What it is
The agreed way your team finds, qualifies, pitches and closes: who to sell to, what to say, what to ask, how to handle a no. It turns your best reps’ habits into a standard.
Sales playbook
The sales playbook we run Taskbase on
Cold calling, discovery, demos, executive meetings, SPICED and MEDDICC, objections, competitors and customer success: 406 pages, exactly as our own reps and our AI use them today.
- 406pages
- 10areas, from ICP to renewals
- 1source of truth for reps and AI
The basics
What is a sales playbook?
A sales playbook is the written answer to “how do we sell here?”. One place that every rep, manager and new hire can rely on, instead of ten versions in ten heads.
What goes into it
Your ideal customer and buyer personas, the sales process and its stages, discovery and demo guides, qualification (SPICED, MEDDICC), talk tracks and objections, competitors, pricing rules and the handover to customer success.
What you do with it
Onboard reps in weeks instead of months, coach against one standard, review deals the same way every time, and update it as the market moves. A playbook that nobody uses or updates is a PDF, not a playbook.
The structure
What is inside our 406 pages
These are the areas and chapters of the Revenue Playbook as it stands today. Use them as a template for yours.
- 01
Foundation
pages 5–28
- Purpose, ownership and glossary
- Sales organisation and vision
- Ideal customer profile
- Buyer personas and buying committee
- Rep guardrails
- 02
Lead management and scoring
pages 29–35
- From cold to warm calling
- Lead status as the shared truth
- Scoring model, account fit, persona fit
- Daily call lists
- Marketing-to-sales handover
- 03
Product, value and differentiation
pages 36–73
- Core value proposition
- Use cases and impact by persona
- Differentiation and claim guardrails
- Tech stack and integrations
- 04
The sales process
pages 122–166
- Sales process and stages
- Discovery calls
- Demos and tailored demos
- Team demos and value workshops
- Executive meetings
- Legal, compliance and works council meetings
- 05
Qualification and deal review
pages 167–198
- SPICED below €100K
- MEDDICC from €100K
- Evidence needed per stage
- Deal risk board and scoring
- 06
Outreach and cold calling
pages 199–214, 259–268
- Outreach operating model
- Pitch
- Cold calls: openers, call flow, closing for the meeting
- Cold LinkedIn messages
- Cold emails
- 07
Objection handling
pages 269–286
- The method behind every answer
- Cold-call objections
- Prospect-call objections
- When to stop handling an objection
- 08
Competitive intelligence
pages 218–255
- The competitive landscape
- Response framework
- Positioning principles
- Win and loss capture
- 09
Customer success
pages 287–341
- Handover and onboarding
- Pilots
- Success planning and ROI
- Adoption and customer health
- Risk, churn and renewals
- Expansion and advocacy
- 10
Team, partners and operations
pages 74–121, 256–258, 342–406
- Onboarding, ramp plans and certification
- Hiring and ideal rep profile
- KPIs and compensation principles
- Pricing, legal and procurement
- Partner management
Written for AI
It is not pretty. It is complete.
Sales reps do not read playbooks anyway. So ours is not written to be read from page one. It is written so that Taskbase has the whole context at any moment.
It coaches from the playbook
Taskbase knows our product, pitch and objections better than any single rep, and coaches against them after every call.
It automates from the playbook
The lead scoring chapter and the ideal customer profile tell Taskbase whom to look for, how to score contacts and which ones reps should call today, in Slack, Microsoft Teams or Google Chat.
One place to change
Change a rule in the playbook and Taskbase changes how it works with every rep. The sales leader describes how the team works once.
A living playbook
No human can keep 406 pages up to date. The AI does.
New competitors appear every week, the product ships fast and reps find better techniques than the ones written down. Taskbase notices all of it and proposes the change, and a person accepts or rejects it.
It spots what is wrong
It compares calls and market changes with the playbook and shows where the playbook is out of date.
It suggests the edit
A new objection, a new competitor, a better opener: it writes the proposed text and links the call it learned it from.
You stay in control
Nothing changes without a person accepting it. The playbook keeps its history and its owner.
Objection handling & competitive intelligence
Last updated 21/09/2026
Suggestion i
“How is this different from connecting everything to ChatGPT and just asking the same questions myself?”
“A one-off answer works. Taskbase keeps a maintained system: your playbook plus real calls, written back to the CRM, so coaching builds up instead of resetting.”
Don’t argue model quality. Move from a one-off answer to a system that compounds.
RejectAccept
Based on
New objection from a discovery call on 15 Sep. Proposed row for the objection table.
A suggestion in the Playbook tab: a new objection from a real call, proposed as a row for the objection table.
Free download
Get the full playbook as a PDF
Enter your work email and we send you the 406 pages. Use it as a template, copy what works and adapt it to your team.
We share the playbook with sales teams, not with competitors. We use your email to send it and may write to you about Taskbase.
Want a playbook that updates itself?
Bring your own playbook, or start from ours. We show you how Taskbase coaches from it and keeps it current.