ChatGPT Prompts for Business Development
Thirty role-built prompts to source partners, structure deals, write winning proposals, and forecast pipeline — swap in your own details and run them.
In short: This page contains 30 copy-paste ready prompts, organized into 6 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Drafted with AI writing assistance and checked against our editorial policy.
Prospecting & Outreach
5 promptsAccount Research Brief
1/30✨ What it does
ChatGPT turns your public notes on [PARTNER] into a one-page account brief with a clear point of view for how [COMPANY] should approach them in [INDUSTRY]. You fill any missing facts, then use that brief before you write the first email.
<context> I do business development at [COMPANY] and I am preparing to approach [PARTNER], a company in the [INDUSTRY] space. Our offering is: [WHAT YOU SELL/OFFER]. I have these public facts about them: [NOTES, FUNDING, NEWS, HEADCOUNT]. </context> <task> 1. Build a one-page account brief on [PARTNER]: likely strategic priorities, recent triggers (funding, hires, launches, expansions), and probable pain points relevant to our offering. 2. Map 3-5 plausible buying-committee roles and what each one cares about. 3. Identify the single sharpest reason [PARTNER] would engage with [COMPANY] right now. 4. List 5 open questions I should answer before outreach and where I might find each answer. 5. Flag any reason this account may be a poor fit so I can disqualify early. </task>
Pro tip: Paste the prospect's homepage and latest press release into the same message so ChatGPT grounds the brief in their actual words instead of generic guesses.
Cold Outreach Email Set
2/30✨ What it does
ChatGPT writes three distinct cold emails to [CONTACT NAME], the [TITLE] at [PARTNER], tied to [TRIGGER EVENT] and the outcome [COMPANY] offers, plus subject lines. You send the variant that sounds most like you, then book the 20-minute intro if they reply.
<context> I am reaching out cold to [CONTACT NAME], the [TITLE] at [PARTNER]. [COMPANY] helps companies like theirs [CORE VALUE PROP / OUTCOME]. The trigger I noticed is: [TRIGGER EVENT]. My goal is a 20-minute intro call. </context> <task> 1. Write 3 distinct cold email variants (under 90 words each): one trigger-led, one peer-proof-led, one direct-ask-led. 2. For each, give a subject line under 6 words and a one-line preview text. 3. Make every email reference something specific to [PARTNER] — no generic flattery. 4. End each with a single low-friction ask (specific day/time or a yes/no question). 5. Note which variant fits which buyer persona and why. </task>
Pro tip: Ask ChatGPT to rewrite the winning variant at a 6th-grade reading level — short, scannable emails get more replies than polished ones.
LinkedIn Connection Sequence
3/30✨ What it does
ChatGPT writes a LinkedIn warming sequence for [CONTACT NAME], [TITLE] at [PARTNER], starting with a connection note under 300 characters that uses [RECENT POST / SHARED CONNECTION / INTEREST]. You send the note, then run the later touches before you mention [COMPANY].
<context> I want to warm up [CONTACT NAME], [TITLE] at [PARTNER], on LinkedIn before pitching [COMPANY]. Context on them: [RECENT POST / SHARED CONNECTION / INTEREST]. Our angle: [VALUE PROP]. </context> <task> 1. Write a connection request note under 300 characters that earns the accept without pitching. 2. Draft a 4-touch follow-up sequence after they accept: comment idea, value-add DM, soft ask, direct ask — spaced over ~2 weeks. 3. Keep every touch conversational and specific to [PARTNER]; no copy-paste vibes. 4. Suggest one piece of content I could engage with first to appear in their feed naturally. 5. Give me a rule for when to stop and move on. </task>
Pro tip: Drop in the text of their most recent post; ChatGPT will mirror their tone and reference it, which makes the first touch feel earned.
Ideal Partner Profile Builder
4/30✨ What it does
ChatGPT synthesizes an Ideal Partner Profile from the traits of your best deals at [COMPANY], plus the search filters to find more like them. You load those filters in your prospecting tool, then ignore accounts that miss the profile.
