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Free Sales Onboarding, Enablement, & Training Cheat Sheet

Trusted by RevOps & CROs in 300+ fast-growing companies
Case Study

"With Weflow, we’re now capturing all relevant activities and have full transparency into the performance of each sales rep. It’s a game changer."

Irina Smirnova
Senior Sales Operations Manager
Quote

"Weflow gives us better visibility and predictability of our business."

Andreas Bodczek
CEO
Case Study

"Weflow eliminated the need for our VP to ask, ‘Did you follow up with that deal?’. It tracks customer interactions automatically, creating a framework that drives accountability across the team."

Leslie Phillips
Director of Operations
Case Study

"None of the other tools gave us a solution like Weflow. From the beginning, we had a really smooth process."

Rugile Pudzevelyte
Senior Revenue Operations Manager
Case Study

"I had a first introductory call with Weflow. I think I was sold after 15 minutes. There’s no question that the people at Weflow understood the problems that we were trying to solve."

Louisa Winnik
VP Business Systems
Case Study

"I’ve worked with Gong before, but Weflow’s simplicity and real-time sync are game-changing."

Bastian Stosic
Head of Media Sales Operations
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"We use Weflow to auto-capture activity data, run deal reviews, and analyze our pipeline to inform our forecast. Being able to spot deal risks early has improved win rates and pipeline health."

Mark Reich
CRO
Products

A modular platform
to consolidate your stack.

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Activity & Contact Capture
Auto-sync emails, meetings, and contacts from Outlook or Google to Salesforce.
Conversation Intelligence
Record, transcribe, and analyze customer conversations with AI.
Deal Intelligence & Forecasting
Manage deal and forecast health with AI insights and analytics.
Ask Weflow AI
Ask anything about your calls, deals, accounts, or pipeline and get instant answers.
Agent Builder
Build workflows and agents to orchestrate actions and generate insights.
Mobile Copilot
Record in-person conversations and use AI to auto-update Salesforce.

What's Inside

Role-based enablement architecture

  • Competency maps for SDR, AE, AM/CSM, and managers tied to CRM evidence like dated next steps, MAPs, and contact roles
  • Certification gates scored on real deals: validated SDR touches, AE opps with EB engagement, and renewals with success plans attached
  • A RACI-style ownership model across training, content, messaging, and feedback so enablement accountability is unambiguous

90-day ramp system

  • A 30/60/90 plan with pre-Day-1 inputs, weekly tactics, deliverables, and metrics covering LMS completion, pitch-backs, mock calls, and first-opp milestones
  • Stage exits enforced through operational controls: dated next step, active MAP, and access to power required before any rep advances a deal
  • Post-ramp cadence with weekly in-CRM pipeline reviews, two coaching sessions per rep, playbook v1.1 releases, and MAP-at-Qualification tracking

AI-driven coaching operations

  • How conversational intelligence supports recording, topic tracking, CRM field updates, call scoring, and pipeline risk signals like single-threading or missing next steps
  • Tool evaluation criteria covering custom AI summary templates by role, human-in-the-loop field updates with change logs, and tagged clips for onboarding
  • Benchmark tables for win rate, cycle length, and forecast accuracy alongside activity targets like 80%+ follow-up and 90%+ next steps logged

Daniel Schemmert

Head of Growth at Weflow

Daniel Schemmert is the Head of Growth at Weflow, where he's built the GTM engine from scratch. He spends valuable time talking to RevOps leaders about how they run pipeline, forecasting, and Salesforce. He's also the co-founder of RevOps Chat, the Slack community where 1,000+ RevOps practitioners share what's actually working inside their revenue orgs.

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Go Deeper

Blog

90-Day Sales Onboarding Plan: Ramp Reps and Certify Readiness

Learn how to build a 90-day sales onboarding plan that ramps reps fast and certifies readiness.
Read article
Podcast

#102 Sales Enablement in the AI Native World

Discover how AI is reshaping sales enablement, why pipeline creation predicts rep success, and the flywheel every GTM team needs.
Listen now
Guide

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FAQ

Frequently asked questions

What's the difference between sales enablement and sales training, and does this cheat sheet cover both?

Training is one input inside enablement — it's the skill-building piece. Enablement is the broader system: content, tooling, coaching cadence, CRM evidence gates, and cross-functional alignment that keeps reps performing after the training event ends. This cheat sheet covers both, including a full 30/60/90-day onboarding plan, post-ramp playbook releases, and a 5-stage continuous learning cycle that ties training back to measurable deal outcomes.

Do I need a dedicated sales enablement platform like Highspot or Seismic to use this, or can I run it with what I already have?

You don't need a dedicated platform to start — the cheat sheet is built around CRM hygiene, stage exit evidence, and manager coaching cadences that work in Salesforce or HubSpot. Where specific tools are referenced (Gong, Weflow, Outreach, Seismic), they're called out as options, not prerequisites. The core framework runs on a solid Ops Home, a competency grid, and a manager willing to do 30-minute pipeline reviews in the CRM without slides.

What data and inputs do I need in place before I can actually run the 30/60/90 onboarding plan from this cheat sheet?

The cheat sheet lists six required inputs that must exist before Day 1: stage exits with CRM validations, a role competency grid, a minimum asset pack (discovery checklist, MAP template, objection guide, shadowing log), a manager coaching kit, an Ops Home as a single source of truth, and conversation intelligence set up to auto-record and sync to CRM. If those aren't ready, new hires will hit a wall around Day 30 when they're supposed to start executing on real deals with evidence-backed stage moves.

Which parts of the onboarding and coaching process should stay human-led versus handed off to AI?

Certification gates — the live role-plays, deal reviews, and pass/fail evidence checks — should stay human-led because they require judgment about whether a rep actually understands the buyer situation, not just whether they filled in the fields. AI handles the productivity layer well: call summaries, CRM field suggestions, and surfacing coaching signals like talk ratio or missing next steps. The cheat sheet is explicit that AI coaching templates score meetings and flag risks, but a manager still needs to close the loop with the rep.

How do I know if my 30/60/90 onboarding is actually working, or if reps are just completing modules?

The cheat sheet gives you concrete pass/fail evidence gates at each phase — Day 30 requires a product quiz score of ≥85% and a live pitch-back; Day 60 requires a recorded mock call and a qualification scorecard on real opportunities; Day 90 requires at least three qualified opportunities, a CRM hygiene audit score of ≥90%, and pipeline coverage of 2–3× quota. LMS completion is tracked but treated as a lagging hygiene metric, not proof of readiness — the evidence gates in the CRM are what actually tell you if the rep can sell.

How often should I revisit and refresh the enablement assets and playbooks after the initial onboarding is done?

The cheat sheet recommends a quarterly play activation cycle — pick one or two plays per quarter, bundle the assets, run a four-week activation, and tag deals so you can measure impact. Individual assets like battlecards, talk tracks, and objection guides each get a DRI and a review date, with a sunset rule to prevent stale content from sitting in Ops Home. Between quarters, a monthly win/loss synthesis and a weekly "what changed and why" note in the change log keep the playbook current without requiring a full rewrite every cycle.

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