I manage a sales team and need a copy-paste prompt pack for my day-to-day work. My sales context is [SALES CONTEXT], my team and roles are [TEAM DETAILS], and our sales process is [SALES PROCESS]. Our current priorities and constraints are [BUSINESS PRIORITIES]. Use these measures and definitions: [METRICS AND DATA RULES]. Create 8 distinct prompts I can use with ChatGPT, Claude, or Gemini for: weekly pipeline review, forecast inspection, one-on-one rep coaching, deal strategy, call review, territory or account planning, team meeting preparation, and a manager update to leadership. For each prompt, include: - A plain-language title and the situation in which to use it. - Fill-in placeholders that request the exact evidence needed, such as opportunity stage, close date, next meeting, stakeholder role, activity history, conversion rates, or quota period. - A requested output format that makes the answer usable in a management setting: tables, priority lists, coaching agenda, deal-risk memo, or meeting plan. - Specific checks appropriate to that task. For example, forecast review must separate committed deals from upside and identify close dates lacking a mutual action plan; call coaching must tie feedback to observable moments, not personality; pipeline review must flag stale next steps and single-threaded deals. Do not create outreach copy, invent CRM data, label a rep as low-performing from incomplete evidence, or recommend pressure tactics that misrepresent the product. Use only the facts entered into each prompt. If a task depends on missing data, the prompt should tell the AI to ask up to 3 clarifying questions. Before delivering the pack, self-check that each prompt has a different managerial job, requests concrete evidence, and produces a decision or next action rather than a generic summary.
Fill in
| Placeholder | What to enter | Example |
|---|---|---|
| [SALES CONTEXT] | Describe what you sell, deal size, buyer, sales motion, and sales cycle. | B2B SaaS for payroll teams; $18,000 average annual contract value; mid-market HR leaders; 60-90 day sales cycle. |
| [TEAM DETAILS] | State the number of reps, their roles, territories, and manager responsibilities. | Six account executives split by East and West; two sales development reps; I run weekly forecast and one-on-ones. |
| [SALES PROCESS] | List your opportunity stages, exit criteria, and meeting cadence. | Discovery, qualified, evaluation, security review, verbal commit, closed won/lost; qualified requires identified problem, champion, and next meeting. |
| [BUSINESS PRIORITIES] | State the current quarter goals, risks, launches, or capacity constraints. | Reach $420,000 in new ARR this quarter while improving conversion from evaluation to security review. |
| [METRICS AND DATA RULES] | Define the metrics, forecast categories, activity rules, and CRM fields your team uses. | Commit requires signed mutual action plan and confirmed procurement path; flag opportunities with no activity for 14 days; quota is quarterly new ARR. |
How to use
- Replace the bracketed fields with your actual stages and definitions so the prompts use your team’s language.
- Start with the pipeline-review and forecast prompts, then paste a small anonymized CRM export or opportunity notes.
- Check that any recommendation points to evidence such as a dated next step, stakeholder, activity record, or stage criterion.
- Follow up with: "Adapt the deal-strategy prompt for enterprise accounts with security review and legal procurement as separate milestones."
Variations
New manager pack
Use when taking over a team and establishing a management cadence.
I am a new sales manager for [TEAM AND MARKET]. Our current process is [STAGES AND EXIT CRITERIA], and the first 30-day priorities are [PRIORITIES]. Create six prompts for learning the business, reviewing pipeline hygiene, preparing initial one-on-ones, identifying coaching themes, running a forecast call, and reporting early observations. Each prompt must request evidence from [CRM FIELDS OR REPORTS] and return a practical agenda or decision list. Avoid unsupported judgments about people. Self-check that the prompts distinguish observations from conclusions and do not change comp plans or process without leadership approval.
Forecast review
Use before a weekly forecast call or leadership update.
Analyze this sales forecast for [PERIOD]: [OPPORTUNITY DATA]. Our commit definition is [COMMIT RULES], and our target is [TARGET]. Return a table that separates commit, upside, pipeline, and excluded deals; names the evidence for each classification; identifies coverage gaps; and lists the three actions most likely to change the forecast. Flag close dates without a buyer-confirmed milestone, deals lacking economic buyer access, and amounts counted twice. Do not invent buyer intent or probability. Self-check that category totals reconcile to the supplied data.
Rep coaching
Use after a call review or one-on-one.
Build a coaching plan for this rep using [CALL NOTES OR RECORDING TRANSCRIPT], [PIPELINE EVIDENCE], and [ROLE EXPECTATIONS]. Focus on one skill to retain and one or two behaviors to improve. Produce an evidence-based feedback script, two practice exercises, a measurable next-week commitment, and what I should inspect in the next call. Separate observed behavior from inference, and do not make personality judgments. Ask up to 3 questions if a needed performance expectation is missing. Self-check that every feedback point cites a concrete moment or data point.
Tips
- Define stage exit criteria before asking for forecast analysis; a probability percentage without evidence is not a forecast discipline.
- Anonymize customer names when sharing call notes or pipeline exports unless your company policy permits the data in the AI tool.
- Use call-review prompts to inspect discovery quality, stakeholder coverage, agreed next steps, and qualification—not to generate vague encouragement.
- Track coaching commitments over at least two review cycles so a one-off weak call does not become a performance conclusion.
FAQ
Can AI accurately forecast my sales number?
It can organize the evidence and identify forecast risk, but the forecast is only as reliable as the CRM data, stage definitions, and buyer-confirmed information you provide.
What data should I give an AI for deal strategy?
Include stage, amount, close date, customer problem, stakeholders, competition, decision process, last activity, next meeting, and known blockers.
Can I use these prompts for performance management?
Use them to prepare evidence-based coaching. Follow your company’s HR policy and use complete records before making formal performance decisions.