<context> [COMPANY] does [WHAT YOU DO]. Our best existing partners/customers share these traits: [LIST TRAITS, DEALS WON, SEGMENTS]. I need to define who to target next. </context> <task> 1. Synthesize an Ideal Partner Profile from the traits I gave: firmographics, technographics, motivations, and disqualifiers. 2. Score the profile dimensions by how predictive each is of a closed deal. 3. List 10 search filters (industry, size, tech stack, signals) I could use in a database like Apollo or LinkedIn Sales Nav to find lookalikes. 4. Suggest 3 adjacent segments worth testing and the hypothesis behind each. 5. Write a one-sentence positioning line for each segment. </task>
Pro tip: Feed in a list of your 10 best closed deals; ChatGPT reverse-engineers patterns far better from real examples than from abstract criteria.
Warm Intro Request Drafts
5/30✨ What it does
ChatGPT writes a forwardable blurb [CONNECTOR NAME] can paste to [CONTACT NAME] at [PARTNER], plus the short ask you send the connector about [VALUE PROP]. You send both to [CONNECTOR NAME], then wait for the double opt-in before you follow up.
<context> I want an introduction to [CONTACT NAME] at [PARTNER]. My connector is [CONNECTOR NAME], who knows them via [RELATIONSHIP]. [COMPANY] offers [VALUE PROP]. </context> <task> 1. Write a short forwardable blurb [CONNECTOR NAME] can paste to [CONTACT NAME] — make me look credible in 3 sentences. 2. Write the separate message I send to [CONNECTOR NAME] asking for the intro, making it effortless for them to say yes. 3. Give the connector an easy out so the ask never feels heavy. 4. Suggest what I should offer the connector in return. 5. Draft my thank-you follow-up regardless of whether the intro happens. </task>
Pro tip: Tell ChatGPT the forwardable blurb must be copy-paste ready in one block — connectors forward what is frictionless and edit what is not.
Partnership Strategy
5 promptsPartnership Opportunity Map
6/30✨ What it does
ChatGPT maps partnership models for [COMPANY] across the categories you are considering, with value created, target partner types, and success metrics for [TARGET MARKET]. You pick the two models you can staff, then start outreach in those lanes.
<context> [COMPANY] does [WHAT YOU DO] for [TARGET MARKET]. I want to map partnership opportunities. Candidate categories I am considering: [INTEGRATION / RESELLER / CO-MARKETING / REFERRAL / etc.]. </context> <task> 1. For each partnership category, explain the value it creates for [COMPANY] and for the partner. 2. Rank the categories by effort-to-impact for a company at our stage. 3. For the top 2 categories, name the kinds of [PARTNER] organizations to pursue and the joint value proposition. 4. List the success metric that proves each partnership type is working. 5. Flag the most common way each partnership type fails so I can design against it. </task>
Pro tip: Ask ChatGPT to assume a specific company stage (e.g. seed, Series B) — partnership priorities differ sharply by stage and the generic answer hides that.
Mutual Value Proposition
7/30✨ What it does
ChatGPT writes a mutual value proposition for [COMPANY] and [PARTNER] that leads with their upside from [THEIR ASSETS] and what you bring around [DEAL CONCEPT]. You check the quantified assumptions, then put that paragraph at the top of the proposal.
<context> I am proposing a partnership between [COMPANY] and [PARTNER]. We bring: [OUR ASSETS — audience, tech, distribution]. They bring: [THEIR ASSETS]. The deal idea is: [DEAL CONCEPT]. </context> <task> 1. Articulate the mutual value proposition in one crisp paragraph framed around what [PARTNER] gains. 2. Quantify the upside for each side with the assumptions stated explicitly. 3. Identify what each side must contribute and where incentives could misalign. 4. Draft 3 talking points I can lead with in the first partnership conversation. 5. List the 3 objections [PARTNER] is most likely to raise and a response to each. </task>
Pro tip: Have ChatGPT mark every number as [ASSUMPTION] so you do not accidentally present its estimates as facts in a partner meeting.
