AI discovery call simulator
Everboarder is a practice tool for sales reps, not an auto-dialer. You practise discovery with the AI buyer; you make the live calls yourself. The result is muscle memory — not outsourcing.Run full discovery calls against an AI buyer who withholds the real problem until your questions earn it — different by persona, channel and source, every time.
Free to start. No credit card.
See it in action
Product preview
[PRODUCT SCREENSHOT / SHORT VIDEO OF THE BOT IN A LIVE DISCOVERY CALL PRACTICE SESSION — to be added]
Why static discovery training doesn't work
PDFs produce knowledge, not discovery skill
Reading the SPIN framework doesn't make you fluent at layered questioning. Skill comes from asking Situation questions sparingly and Implication questions well — under real pushback. A PDF can't withhold the answer until you earn it.
Manager-led roleplay doesn't scale to 20–40 reps
One manager per eight reps can't deliver the 20–40 practice reps each rep needs to internalise a full SPIN sequence. [METRIC TO SOURCE: reps-per-manager benchmark.] Discovery practice quietly stops after the certification workshop.
Polished-summary buyers teach the wrong loop
A generic chatbot delivers a rehearsed problem statement in the first 30 seconds. Real buyers hedge, deflect, and only reveal the actual pain after the fifth question. Reps who practise against polished summaries default to first-answer acceptance on live calls.
Rushed Implication is the highest-leverage discovery failure
Reps who race past Implication questions to get to Need-Payoff (or worse, to pitch) leave the buyer without a felt sense of the cost. [METRIC TO SOURCE: Implication impact on win rate, Rackham.] Realistic pushback teaches the pace.
No next-step commitment is where discovery ends unclosed
The best discovery call ends with a specific, buyer-articulated next step — not "send me a proposal." Reps who never practise the close of the discovery call default to vague follow-ups, and the deal slips before the second meeting.
How Contextual Realism (SPCM) makes practice real
The AI buyer adapts the discovery conversation to the situation, not the other way around. Six dimensions of context drive every session.
Source-aware
A buyer from cold outbound reveals problems differently than a buyer from a warm referral. Trust level shapes how quickly Pain surfaces.
Channel-aware
Discovery on video is not discovery on phone. Pace, silence tolerance, and question depth adapt to the channel.
Persona-aware
A CFO's Pain is quantified in dollars; a VP of Sales's is quantified in cycles. The buyer's Pain vocabulary resets by persona.
Methodology-aligned
Discovery scoring aligns to your framework — SPIN's four question types, SPICED's Situation/Pain/Impact, MEDDIC's Identify Pain, Solution Selling's PPVVC.
Question sequence variety
The AI buyer withholds Pain until Situation is earned, hedges on Implication until the rep asks specifically, and only reveals Critical Event with the right open-ended question. Sequence variety, not just question variety.
Real-time coaching
Inline prompts when the rep asks too many Situation questions, skips Implication, jumps to features before Need-Payoff, or accepts a polished-summary answer — coaching at the moment of the mistake.
Customer outcomes
Real metrics drop in here as customers publish them. We don't ship unsourced numbers.
Discovery-to-next-step conversion
[CUSTOMER OUTCOME TO SOURCE]
SPIN adoption on live calls
[CUSTOMER OUTCOME TO SOURCE]
Certification pass rate
[CUSTOMER OUTCOME TO SOURCE]
Ramp-to-first-quota
[CUSTOMER OUTCOME TO SOURCE]
Forecast tightening
[CUSTOMER OUTCOME TO SOURCE]
Fits the stack you already run
CRM
Salesforce, HubSpot — sync discovery practice sessions and certification status to the rep record.
Conversation intelligence
Gong, Chorus — feed live discovery-call weaknesses into scenario selection.
Sales engagement
Outreach, Salesloft — trigger discovery practice gates before a sequence launches.
LMS (SCORM)
Drop discovery sessions into your existing onboarding curriculum.
Comms
Slack, Microsoft Teams — discovery drill nudges and scorecards in-channel.
SSO
Okta, Azure AD, Google Workspace.
Security & compliance
SOC 2 Type II, GDPR.
Templates and skills that feed this practice
Discovery Calls — skill pillar
The full discovery-calls pillar: question architecture, layered questioning, and the practice loop that ties them together.
Discovery Call Question Template
50+ layered discovery questions across the six discovery stages. Drops straight into the practice bot.
Discovery Call Script Template
A full discovery conversation arc from rapport to next-step commitment. The script the practice bot drills against.
SPIN Selling methodology
Neil Rackham's four-question framework (Situation / Problem / Implication / Need-Payoff) — the methodology the discovery scorecard scores against.
AI Sales Roleplay Simulator
The master practice mode — run any sales conversation against an adaptive AI buyer. Includes discovery practice as one scenario type among many.
Frequently asked questions
Start practising
Pick a discovery scenario, run a fifteen-minute session, and get a scorecard you can act on before your next live call.
Free to start. No credit card.