Written by Susan Miller*

Scripts that Stick: Tell Me About a Deal You Worked On—Example Answer with Confidentiality-Safe Impact

Struggling to answer “Tell me about a deal you worked on” without oversharing—or underselling your impact? In this lesson, you’ll build a tight, four-part script that showcases context, your role, valuation logic, and risks/outcomes using confidentiality-safe ranges and sector-ready TMT metrics. Expect banker-grade breakdowns, a model answer deconstructed, fill-in templates, real examples, and drills (MCQs, blanks, error fixes) to pressure-test your delivery. Finish with a 3-minute script, a 30-second TL;DR, and a 10-second spike you can deploy under Superday pressure.

Deconstructing the Model Answer (What Good Sounds Like)

A strong, confidentiality-safe answer to “Tell me about a deal you worked on” does three things at once: it organizes information into a familiar structure, foregrounds your personal impact, and carefully avoids sensitive specifics. To make this concrete, think of a well-constructed answer as moving cleanly through four parts—Context → Role & Process → Analysis & Valuation → Risks & Outcome—while using sector-appropriate language and quantifying your contribution with defensible, non-sensitive numbers.

First, the Context section sets the stage without disclosing proprietary details. You identify the deal type (e.g., sell-side M&A, buy-side M&A, minority growth investment, carve-out, LBO financing), the sector (e.g., TMT—software, digital media, communications), and the strategic rationale using public or generalized facts. Confidentiality-safe phrasing replaces exact figures and names with ranges and descriptors. For instance, rather than naming the target and stating revenue to the dollar, you might say “PE-backed vertical SaaS provider in the lower mid-market with ARR in the high eight figures.” This approach keeps the audience oriented while protecting client information.

Next, move to Role & Process, where you clarify what you directly owned and how you moved the process forward. This is your spotlight: instead of reciting a generic timeline, identify 2–3 responsibilities that demonstrate leverage and judgment—owning model workstreams, shaping the story in the information memorandum, pre-wiring diligence angles with legal or tax advisors, or coordinating management prep for key customer calls. Use TMT-specific phrasing where relevant—mentioning metrics like ARR, NRR, churn, CAC payback, MAUs, ARPU, or cohort retention—so an interviewer hears that you think in the language of the sector. Be concrete about actions without naming confidential internal tools or unpublished KPIs.

Then, in Analysis & Valuation, articulate the logic behind the numbers, not the confidential numbers themselves. Anchor your narrative in what you analyzed and why it mattered: triangulating valuation using public comps and precedent ranges, conducting sensitivity analyses on churn and net dollar retention, or segmenting unit economics by customer cohort. Quantify your impact using deltas (what changed due to your work), ranges (e.g., 9–11x ARR), and defensible proxies (public comp ranges, disclosed KPIs from filings, or industry benchmarks). In TMT, you might note how a retention uplift or expansion motion supported a more resilient revenue quality assessment, which in turn supported the multiple the buyer would accept. The emphasis is on how your analysis sharpened the client’s decision-making—again, without revealing confidential internals.

Finally, close with Risks & Outcome. A sophisticated answer acknowledges the key risks you surfaced and how you mitigated them—customer concentration, churn tail risk post-price increases, integration friction in a roll-up, or regulatory exposure for certain data-sharing models. Then state the result at a safe level of precision: whether the deal closed, moved to exclusivity, repriced within a range, or was paused for disciplined reasons. Tie your personal actions to that outcome through credible cause-and-effect language: “My revised churn sensitivities reframed the valuation range, which the client used to negotiate an earn-out structure.” This shows executive maturity and a balanced view of risk.

Throughout, “what good sounds like” is marked by crisp, factual sentences, verbs of impact (synthesized, led, pressure-tested, de-risked, reframed), and careful quantification. For TMT, hearing ARR, NRR, gross retention, logo churn, CAC payback, and cohort curves signals fluency; using ranges, relative changes, and public analogs signals confidentiality competence. Your voice should be persuasive but restrained—analytical, not promotional. This is the model: structured, sector-literate, impact-forward, and privacy-aware.

For compression, a 30-second TL;DR strips the story to its essential arc using the same four-part rhythm—deal type and sector, your lead responsibilities, the key analytic lever that changed the valuation conversation, and a safe summary of the outcome. A 10-second “spike” highlights one standout element—an especially thorny risk you resolved, a metric you reframed, or a relationship you orchestrated. Both short forms should be consistent with the longer narrative and use the same confidentiality-safe habits.

Teaching the Framework and Prompts

The four-part script is a repeatable scaffold you can adapt for any deal while protecting sensitive information. The aim is to build muscle memory so you never ramble, overshare, or undersell your role.

