
Pipeline forensics detects 20-30% systematic overstatement in growth-stage pipelines -
invisible to management, CRM dashboards and regular due diligence
QoE validates history.
The forward revenue forecast - the number that actually determines your entry multiple - receives no empirical scrutiny at all.
If your multiple is built on forward revenue, a substantial share of your entry valuation is built on fiction.

The empirical discipline that QoE applies to the past... applied to the future
We reconstruct 12-36 months of deal evolution to reveal patterns invisible to quarterly reporting
Every diagnostic is back-tested against known outcomes before being applied to live situations
Excel data export accompanies every report for independent verification
QoE-compatible format for seamless integration
Forward revenue determines your multiple — yet it's the one number in every deal that's never empirically validated. Pipeline Forensics detects systematic overstatement before you commit capital.
Zombie leads quantified. Conversion rates recalibrated against empirical reality. Pipeline value waterfall with confidence intervals.
Validated pipeline vs growth claims. Deal velocity adequacy and time-to-close sensitivity.
Negotiation opportunities ranked by value and statistical confidence — with evidence portfolio and counter-responses to management claims.
Risk concentrations identified for targeted contractual protection.
Delivered as a QoFR (Quality of Forward Revenue) report - designed to integrate with QoE documentation and DD timelines
Whether you're detecting early deterioration or unlocking unrealised revenue, Pipeline Forensics provides the empirical evidence to act - months before it shows in financials.
Early warning:
Systematic bias trending reveals revenue deterioration while you can still intervene.
Segment-level forensics distinguish systemic underperformance from random variance.
Down-round risk assessed using forward revenue projections with 90%+ confidence intervals.
Value recovery:
Over-forecast segments and underperforming reps identified with statistical significance.
Resource-reallocation scenarios quantified: revenue bridge from current to optimised state.
EV bridge at exit multiple: typical EBITDA uplift potential over 3-year hold.
Delivered as operational analysis with implementation roadmap, evidence trail and Excel export for verification.
QoE validates historical revenue - it's table stakes. Pipeline Forensics adds the dimension your competitors don't offer: empirical validation of the forward revenue that determines multiples.
QoFR report formatted for seamless integration with QoE documentation.
Complete statistical audit trail with Excel export for independent verification.
Flexible delivery: white-label, co-branded, or direct to your client - whatever suits the relationship.
We are open to referral and co-delivery arrangements. Start with a conversation.
Does your portfolio exhibit any of these symptoms?
Deals repeatedly slip quarters
Win rates over 70%, yet revenue misses targets
High-probability deals stall for months – and then die
Deal values fall by 30%+ from initial forecast
If so, our pipeline forensics will reveal the root causes and quantify the hidden cost.
Usually within 48 hours of receiving the data.
Ideally 12-18+ months of CRM snapshots, but useful patterns emerge even from partial archives.
We work with whatever data you have. Even partial snapshots reveal patterns. We'll assess your data upfront so you can decide.
We anonymise on receipt; data never leaves our encrypted environment.
Minimal. Recommendations fit existing processes.
CRM tracks today's status. FunnelIQ analyses historical evolution to uncover bias – patterns your CRM cannot see.
The statistical gap between forecast and probable revenue. If management forecasts £10m but patterns show £7m probable, we've identified £3m of phantom revenue.
We back-test our diagnostics against known outcomes. This proves our identification of overstatement and undervaluation in current pipelines.
Absolutely. Our forensics are language- and currency-independent.

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