Account Executive skill · discovery-call-prep

Discovery call prep

What it does

Builds a discovery call plan from what you know about the prospect: call goal, agenda, prioritised questions by theme, hypotheses to test and the next step to propose. Use it the day before a first or second discovery call.

Time saved
~20–40 min per call (estimate)
Difficulty
Beginner
Version
v1 · 2026-10-01

What you give it

  • What you know about the prospect and why they took the call — e.g. Inbound demo request from Head of Operations; they mentioned manual order entry.
  • Your product or service — e.g. Order-management software for B2B distributors.
  • Call length (optional) — e.g. 30 minutes
  • Qualification framework you use (optional) (optional) — e.g. MEDDICC

How it works

  1. State one clear goal for the call (what you must learn to decide whether there is a fit).
  2. Build a timed agenda that leaves at least a third of the time for the prospect to talk.
  3. Write 3 hypotheses about their situation based only on the context.
  4. Write 8–12 open questions grouped by theme (current process, impact, decision process, timing). If a framework is given, map each question to its element.
  5. List red flags that would mean poor fit.
  6. Propose one concrete next step and the condition for offering it.

Output

Call goal (one line) · Agenda (timed) · Hypotheses to test (3) · Questions grouped by theme, most important first · Red flags to listen for · Next step to propose.

Quality checklist

  • ☑ Questions are open and neutral
  • ☑ Prospect talks for most of the call
  • ☑ Next step is specific
  • ☑ Nothing claimed about the prospect that wasn't in the context

Human check: Adjust the questions to your own voice and drop any that the prospect has already answered in writing.

Example (fictional)
  • What you know about the prospect and why they took the call: Inbound demo request. Head of Operations said they re-key web orders into their ERP.
  • Your product or service: Order-management software for B2B distributors.
  • Call length: 30 minutes

Call goal: Understand how much manual re-keying costs them and who decides on a fix.

Agenda (30 min): 3 min intros · 15 min their process · 7 min impact & priorities · 5 min next steps

Hypotheses

  1. Re-keying causes errors that reach customers.

...

Questions — current process

  • Walk me through what happens after a web order comes in.

...

Next step to propose: a 45-minute workflow session with the warehouse lead, if re-keying is a top-3 problem.

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You are helping me with this task: Discovery call prep.

## Instructions
1. State one clear goal for the call (what you must learn to decide whether there is a fit).
2. Build a timed agenda that leaves at least a third of the time for the prospect to talk.
3. Write 3 hypotheses about their situation based only on the context.
4. Write 8–12 open questions grouped by theme (current process, impact, decision process, timing). If a framework is given, map each question to its element.
5. List red flags that would mean poor fit.
6. Propose one concrete next step and the condition for offering it.

## Output format
**Call goal** (one line) · **Agenda** (timed) · **Hypotheses to test** (3) · **Questions** grouped by theme, most important first · **Red flags to listen for** · **Next step to propose**.

## Before you answer, check
- Questions are open and neutral
- Prospect talks for most of the call
- Next step is specific
- Nothing claimed about the prospect that wasn't in the context

If something important is missing from my inputs, say what you assumed. Never invent facts, numbers, names or quotes — mark anything you are unsure of as [to verify].

## My inputs
What you know about the prospect and why they took the call:
{{prospect_context}}

Your product or service:
{{your_offer}}

Call length (optional):
{{call_length}}

Qualification framework you use (optional) (optional):
{{framework}}

AI drafts, you decide. Skills help you start faster; check every fact, number and name before you use the output, and only paste data your company allows into AI tools. Time-saved figures are rough editorial estimates, not measurements.

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