  • Context

    • Purpose: Orient the listener quickly to the deal type, sector, and strategic rationale. Keep it general but informative.
    • Sentence starters:
    • “I worked on a [sell-side/buy-side] [M&A/LBO/growth equity] in [sector], focusing on a [business model] with [scale descriptor].”
    • “The strategic rationale was [consolidation/scale to expand TAM/product adjacency/vertical expansion/monetization of engaged user base].”
    • Confidentiality guardrails: Do not name private companies unless public or approved; use ranges for size; avoid client-specific KPIs not publicly disclosed.
  • Role & Process

    • Purpose: Demonstrate your ownership and execution capability.
    • Sentence starters:
    • “I owned the [workstream/model/IM section/diligence tracker], coordinating across [internal team/advisors/management].”
    • “I structured the [diligence path/management discussion guide] to surface [key metric/risk] early.”
    • Confidentiality guardrails: Describe actions generically; avoid internal tool names, unannounced initiatives, or specific boardroom dynamics.
  • Analysis & Valuation

    • Purpose: Show how your analysis shaped valuation and decision-making.
    • Sentence starters:
    • “I triangulated valuation using [public comps/precedents/Dcf where appropriate], framing a range of [X–Y multiple] based on [ARR/EBITDA/ARPU].”
    • “I pressure-tested [churn/NRR/CAC payback/cohort retention] and ran sensitivities that shifted the range by [relative delta].”
    • Quantification tactics:
    • Use ranges and relative changes (e.g., “tightened the range by ~1 turn,” “improved confidence interval by ~15%”).
    • Tie outcomes to publicly observable proxies: published comp multiples, disclosed benchmarks, or industry reports.
    • Attribute impact with causality: “which supported,” “which enabled,” “which underwrote.”
    • Confidentiality guardrails: Avoid absolute, non-public numbers; do not share customer names, contract terms, or unpublished metrics.
  • Risks & Outcome

    • Purpose: Demonstrate judgment and closure.
    • Sentence starters:
    • “Key risks were [customer concentration/data privacy/integration dependencies/usage volatility], so I [mitigated by X].”
    • “Outcome: the deal [reached exclusivity/closed/repriced/was deferred] with [structure adjustment/limited indemnities], consistent with our revised range.”
    • Confidentiality guardrails: Report outcomes at a high level; avoid specific pricing, earn-out thresholds, or confidential negotiation details.

Do/don’t guardrails help you avoid common pitfalls:

  • Do

    • Use public comps and precedent ranges to ground valuation.
    • Translate your work into measurable deltas (range narrowed, diligence brought forward, risks mitigated).
    • Mention TMT-relevant metrics to show sector fluency (ARR, NRR, churn, MAUs, ARPU, engagement cohorts, CAC payback).
    • Keep names generic unless publicly disclosed or explicit permission exists.
  • Don’t

    • Disclose client names, exact revenue, margins, pipeline, customer lists, or contract terms if non-public.
    • Share boardroom quotes, proprietary models, or unpublished KPI targets.
    • Over-index on process trivia; keep the lens on impact.

Guided Practice with Fill-in Scaffolds

To convert a raw draft into a confidentiality-safe, impact-forward version, use a simple fill-in template and a transformation checklist. The template enforces the four-part flow and keeps numbers within safe bounds.

  • Template

    • Context: “I worked on a [deal type] in [sector], advising a [company descriptor] with [scale descriptor]. The strategic rationale was [rationale].”
    • Role & Process: “I owned [workstream] and coordinated [stakeholders]. I [specific action] to surface [key metric/risk] early and shaped [document/analysis] to clarify [thesis].”
    • Analysis & Valuation: “I triangulated valuation using [methods], anchored to [metric], yielding a range of [X–Y] based on [public comps/precedents]. I ran sensitivities on [drivers], which shifted the range by [relative delta] and informed [negotiation/structure].”
    • Risks & Outcome: “We identified [top risks] and I [mitigation steps]. Outcome: the deal [status] with [high-level structure], aligned with the revised range.”
  • Transformation checklist

    • Confidentiality: Replace exact figures and names with ranges and descriptors; remove unpublished KPIs; cite public proxies where possible.
    • Impact clarity: Swap process verbs (“helped,” “supported”) for impact verbs (“led,” “synthesized,” “pressure-tested,” “reframed”).
    • Quantification: Insert relative deltas, narrowed ranges, or risk reductions that credibly resulted from your work.
    • Sector fluency: Add TMT terms relevant to the business model—SaaS metrics (ARR, NRR, churn, gross margin, CAC payback), platform metrics (MAUs, DAUs, ARPU, engagement), and commercialization levers (pricing, packaging, upsell).
    • Coherence: Ensure each sentence ladders to a thesis—why the company is attractive at a certain range and how your work defended or adjusted that thesis.
    • Read-aloud test: Time your delivery; aim for crisp, declarative sentences that fit within three minutes.