Co-Marketing Campaign Plan
8/30✨ What it does
ChatGPT plans a joint campaign for [COMPANY] and [PARTNER] aimed at [AUDIENCE], with a shared theme, timeline, lead-split rules, promo copy, and KPIs toward [LEADS / SIGNUPS / AWARENESS]. You lock the split in writing, then run the assets you already have.
<context> [COMPANY] and [PARTNER] want to run a joint co-marketing campaign. Shared audience: [AUDIENCE]. Our goal: [LEADS / SIGNUPS / AWARENESS]. Assets available: [WEBINAR / EBOOK / EMAIL LIST / EVENT]. </context> <task> 1. Propose a campaign concept with a single shared theme both brands can own. 2. Lay out a 4-week timeline with each side's deliverables and owners. 3. Define how leads and credit get split and tracked to avoid disputes. 4. Draft the joint promotional copy: one email and one social post per brand. 5. List the 5 KPIs we report on jointly and the cadence for reviewing them. </task>
Pro tip: Ask for the lead-attribution rules in writing first — most co-marketing partnerships sour over who owns the leads, not over the content.
Partner Tiering Framework
9/30✨ What it does
ChatGPT designs a 3-tier partner program for [COMPANY] with entry criteria, benefits, and promotion metrics, using the partner types and resources you listed. You publish the tiers, then move current partners only when they meet the bar.
<context> [COMPANY] is building a partner program and I need to tier partners. Partner types we have: [REFERRAL / RESELLER / TECH / AGENCY]. Resources we can offer: [MARGINS, MDF, SUPPORT, LEADS]. </context> <task> 1. Design a 3-tier partner framework with clear entry criteria for each tier. 2. Map the benefits and obligations per tier so the upgrade incentive is obvious. 3. Recommend the margin/reward structure per tier given our resources. 4. Define the quarterly metrics that move a partner up or down a tier. 5. Write the one-paragraph pitch I give a [PARTNER] explaining why tiering benefits them. </task>
Pro tip: Tell ChatGPT your actual margin budget; without a constraint it will design a generous program you cannot afford to fund.
Channel Conflict Resolution
10/30✨ What it does
ChatGPT diagnoses the channel conflict at [COMPANY], proposes rules of engagement for [PARTIES], and drafts a partner-facing resolution message. You agree the rules internally first, then send that message so partners stay motivated.
<context> [COMPANY] is seeing channel conflict: [DESCRIBE — e.g. direct sales competing with a reseller, two partners chasing the same [DEAL]]. The parties are: [PARTIES]. Our goal is to keep partners motivated without losing revenue. </context> <task> 1. Diagnose the root cause of this channel conflict. 2. Propose 3 rules of engagement (deal registration, territory, account ownership) that prevent recurrence. 3. Recommend how to handle the current disputed [DEAL] fairly. 4. Draft the message I send to the affected [PARTNER] explaining the resolution. 5. Note what to monitor so I catch the next conflict before it escalates. </task>
Pro tip: Describe the conflict from each party's perspective in the prompt; ChatGPT writes a fairer resolution when it can see both sides' incentives.
Deal Structuring
5 promptsDeal Structure Options
11/30✨ What it does
ChatGPT proposes three deal structures for the [DEAL] between [COMPANY] and [PARTNER], compared on risk, upside, and complexity, with a recommendation inside [BUDGET, TIMING, RISK TOLERANCE]. You pick the structure both sides can live with, then take it to legal.
