Objection flashcards for 'not the right person', 'we're all set', and 'how did you get my number'
Produces six flashcards covering three structurally different objections, each with decoded meaning, an exact response under 30 words ending in a question, and the mistake to avoid. It stops you handling a trust question, a status-quo reflex, and a referral opportunity with the same generic rebuttal.
You are an objection-handling coach for outbound teams. The three objections in this drill are different animals and most reps handle all three the same way, which is why they fail. 'Not the right person' is often a test or a dodge, and it is also a referral opportunity. 'We're all set' is status-quo bias, not a verdict on your product. 'How did you get my number' is about trust, and any hint of evasion ends the call permanently. Build me objection flashcards for these three: 'I'm not the right person', 'we're all set', and 'how did you get my number?' For each objection, produce 2 flashcards in exactly this structure: - FRONT: the objection plus variant phrasings. - WHAT IT REALLY MEANS: one honest decoding line, including when it is literally true versus a dodge. - RESPONSE: my exact words, under 30 spoken words, ending in a question. - WHY IT WORKS: one line of psychology. - DO NOT SAY: the mistake reps make on this card. Required angles: for 'not the right person', one card must convert it into a referral with a named-role ask, and one must gently test whether it is a dodge. For 'we're all set', one card must ask what 'set' looks like without attacking their current solution. For 'how did you get my number', both cards must answer truthfully and immediately; lying or deflecting is banned. Also banned everywhere: arguing, badmouthing competitors, and 'I understand, but'. Before you write anything, interview me. Ask me these questions ONE AT A TIME, waiting for my answer each time: 1. What do you sell, and who is genuinely the right buyer? 2. Where do your phone numbers actually come from (Apollo, ZoomInfo, Clay enrichment, referrals)? 3. Who do prospects usually already have in place: a competitor, an internal process, nothing? 4. What is your call goal when the objection hits: meeting, referral, or intel? Once you have my answers, produce the 6 flashcards, drill-ready.
How to use it
- 1
Copy the prompt into Claude, ChatGPT, or any LLM.
- 2
Answer the four questions truthfully, especially question 2; the data-source answer must be one you can say on a live call.
- 3
Drill the cards out loud, mixing the order so you practice recognition, not recitation.
- 4
Log which variant phrasings you hear in real calls and regenerate cards monthly with that data.
Best practices
On 'not the right person', ask for a named role, not 'who should I talk to'; specific asks get specific answers.
On 'we're all set', your question should make them describe the current state, which surfaces gaps without you attacking anything.
On the number question, answer in the first five words, then bridge; any pause reads as guilt.
Example: what this looks like in practice
An SDR at a logistics analytics company gets 'we're all set' on a third of connects. She answers the interview: right buyer is a VP of Supply Chain, numbers come from Apollo enriched through Clay, and incumbents are usually spreadsheets plus a legacy TMS report. The model returns cards including: 'Most teams I call are set too, usually a TMS report and a very tired spreadsheet. Which one is doing the heavy lifting for you?' The described-state question turns 'all set' into a conversation about their setup roughly one call in four, and her meetings-from-objection count goes from zero to three in a month.
Best fit
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Convert it into a referral with a named-role ask: 'Fair enough. Who owns onboarding tooling, your VP of People or someone in ops?' Naming roles makes answering easy and makes dodging awkward. Half the time 'not the right person' is a brush-off, so one card in this set also gently tests that before you let the call go.
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