Common follow-ups to anticipate—and preempt—in your drafted answer include:

  • “How did you select the comp set?” Be ready to explain inclusion criteria (business model, growth, margin profile, retention quality) and how outliers were handled.
  • “Why that valuation metric?” Justify ARR vs. EBITDA vs. revenue based on growth, margin, and revenue quality. In TMT, explain when revenue multiples are appropriate and when profitability anchors matter.
  • “What were the key sensitivity drivers?” Point to churn, NRR, price realization, CAC payback, and cohort decay—explain how you sized their impact on the valuation range.
  • “How did you quantify risk?” Reference concentration indices, scenario weights, and structure (e.g., earn-outs) rather than revealing specifics.

Preparing these answers in advance strengthens your main narrative and ensures you can safely go a level deeper without crossing confidentiality lines.

Performance and Feedback Loop

Turn the script into skill through structured rehearsal and feedback. A simple routine embeds clarity, cadence, and compliance.

  • Timed 3-minute rehearsal

    • Structure: Allocate roughly 30–40 seconds for Context, 60–75 seconds for Role & Process, 60–75 seconds for Analysis & Valuation, and 30–40 seconds for Risks & Outcome.
    • Delivery: Use short, assertive sentences. Pause between sections. Signal transitions: “Stepping into my role…,” “On valuation…,” “On risks and outcome….”
    • Precision: Keep numbers as ranges, deltas, and public proxies. If you catch yourself quoting an exact non-public number, immediately generalize: “to be precise—within a high single-digit percentage.”
  • Rubric for self-evaluation

    • Clarity: Did each section have a crisp headline idea? Would a non-specialist understand the arc?
    • Structure: Did you follow Context → Role & Process → Analysis & Valuation → Risks & Outcome without detours?
    • Impact quantification: Did you express at least 2–3 measurable deltas you drove? Did these deltas plausibly influence valuation, diligence sequencing, or structure?
    • Confidentiality compliance: Did you avoid naming clients and revealing non-public figures? Are all numbers ranges, relative changes, or public proxies?
    • Sector fluency: Did you use the right TMT metrics and language, and did you apply them accurately to the business model?
    • Concision: Did you finish within three minutes without rushing? Are sentences tight and free of filler?
  • Compression into a 30-second TL;DR

    • Extract one sentence per section and compress further until you can deliver a clean, four-line arc: deal type and sector; your ownership; the analytic lever that moved the needle; the outcome at a safe precision level.
    • Check coherence: The short form must match the longer narrative; avoid introducing new terms or numbers.
  • 10-second spike statements

    • Choose one high-impact highlight that stands on its own—e.g., “I reframed valuation by tying NRR cohorts to multiple expansion, which tightened the range and supported an earn-out.”
    • Keep it punchy, metrics-aware, and confidentiality-safe; no names, no exacts.
  • Self-assessment questions

    • “What is my single clearest contribution, expressed in a delta?”
    • “Which TMT metric did I use to change the conversation, and why was it the right metric?”
    • “Can I justify my comp set and valuation metric choice in one sentence?”
    • “Where might I accidentally over-disclose? How will I generalize that detail on the fly?”
    • “What is my spike—what do I want the interviewer to remember 10 minutes later?”
  • Next steps

    • Record two takes: one full 3-minute answer and one 30-second TL;DR. Review against the rubric and annotate where you can convert specifics into safe ranges or proxies.
    • Build a personal library of sector phrasing—ARR/NRR vocabulary for SaaS, MAUs/ARPU and cohort curves for consumer platforms, unit economics for marketplaces. Practice swapping these into the template depending on the deal.
    • Rehearse follow-up answers that stay within guardrails. For each likely probe, write a safe, public-anchored response with one defensible proxy.

By internalizing this framework, you create a dependable, repeatable script that showcases judgment and impact while protecting client trust. The goal is not theatrical storytelling but disciplined, analytical communication. In three minutes, you will signal that you understand the deal’s logic, that you can quantify your influence on valuation and risk, and that you operate with the discretion expected in investment banking—especially in TMT, where data-rich stories tempt over-disclosure. The TL;DR and spike statements are simply compact versions of the same disciplined narrative. When your answers consistently hit those marks, you sound like the safest, clearest, and most effective person in the room.

