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 15 prompts are free instantly — no signup needed. Hand-curated and tested by the AI Academy team.
Prospecting & Outreach
5 promptsAccount Research Brief
1/30<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>
A structured pre-outreach research brief that turns scattered notes into a clear point of view on the account.
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<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>
Three ready-to-send cold email variants tailored to a specific contact and trigger, plus subject lines.
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<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>
A multi-touch LinkedIn warming sequence that builds familiarity before any ask.
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<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>
A data-grounded Ideal Partner Profile plus the exact search filters to find more like your best deals.
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<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>
A double-opt-in warm intro kit: the forwardable blurb plus the ask to your connector.
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.
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Partnership Strategy
5 promptsPartnership Opportunity Map
6/30<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>
A prioritized map of partnership models with value props, target partner types, and success metrics.
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<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>
A balanced mutual value proposition that leads with the partner's upside, with quantified assumptions.
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<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>
A complete co-marketing plan with timeline, lead-split rules, promo copy, and shared KPIs.
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<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>
A 3-tier partner program framework with entry criteria, benefits, and promotion metrics.
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<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>
A channel-conflict diagnosis with rules of engagement and a partner-facing resolution message.
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<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>
Three viable deal structures compared on risk, upside, and complexity, with a recommendation.
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<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>
A lever-by-lever negotiation plan with trade ranges, counters, and opening-offer language.
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<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>
A plain-English business-risk pass over draft contract terms, with questions for your lawyer.
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<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>
A scenario-based revenue-share model showing each side's economics and your break-even split.
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<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>
A skimmable one-page internal deal memo built to win fast sign-off.
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.
Proposals & Pitches
5 promptsPartnership Proposal Draft
16/30<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>
A full partnership proposal structured to sell on the partner's outcomes, with a clear CTA.
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<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>
A 10-12 slide pitch deck outline with takeaway headlines and the proof point for each slide.
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<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>
An objection-handling playbook with acknowledge-reframe-evidence-advance scripts and stall tests.
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<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>
A post-pitch follow-up email that recaps value and locks a next step, plus a nudge version.
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<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>
A skimmable one-page sell sheet tailored to the partner's industry, with headline variants.
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<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>
A stakeholder map with influence, stance, and per-person next actions to de-risk the account.
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<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>
A QBR agenda and data story that proves value and sets up renewal or expansion.
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<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>
A re-engagement message built around a fresh angle, with a low-friction ask and break-up note.
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<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>
A script for a hard partner conversation that stays direct while protecting the relationship.
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<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>
A lightweight relationship-health scorecard with thresholds, actions, and a copy-ready template.
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<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>
A pipeline hygiene audit that flags miscategorized, stale, and at-risk deals with next actions.
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<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>
A weighted pipeline forecast with commit/best/worst cases and the gap-to-target math.
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<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>
A deal-velocity analysis pinpointing the slowest stage and changes to accelerate it.
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<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>
A quantified pipeline-gap plan that splits the shortfall into prioritized, time-boxed actions.
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<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>
A results-first business development report that translates activity into the metrics leadership cares about.
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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