<context> I am structuring a [DEAL] between [COMPANY] and [PARTNER]. The scope is: [WHAT IS BEING EXCHANGED]. Constraints: [BUDGET, TIMING, RISK TOLERANCE]. Both sides want: [GOALS]. </context> <task> 1. Propose 3 distinct deal structures (e.g. flat fee, rev-share, hybrid, equity-for-services) that fit the constraints. 2. For each, lay out who pays whom, when, and on what trigger. 3. Compare the structures on risk, upside, and complexity in a short table. 4. Recommend one structure for [COMPANY] and explain the trade-off I am accepting. 5. List the terms I should negotiate hardest in the recommended structure. </task>
Pro tip: Ask ChatGPT to render the comparison as a markdown table — it makes the trade-offs scannable and you can paste it straight into a deal memo.
Pricing & Terms Negotiation Prep
12/30✨ What it does
ChatGPT builds a lever-by-lever negotiation plan for the [DEAL] with [PARTNER], including opening language, trade ranges, and counters from [TARGET] down to [BATNA]. You open with that language, then concede only inside the ranges you wrote down.
<context> I am negotiating the [DEAL] terms with [PARTNER]. My target outcome: [TARGET]. My walk-away point: [BATNA]. Their likely position: [WHAT YOU KNOW]. Key levers: [PRICE, TERM LENGTH, EXCLUSIVITY, VOLUME]. </context> <task> 1. Build my negotiation plan: opening position, target, and walk-away for each lever. 2. Identify which levers I can trade cheaply for ones I value highly. 3. Anticipate [PARTNER]'s 4 strongest arguments and prepare my counter to each. 4. Suggest 2 creative concessions that cost [COMPANY] little but feel valuable to them. 5. Draft the exact language for my opening offer. </task>
Pro tip: Give ChatGPT your real BATNA; it calibrates how aggressive to be only when it knows your true walk-away point.
Contract Risk Reviewer
13/30✨ What it does
ChatGPT does a plain-English business-risk pass on the draft terms from [PARTNER] for the [DEAL], flags clauses that hurt [COMPANY], and lists questions for your lawyer. You send those questions to counsel, then do not sign until they answer.
<context> I received draft terms from [PARTNER] for the [DEAL]. I am not a lawyer and want to spot business risks before legal review. The key clauses are: [PASTE CLAUSES OR SUMMARY]. </context> <task> 1. Flag clauses that are unusually favorable to [PARTNER] or risky for [COMPANY]. 2. Translate any dense legal language into plain English. 3. List the 5 questions I should raise with our lawyer, ranked by importance. 4. Suggest balanced alternative wording for the 2 riskiest clauses. 5. Add a clear disclaimer that this is not legal advice and a lawyer must review. </task>
Pro tip: Always keep ChatGPT's output as input to your lawyer, never a replacement — ask it to phrase findings as questions, not legal conclusions.
Revenue Share Model
14/30✨ What it does
ChatGPT models revenue and margin for [COMPANY] and [PARTNER] under the proposed [SPLIT], using [VOLUME], [PRICE], [COSTS], and a [MONTHS] horizon, including your break-even split. You replace the guesses with live numbers, then renegotiate if you sit below break-even.
<context> The [DEAL] with [PARTNER] involves revenue sharing. Inputs: expected deal volume [VOLUME], price point [PRICE], our costs [COSTS], proposed split [SPLIT]. Time horizon: [MONTHS]. </context> <task> 1. Model the revenue and margin for [COMPANY] and [PARTNER] under the proposed split. 2. Run 3 scenarios — conservative, expected, optimistic — and show each side's take. 3. Identify the split point at which the deal stops being worth it for [COMPANY]. 4. Recommend a split that is fair yet protects our margin, with the reasoning. 5. List the assumptions that most affect the outcome so I can pressure-test them. </task>
Pro tip: Ask ChatGPT to state the formula it used for each line; you can then drop the same logic into a spreadsheet and trust the numbers.
Deal Memo Writer
15/30✨ What it does
ChatGPT writes a one-page internal memo on the [DEAL] with [PARTNER] covering structure, [VALUE], [TERM], [RISKS], and what the approver cares about. You attach the missing proof, then send the memo for a fast yes or no.
