Why a qualification record full of green boxes keeps producing deals that close lost, why a transcript-to-ChatGPT build can't fix it, and what changes when every qualification question has a closed set of answers.

Why AI-filled MEDDPICC fields don't prove a deal is qualified, why a transcript-to-ChatGPT build can't fix it, and what changes when every qualification question has a closed set of answers.

In most CRMs stage exit criteria are advisory, a rep clicks the stage forward regardless. Here is why voluntary criteria fail and how gating a stage on evidence makes the pipeline mean what it says.

Most deal scores are a single number pretending to be insight. Here is what a score has to do to be useful, explain itself and point to an action, and why an unexplained number gets ignored.

Spotlight.ai CEO Roi Carmel joined Episode 445 of the VentureFizz Podcast to discuss build versus buy in the AI era, the two years of CRO interviews behind the Spotlight.ai Knowledge Graph, and why the company has stayed bootstrapped through 300% growth.

Handing an AI agent a live deal is a higher bar than a good demo. Here is what makes an agent trustworthy on real opportunities: shown evidence, grounding, and inspection you can repeat.

Operational data across 361,000 opportunities is blunt: much of the pipeline you commit to slips, in knowable ways. Here is why forecast slippage is predictable, and how to forecast on evidence instead of the board.

Every team says it runs MEDDICC, but the Champion and Economic Buyer fields are half empty and half wrong. Here is why hand-entered roles fail, and how populating them from evidence makes qualification honest.

Every forecast survives until someone asks why a committed deal slipped. Here is how to build a forecast you can defend, deal by deal, with evidence under every number instead of ratios and gut feel.

Enterprise deals are lost by the stakeholder you never mapped. A power map shows the whole buying committee, who decides, who blocks, and who you have not met, so you can multithread before it costs the quarter.

Win-loss research across 50,000+ interviews finds 85% of CRM loss reasons are wrong, not because reps are careless, but because buyers never say the real reason. Here is how to get the truth from the evidence instead of the field.

The plan always looks better in the deck. Here is how to pressure-test the assumptions under your revenue number, coverage, win rates, and the deals it leans on, from the deals up rather than the number down.