Where deals really stall, which will never close though no-one has marked them lost, and how late the rest actually land.

Why it matters

Hires, budgets and targets are set against those dates. Plan on when deals really land, and every plan holds.

Where is your hidden
sales yield?

The lead types and segments that consistently beat their forecast.

Why it matters

That’s revenue your team can win now – by moving effort from what won’t land to what will, without a single new hire.

Case study

What one team’s history revealed

A growth-stage B2B business

70%→30%What the top salesperson’s “70%” deals actually converted at
£3.1mof stalled deals still forecast at 30% – where history said 8%
£1.7ma year of further revenue within reach, by rebalancing leads towards the sellers who convert them

The CRM dashboards looked healthy. None of this was visible on them.

Built on evidence, not opinion

We apply pipeline forensics: we trace how every past lead, won and lost, was forecast throughout its life, and compare that with how it turned out. Our analytics then isolate the signals that predict which forecasts will fall short, and which will do better than expected.

We reconstruct the history

Every past lead traced month by month through your pipeline’s own records: how its forecast evolved, and how it turned out.

We detect forecast biases

Where forecast values, win probabilities and close dates diverge from outcomes, and which signals predict it – for different lead types, deal stages and reps, and with confidence intervals.

We recalibrate the forecast

Today’s pipeline, adjusted line by line for the biases its history reveals. Every adjustment is traceable to evidence, never assumed – by anyone, us included.

The forecast you hold today is a view – not a tested number. Every finding we give you is charted clearly and backed by hard evidence from your own history: a confidence interval showing how dependable it is for adjusting today’s forecast, and an exportable audit trail your own analysts can check line by line. The method was developed in forensic due diligence for M&A investors, where forecasts must withstand the hardest scrutiny.

Your sales expertise. Our objectivity.

You are the experts on your sales system. What our pipeline forensics adds is what no insider can supply: an objective, entirely evidence-based reading of how past estimates actually played out and what biases they contain – and where those biases show today’s forecast is at risk, and where its opportunities lie. Our work doesn’t disrupt your team. And the analysis itself needs no confidential names – only the figures.

  1. No-commitment feasibility checkConfirms your data trail is strong enough to read.
  2. Forensic findingsUsually within two weeks – sooner if a board date looms.
  3. Decisions you can defendEvery adjustment backed by evidence from your own history.

Questions sales leaders ask

Can’t our CRM do this?

No: they’re not built to. CRMs, their add-ins and AI assistants exist to record what you see today, and to report on and interrogate today’s pipeline. They don’t reconstruct how your past forecasts evolved, detect the patterns in that history, or test which biases are statistically dependable. Nor can they match today’s leads to those biases – let alone show you the evidence behind each adjustment, so you can win more from the same pipeline and defend your decisions. This is a forensic analytics discipline, not a CRM feature.

Isn’t this what our RevOps team or analysts already do?

RevOps keeps the systems, data and forecast process running, and reports what today’s pipeline tells you. Pipeline forensics is a different discipline, with its own methods and technology: mining the full history of how every lead’s forecast evolved, detecting the patterns and biases that drive over- and under-estimation, and then applying the dependable ones to today’s pipeline – each with its evidence.

Our team are making the best estimates they can. What’s wrong with them?

Nothing. No-one can call every deal, and we don’t try to either. But across many similar leads, the same human estimates err in the same direction. That pattern is measurable, material, and correctable with confidence.

How do you know the findings are reliable?

They’re not our opinion, or anyone else’s – they’re what your own data history proves. We back-test every pattern against leads that have already closed or been lost, measure its statistical confidence, and keep only those that prove dependable. Then we show you the evidence behind each, charted – so you can decide.

Our CRM recording can be patchy. Can we trust our own records?

That needn’t worry you. The question isn’t whether recorded data is perfect – it’s whether there’s enough of it to detect the biases with statistical confidence. And we generally find that irregular recording is itself one of the clues: it shows up in the data and correlates with outcomes. What the clues will be, no-one can know before looking – they differ from one sales system to the next. But in our experience, they are always there to be found. Our pipeline forensics will find them, and show you how far each can be relied on.

Our CRM may not retain past pipeline history. Can you still do this?

Almost always – and our feasibility check will confirm it before we start. Most CRMs retain far more history than they show you, and we know how to extract it. Where they don’t, we can rebuild it from monthly pipeline reports saved in email or archives. Either way, we help you extract the raw data, and we compile and clean the anonymised deal histories for you before running our analytics.

What about our confidential information?

The analysis needs no confidential customer, deal or rep names. It runs on amounts, stages, dates, probabilities and reference codes that only you can match back to real deals and people. Where a system can only export the figures together with names, we anonymise them on receipt.

Do you need to log in to our CRM, or integrate with it?

No. We work from a history export – no integration, no logins, nothing to install. We’ll give you step-by-step instructions for your system, and we’ll help if you need it. We can draw from any of the major CRMs, and from spreadsheet-based sales pipelines too.

Tell us what you’re facing

Call, email or choose a time to talk. We respond within one working day.

Christopher Barker, founder of Funnel IQ
Christopher Barker Founder & Managing Director

Pipeline forensics was developed from 25 years in management consulting, predictive analytics and M&A execution – including PwC, two decades leading an analytics firm, and operating-partner roles. Every engagement is senior-led, end to end.