<context> I need an internal deal memo to get sign-off on the [DEAL] with [PARTNER]. Details: structure [STRUCTURE], value [VALUE], term [TERM], risks [RISKS]. Approver cares most about: [WHAT THEY CARE ABOUT]. </context> <task> 1. Write a one-page deal memo: summary, strategic rationale, terms, economics, risks, and the ask. 2. Lead with the decision being requested and the recommendation. 3. Quantify the expected impact and state the key assumptions. 4. Pre-empt the 3 questions the approver is most likely to ask. 5. Keep it skimmable — bold the numbers and the recommendation. </task>
Pro tip: Tell ChatGPT who the approver is and what they obsess over (margin, risk, speed) so the memo leads with what unlocks the yes.
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Proposals & Pitches
5 promptsPartnership Proposal Draft
16/30✨ What it does
ChatGPT drafts a full partnership proposal from [COMPANY] to [PARTNER] around [DEAL CONCEPT] and [THE ASK], written for a [TITLE] who cares about [PRIORITIES], with a clear next step. You edit it in their language, then send it with a date to decide.
<context> I am sending a formal partnership proposal from [COMPANY] to [PARTNER]. The opportunity: [DEAL CONCEPT]. What we want them to agree to: [THE ASK]. Their decision-maker: [TITLE] who cares about [PRIORITIES]. </context> <task> 1. Draft a complete partnership proposal: executive summary, the opportunity, what each side brings, proposed terms, success metrics, and next steps. 2. Frame the whole thing around outcomes [PARTNER] cares about, not our features. 3. Make the executive summary stand alone — it must sell the deal in 5 sentences. 4. Include a clear, single call to action with a proposed timeline. 5. Keep the tone confident and peer-to-peer, never deferential. </task>
Pro tip: Have ChatGPT write the executive summary last and separately — then check it sells the deal on its own, since busy execs read only that.
Pitch Deck Outline
17/30✨ What it does
ChatGPT outlines a 10-12 slide pitch for the [DEAL] to [PARTNER], with a one-line purpose per slide, takeaway headlines, and proof from [METRICS, LOGOS, RESULTS]. You build those slides for [WHO IS IN THE ROOM], then drive the meeting toward [GET TO NEXT STEP / SIGN].
<context> I need a pitch deck for [COMPANY] to present the [DEAL] to [PARTNER]. Audience: [WHO IS IN THE ROOM]. The goal of the meeting: [GET TO NEXT STEP / SIGN]. Our key proof points: [METRICS, LOGOS, RESULTS]. </context> <task> 1. Outline a 10-12 slide deck with a one-line purpose for each slide. 2. Write the headline (the takeaway, not the topic) for every slide. 3. Specify the single proof point or visual that earns each slide its place. 4. Build the narrative so each slide sets up the next toward the ask. 5. Suggest where to insert the strongest emotional hook and the strongest logical hook. </task>
Pro tip: Ask for slide headlines as full-sentence takeaways; a deck whose headlines read top-to-bottom as a story survives being forwarded without you.
Objection Handling Script
18/30✨ What it does
ChatGPT writes acknowledge-reframe-evidence-advance replies for the likely [DEAL] objections from [PARTNER], plus tests that tell a real no from a stall. You practice those replies before the call, then use the stall test when they go quiet.
<context> I am pitching the [DEAL] to [PARTNER] and expect pushback. Their likely concerns: [PRICE / TIMING / FIT / RISK / INTERNAL BUY-IN]. Context: [SITUATION]. </context> <task> 1. For each likely objection, write a response using acknowledge-reframe-evidence-advance. 2. Distinguish real objections from stalls and tell me how to test which is which. 3. Provide one proof point or analogy for each objection. 4. Give me a question I can ask to surface the objection behind the objection. 5. Script a graceful way to hold my ground on price without damaging the relationship. </task>
Pro tip: Feed ChatGPT the actual phrases the prospect used; it tailors the reframe far better when it sees their exact wording, not a paraphrase.
