Top perspectives

  • Kyle NortonLed forecast rebuild after missing pipeline data
    CRO at LassieGrew Owner.com $3M to $21M ARRGrew League revenue to $20M+

    I used to think forecastable pipeline meant more pipeline, but at Owner.com the turning point was when we started inspecting whether what we called a qualified opportunity was actually that, weekly, cross-functionally. Coverage matters, but convertibility is what lets you call a number.

  • Sam BlondScaled Brex revenue from sub‑$1M to 9‑figure ARR as CRO
    Co-Founder, CEO of MonacoGrew Zenefits sales org to 500+Hosted CRO Confidential podcast

    Forecastable pipeline starts with a clear definition of what counts as an opportunity and how you score its quality, not just how much is in the CRM. At Brex, I cared most about opportunity creation, cycle time, and conversion by source, because those inputs tell you whether the number at the end of the quarter is real.

  • Pete CrosbyLed revenue as CRO at Ometria
    CEO & Co-founder of RevelescoScaled Triptease ARR from $2M to $10MCoached 100+ scale‑up CEOs and CROs

    I spent too long at Ometria trusting pipeline coverage over pipeline truth, and the forecast collapsed the quarter I stopped interrogating every deal myself. Now I build forecastable pipeline by scoring the buyer's verified actions, not the seller's optimism: a live champion, a defined problem, a date, and a budget we have seen move.

  • Jeff EsterCRO at boost.ai
    SVP Sales Americas at H CompanyThankful.ai to $11M ARR in a yearRecruited by Marc Andreessen at Netscape

    I stopped trusting forecast accuracy the day I started measuring pipeline by relationship signals instead of stage probabilities. At Thankful.ai, our best quarters came when we tracked response patterns, stakeholder shifts, and trust indicators as leading indicators of close likelihood, not just commit dates reps typed into CRM.

  • Alexander HanFormer private wealth manager at Morgan Stanley
    CRO at DreachVenture capital summer analyst at IP Lab Ventures

    At Dreach, I stopped trusting pipeline forecasts once I saw reps logging proposal sent deals that had no real buying signal behind them. Now we score every stage by customer action, not rep optimism: a demo only counts when the prospect showed up, and a deal only enters commit when we have a named budget owner and a scheduled next step.

  • Brett JansenCommercial Growth Advisor
    $275M+ raised across 75+ startups43-page AI Tools Playbook

    I ran a 12-month parallel forecast experiment across three PE-backed health tech companies, and the combined model, AI baseline plus CRO overrides, beat both sides alone at 75% accuracy. The real discipline is not the model, it is the weekly review where every disagreement between the data and the rep gets written down with a reason, not a feeling.

  • Josh WetzelStrategic CRO & GTM Leader Driving SaaS Growth
    Leads global GTM at DovetailScaled startups to $100M+ ARR

    The forecastable pipeline I trust comes from a few clean inputs, not a thousand spreadsheets. At OneSignal we lived or died by coverage ratios, stage exit criteria, and one source-of-truth board the whole exec team believed in. If the CRO is the only one who trusts the number, the number is fiction.

  • Daniel ShawBuilder, Advisor, CEO, CRO
    Grew Fiix revenue team 2 to 85+Leadership role at BlackBerry

    A forecastable pipeline is built on inputs, not hope. I learned this scaling the Fiix revenue team from two to eighty-five: if you structure and measure leads, MQLs, opportunities, ACV, and close rates, you know why you hit or miss. Most founders obsess over the revenue number and blame reps when it slips; usually the system is the problem, not the people.

  • Christophe BodinAdvising investment firms, individuals and giving back to the Leaders community at Next Chapter MC LLC
    Chief Customer Officer at AnaplanVP, Customer Support at Oracle

    I stopped chasing 3x or 4x pipeline coverage once I saw how much of it was just salespeople hoping interest equals intent. The forecast got real when we built the process around how the buyer actually buys, not how we wanted to sell.