  • Structure your answer in four parts—Context → Role & Process → Analysis & Valuation → Risks & Outcome—using crisp, sector-literate language.
  • Protect confidentiality: use descriptors and ranges (not names or exact nonpublic numbers) and anchor claims to public comps, precedents, and defensible proxies.
  • Demonstrate impact with measurable deltas and causality: show how your analysis (e.g., ARR/NRR, churn, CAC payback sensitivities) narrowed ranges, reframed valuation, or informed structure.
  • Close by naming key risks and mitigation, then state the outcome at a safe precision level, explicitly linking your actions to the result.

Example Sentences

  • I worked on a sell-side M&A in software, advising a PE-backed vertical SaaS provider with ARR in the high eight figures; the rationale was consolidating a fragmented niche.
  • I owned the operating model and diligence tracker, coordinated with tax and legal, and prewired a conversation on logo churn to de-risk valuation.
  • I triangulated valuation using public SaaS comps and precedents, framing a 9–11x ARR range and running churn/NRR sensitivities that narrowed the band by about one turn.
  • Key risks were customer concentration and price-increase fatigue, so I segmented cohorts, sized expansion vs. contraction, and proposed an earn-out tied to NRR.
  • Outcome: we moved to exclusivity and repriced within our revised range, with my retention analysis underwriting the multiple and structure.

Example Dialogue

Alex: Tell me about a deal you worked on.

Ben: Context—sell-side M&A in TMT: a lower mid-market SaaS with ARR in the high eight figures; the thesis was scale via consolidation.

Alex: What did you personally own?

Ben: I led the model and IM storyline, coordinated advisors, and brought forward a churn/NRR deep dive so we could address revenue quality early.

Alex: And on valuation?

Ben: I triangulated using public comps and precedents to 9–11x ARR, pressure-tested churn and CAC payback, and tightened the range by roughly one turn, which supported an earn-out.

Alex: How did it end?

Ben: We reached exclusivity and adjusted price within the range; my cohort work reframed the risk and gave the buyer confidence without sharing any nonpublic specifics.

Exercises

Multiple Choice

1. Which opening best follows the Context guidance while staying confidentiality-safe?

  • I advised AcmeSoft, which had exactly $87.4M ARR, on a sell-side SaaS deal.
  • I worked on a sell-side M&A in TMT, advising a PE-backed vertical SaaS provider with ARR in the high eight figures; the rationale was niche consolidation.
  • I worked on an M&A deal for a software firm; details are confidential.
Show Answer & Explanation

Correct Answer: I worked on a sell-side M&A in TMT, advising a PE-backed vertical SaaS provider with ARR in the high eight figures; the rationale was niche consolidation.

Explanation: This option names deal type, sector, company descriptor, scale via a range, and strategic rationale—aligned with Context and confidentiality guardrails.

2. Which statement best demonstrates Analysis & Valuation per the framework?

  • I built a model but can’t share numbers.
  • I triangulated valuation using public SaaS comps and precedents, framing a 9–11x ARR range and running NRR/churn sensitivities that tightened the band by ~1 turn.
  • We thought the company was valuable based on our experience.
Show Answer & Explanation

Correct Answer: I triangulated valuation using public SaaS comps and precedents, framing a 9–11x ARR range and running NRR/churn sensitivities that tightened the band by ~1 turn.

Explanation: It cites methods, uses a multiple range, references sector metrics (ARR, NRR, churn), and quantifies impact via a relative delta—exactly per Analysis & Valuation guidance.

Fill in the Blanks

Context: “I worked on a [deal type] in [sector], advising a [company descriptor] with ___; the rationale was consolidation of a fragmented niche.”

Show Answer & Explanation

Correct Answer: ARR in the high eight figures

Explanation: Using a scale descriptor as a safe range (e.g., “ARR in the high eight figures”) follows confidentiality guardrails while orienting the listener.

Risks & Outcome: “Key risks were customer concentration and price-increase fatigue, so I proposed an ___ tied to NRR; outcome: we moved to exclusivity within the revised range.”

Show Answer & Explanation

Correct Answer: earn-out

Explanation: An earn-out linked to NRR is a structure that mitigates retention risk and aligns with the framework’s advice to tie risks to valuation/structure without revealing specifics.

Error Correction

Incorrect: I named the client and shared their exact ARR to show credibility.

Show Correction & Explanation

Correct Sentence: I used a generic descriptor for the client and provided ARR as a safe range to protect confidentiality.

Explanation: The framework prohibits disclosing client names and exact nonpublic figures; use descriptors and ranges instead.

Incorrect: I helped with the process and mentioned some tasks I did here and there.

Show Correction & Explanation

Correct Sentence: I led the model and diligence tracker, coordinated advisors, and prewired a churn/NRR deep dive to de-risk valuation.

Explanation: Replace vague, low-impact verbs with impact verbs and specify owned workstreams and sector-relevant metrics, per Role & Process guidance.