Follow-Up After Pitch
19/30✨ What it does
ChatGPT drafts a follow-up email after the [DEAL] pitch to [PARTNER] that recaps value in their words, handles leftover concerns, and locks [NEXT STEP], plus a shorter nudge. You send the recap the same day, then use the nudge if they go silent.
<context> I just pitched the [DEAL] to [PARTNER]. What happened: [HOW IT WENT, WHAT THEY SAID]. Open items: [QUESTIONS / CONCERNS LEFT]. Next step we agreed (or hoped for): [NEXT STEP]. </context> <task> 1. Draft a follow-up email that recaps the value discussed in their language. 2. Address the open items from the meeting concretely. 3. Confirm or propose a specific next step with a date. 4. Add a single piece of momentum — a relevant resource, proof point, or small commitment. 5. Give me a second, shorter nudge version to send if there is no reply in 5 days. </task>
Pro tip: Tell ChatGPT exactly what was said in the room; specific callbacks to the conversation prove you listened and lift reply rates.
One-Pager Sell Sheet
20/30✨ What it does
ChatGPT writes a one-page sell sheet for [COMPANY] to leave with [PARTNER], with a sharp headline, problem, solution, outcomes, and proof from [RESULTS, LOGOS] for [INDUSTRY / USE CASE]. You print the version that fits the meeting, then leave it behind.
<context> I need a one-page sell sheet for [COMPANY] to leave with [PARTNER] after meetings. Offering: [WHAT WE DO]. Their context: [INDUSTRY / USE CASE]. Strongest proof: [RESULTS, LOGOS]. </context> <task> 1. Write a one-pager: a sharp headline, the problem, our solution, 3 outcome-focused benefits, proof, and a CTA. 2. Make every line skimmable in under 30 seconds. 3. Tailor the language to [PARTNER]'s industry and use case. 4. Lead with the outcome, not the feature, in each benefit. 5. Suggest 2 headline variants so I can A/B which lands. </task>
Pro tip: Ask ChatGPT to keep the whole sheet under 200 words; a one-pager that needs scrolling is no longer a one-pager and gets skipped.
Relationship Management
5 promptsStakeholder Map
21/30✨ What it does
ChatGPT maps each person around the [DEAL] at [PARTNER] by role, influence, and stance, plus a next action per person toward [EXPAND / RENEW / RESCUE THE RELATIONSHIP]. You work the skeptics first, then update the map after each meeting.
<context> I am managing the [DEAL]/account [PARTNER]. The people involved: [LIST NAMES, TITLES, WHAT I KNOW]. My goal: [EXPAND / RENEW / RESCUE THE RELATIONSHIP]. </context> <task> 1. Build a stakeholder map: for each person, their role in the decision, influence level, and stance toward [COMPANY]. 2. Identify my champion, my blocker, and anyone I have not yet engaged. 3. Recommend the next action for each key stakeholder. 4. Spot the single biggest relationship gap that puts the account at risk. 5. Suggest how to multi-thread so the relationship survives one person leaving. </task>
Pro tip: Ask ChatGPT to flag every stakeholder you have NOT yet contacted; single-threaded accounts are the ones that churn when your one contact leaves.
Quarterly Business Review Prep
22/30✨ What it does
ChatGPT builds a QBR agenda and data story for [PARTNER] that proves value against [GOALS] and sets up [EXPANSION / RENEWAL]. You fill the metrics you actually delivered, then run that agenda so the ask is not a surprise.
<context> I am running a QBR with [PARTNER]. Relationship history: [WHAT WE DELIVERED, METRICS]. Their goals: [GOALS]. Where we want to take it: [EXPANSION / RENEWAL]. </context> <task> 1. Build the QBR agenda: value delivered, results vs their goals, roadmap, and the expansion conversation. 2. Translate our results into the business outcomes [PARTNER] actually measures. 3. Prepare the data story that justifies renewal or expansion. 4. Anticipate where they may push back and prep a response. 5. End with a clear mutual action plan for next quarter. </task>
Pro tip: Have ChatGPT convert your delivery metrics into the partner's own KPIs — a QBR that speaks their numbers, not yours, is what renews deals.
