Matthew regularly interviews every rep on every deal, identifies and scores qualification gaps, surfaces coaching opportunities to sales leaders, and delivers evidence‑based analytics that update as your pipeline changes.
Matthew is your AI Forecast Interviewer. He conducts structured, MEDDPICC-aligned deal reviews with every rep — by voice or chat — and translates their answers into evidence-based deal scores, coaching tips, and risk signals your leaders can act on immediately. He handles the forecast calls, so you can use that time for deal-based coaching sessions.
Sales leaders don't have time to run deep forecast calls with every rep. Reps rush. Risks get missed. Forecasts become guesswork. And coaching gets pushed aside for pipeline housekeeping.
Leaders spend forecast calls gathering information instead of coaching. Every minute chasing updates is a minute not spent moving deals forward.
Seeing an opportunity for where it is — not where we want it to be. Reps tell leaders what they perceive they want to hear. Missing champions, weak metrics, unidentified budget, buying process risk stay buried until it's too late to act.
Most forecasting tools rely on CRM data — but CRM data is only as good as rep input. Garbage in, garbage out. Real accuracy needs structured rep interviews.
When the weekly forecast call becomes a data-gathering exercise, coaching gets pushed aside. Deals slip. Win rates drop. Cycles lengthen.
The ROI is real — more time for coaching, increased sales velocity, and higher close rates.
By voice or chat — Matthew conducts structured MEDDPICC + TB interviews covering all 10 qualification categories. He follows up on vague answers, probes for buyer evidence, and doesn't accept "looks good" without substance.
Risk signals, gap attribution by category, evidence-based health scores, and AI-generated next steps — instantly visible. Leaders know exactly where to focus their coaching time before the forecast call even begins.
No more rep-by-rep data gathering. Leaders arrive knowing the risks. The weekly call becomes 100% deal review and coaching around gaps — maximizing time on deals that can close this quarter.
Most health scores are calculated from CRM fields. SalesForecaster.io's health score is built entirely from Matthew's structured deal interviews. Every score is backed by evidence, classified by strength, and updated with every review.
Every category scores 0–3 based on evidence strength: Unknown → Vague Assertion → Credible Indirect → Explicit Verified. No guessing, no rep optimism.
The health score adjusts with every Matthew review. Leaders watch scores move in real-time as reps gather stronger evidence — or see scores stall when deals aren't progressing.
A rep says "we need 4 signatures through their Ariba system." Sounds solid. But Matthew surfaces that the rep still needs to identify who signs and how long it takes — because process risk kills deals late. Leaders coach the specific gap, not a gut feeling.
"Decision Process is 'Assumed' — the rep knows they need 4 Ariba signatures but hasn't confirmed who signs or the timeline. This is late-stage risk. Coach the rep to get stakeholder names and approval timeline before the next step."
SalesForecaster.io gives growing sales teams the RevOps intelligence and AI-driven qualification that enterprise companies pay hundreds of thousands of dollars for.
Quarter-end outlook, gap attribution across Commit / Best Case / Pipeline, AI strategic takeaway, and deals driving the gap — all in one place.
See average category scores by forecast stage. Instantly identify which qualification gaps are systemic vs. deal-specific across your entire pipeline.
Matthew generates a strategic analysis of your pipeline — gap drivers, coaching targets, and high-leverage deals — in seconds.
Coverage, MEDDPICC averages, score velocity, and progression — by rep and by team. Leaders see who needs what coaching before the weekly call.
Quota attainment, pipeline coverage, average deal size, win rate, days to close — tracked per rep and rolled up to director level.
Every rep gets their own forecast view with deal health, gap attribution, and Matthew review requests from their manager — so they arrive prepared, not surprised.
Win rates, health scores, average deal age, and revenue mix by channel motion. Understand partner performance with canonical scoring across your book of business.
Compare initial vs. final health scores across won and lost deals. See exactly which MEDDPICC gaps predicted losses before they happened.
Build, save, and export custom reports across any metric. Table, bar, line, or radar charts — exportable to PNG or Excel.
For reps who live in HubSpot, the SalesForecaster.io card surfaces deal health, MEDDPICC scores, coaching tips, and risk summary — directly on every deal record. One click launches a full Matthew review.
Tells you what went wrong on a call after it happened. You don't teach kids math after they failed the test — you prepare them for it.
Matthew's forecast calls and leadership coaching prepare reps before their next step. Matthew gives leaders the truth they need to coach — not just data to review after deals are already at risk.
Forecasts from CRM data — but most CRM data is incomplete. Built for enterprise. Priced for enterprise. Not your market.
SalesForecaster.io gives companies with 50–150 employees the RevOps intelligence and disciplined sales qualification process that enterprise companies pay hundreds of thousands of dollars for — starting at $499/month.
No per-seat gotchas. No enterprise games. One platform. Everyone gets everything.
All plans include onboarding, HubSpot setup, and CRM field mapping support. No contracts required.
Increase forecast accuracy. Increase sales velocity. Let Matthew do the interviews.
✓ No credit card required
✓ Setup in under a day
✓ Works with your existing HubSpot