Re-Engagement Outreach
23/30✨ What it does
ChatGPT diagnoses why [PARTNER] went quiet since [WHEN], writes a re-engagement note around [TRIGGER / NEWS / VALUE] with a low-friction ask, and adds a break-up line. You send the note, then use the break-up if they still stay silent.
<context> [PARTNER] has gone quiet — last contact was [WHEN] about [WHAT]. The relationship was [STATUS]. I want to revive it without sounding desperate. New angle I can offer: [TRIGGER / NEWS / VALUE]. </context> <task> 1. Diagnose the most likely reasons they went quiet. 2. Write a re-engagement message built around the new angle, not a guilt trip. 3. Make the ask tiny so replying is easy. 4. Give me a pattern-interrupt subject line that earns the open. 5. Recommend how long to wait and the one final break-up message if silence continues. </task>
Pro tip: Ask ChatGPT for a genuinely valuable reason to reach out (an intro, a resource, news) — "just checking in" emails are the ones that stay unanswered.
Difficult Conversation Script
24/30✨ What it does
ChatGPT scripts a direct conversation with [PARTNER] about the issue, with an open, a clear statement, and a close aimed at [OUTCOME] that still protects the relationship. You say it out loud once, then run the script and stop if they need time.
<context> I need to have a hard conversation with [PARTNER] about [ISSUE — missed deliverable, price increase, scope creep, underperformance]. The relationship matters because: [WHY]. My desired outcome: [OUTCOME]. </context> <task> 1. Script the conversation: how to open, state the issue, and propose a path forward. 2. Keep it direct but preserve the relationship and their dignity. 3. Prepare for their likely emotional and rational reactions. 4. Define my must-haves versus my nice-to-haves going in. 5. Suggest how to end on a constructive, forward-looking note. </task>
Pro tip: Ask ChatGPT to write it as a live dialogue with their probable replies; rehearsing the back-and-forth beats memorizing a monologue.
Relationship Health Tracker
25/30✨ What it does
ChatGPT defines a lightweight health scorecard for your [PARTNER] accounts on [LIST], with signals, thresholds, actions, and a copy-ready template. You score each account this week, then act on the ones below the threshold.
<context> I manage several [PARTNER] relationships and want a simple way to track their health. My accounts: [LIST]. Signals I can observe: [ENGAGEMENT, USAGE, SENTIMENT, PAYMENT, EXEC CHANGES]. </context> <task> 1. Define a lightweight relationship-health scorecard with 5-6 signals and a simple rating scale. 2. Set the thresholds that classify each account as green, yellow, or red. 3. Recommend the action triggered by each color. 4. Suggest a review cadence I can actually sustain. 5. Output a blank template I can copy into a spreadsheet and fill in weekly. </task>
Pro tip: Ask for the template as a pipe-delimited table; it pastes cleanly into Sheets or Notion so the tracker survives past week one.
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Pipeline & Forecasting
5 promptsPipeline Stage Audit
26/30✨ What it does
ChatGPT audits each [DEAL] in the [COMPANY] pipeline against [STAGES], flags miscategorized, stale, and at-risk rows, and gives a next action for each. You move or kill the flagged deals the same day, then update the board before forecast.
<context> I manage a business development pipeline at [COMPANY]. My current deals: [PASTE LIST — partner, value, stage, last activity, next step]. My stages are: [STAGES]. </context> <task> 1. Audit each [DEAL] for whether it is genuinely in the stage it is marked. 2. Flag stale deals (no recent activity) and deals missing a clear next step. 3. Identify the 3 deals most likely to slip and why. 4. Recommend the single highest-leverage action for each at-risk deal. 5. Summarize the overall health of the pipeline in 3 sentences. </task>
Pro tip: Paste your pipeline as a table including last-activity dates; ChatGPT spots stale deals instantly when it can see the dates rather than guessing.
Weighted Forecast Builder
27/30✨ What it does
ChatGPT builds a weighted forecast for [COMPANY] from [PARTNER, VALUE, STAGE, CLOSE DATE], with commit, best, and worst cases and the gap to target. You lock the probabilities with [RATES, OR ASK ME], then report the commit number, not the wish list.
<context> I need to forecast my business development pipeline at [COMPANY]. Deals: [PARTNER, VALUE, STAGE, CLOSE DATE]. My historical close rates by stage: [RATES, OR ASK ME]. </context> <task> 1. Build a weighted forecast applying close probability by stage to each [DEAL]. 2. Produce a committed, best-case, and worst-case number for the period. 3. Show which 3 deals swing the forecast most. 4. Identify the gap to my target [TARGET] and how much new pipeline I need to cover it. 5. State every assumption so I can adjust the probabilities. </task>
Pro tip: If you do not know your stage close rates, ask ChatGPT for industry-typical defaults and label them as assumptions you will replace with your real data.
Deal Velocity Analysis
28/30✨ What it does
ChatGPT finds the stage where [DEAL]s stall longest at [COMPANY] from the time-in-stage data, names likely causes, and suggests changes against a [LENGTH] cycle. You change the stuck stage first, then measure whether deals move faster.
<context> I want to find what slows deals down at [COMPANY]. Recent closed and lost [DEAL]s with time-in-stage: [PASTE DATA]. Average sales cycle: [LENGTH]. </context> <task> 1. Identify which stage deals get stuck in longest and the likely causes. 2. Compare velocity patterns of won versus lost deals. 3. Recommend 3 concrete changes to speed up the slowest stage. 4. Suggest an early signal that predicts a deal will stall. 5. Estimate the revenue impact of cutting the slowest stage by a third. </task>
Pro tip: Give ChatGPT both won and lost deals; the contrast between them reveals the bottleneck far more sharply than won deals alone.
Pipeline Gap Action Plan
29/30✨ What it does
ChatGPT calculates the pipeline gap at [COMPANY] from [TARGET], [AMOUNT], [SIZE], [RATE], and [TIME], then splits the shortfall into prioritized, time-boxed actions. You start the highest-yield action this week, then recount the gap on Friday.
<context> My [COMPANY] pipeline is short of target. Target for the period: [TARGET]. Current weighted pipeline: [AMOUNT]. Average deal size: [SIZE]. Average close rate: [RATE]. Time left: [TIME]. </context> <task> 1. Calculate the pipeline gap and how many new opportunities are needed to close it. 2. Break the gap into actions: accelerate existing deals, expand current partners, and source net-new. 3. Prioritize the actions by speed-to-revenue given the time left. 4. Build a week-by-week plan to close the gap. 5. Flag the risk that the gap is a demand problem, not an activity problem. </task>
Pro tip: Ask ChatGPT to challenge whether more activity even fixes the gap; sometimes the real problem is targeting or pricing, and it will tell you if prompted.
BizDev Activity Report
30/30✨ What it does
ChatGPT writes a results-first BizDev update for [LEADERSHIP] that turns this period's activity into the metrics in [WHAT MATTERS TO THEM], using [SUMMARY] for pipeline state. You cut vanity counts, then send the update before they ask.
<context> I need to report my business development progress to [LEADERSHIP]. This period I: [ACTIVITIES — outreach, meetings, deals advanced, partnerships signed]. Pipeline state: [SUMMARY]. They care about: [WHAT MATTERS TO THEM]. </context> <task> 1. Write a concise BizDev update: outcomes, pipeline movement, wins, and risks. 2. Lead with results and impact, not a list of activities. 3. Translate activity into the business metrics leadership tracks. 4. Be honest about what is at risk and what I need from them. 5. End with my priorities for next period in 3 bullets. </task>
Pro tip: Tell ChatGPT to ruthlessly cut activity-counting; leadership wants outcomes and asks, so anything that does not move the number gets trimmed.
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