Prompts / HR & Recruiting

ChatGPT prompt for an objection handling policy

This prompt produces an internal policy for responding to common customer or sales objections without making unsupported promises. Use it when teams need consistent responses, boundaries, and escalation paths.

PromptOpen ChatGPTOpen Claude
Create an objection-handling policy for [COMPANY AND OFFER] used by [TEAM AND CHANNEL]. The policy must help staff respond fairly and consistently while following [EXISTING POLICIES AND NON-NEGOTIABLES].

Use these objections and current guidance as source material:
[COMMON OBJECTIONS]
[CURRENT APPROVED MATERIALS]

Write a practical internal policy, 900-1,200 words, with these sections:
1. Purpose, scope, and who may use the policy.
2. Core principles: acknowledge the concern, confirm the relevant facts, state only approved information, avoid pressure, and protect customer choice.
3. A decision process staff can follow from first objection through resolution, including when to pause rather than answer immediately.
4. A table for each common objection with: likely underlying concern, approved response approach, wording staff may use, wording to avoid, evidence or policy that must support the answer, and the escalation owner.
5. Rules for discounts, refunds, privacy, security, competitor comparisons, legal or regulatory claims, accessibility, and requests outside standard terms.
6. Documentation requirements and a short quality-review checklist for managers.

Keep approved wording natural rather than scripted. Do not create prices, guarantees, product capabilities, legal interpretations, customer examples, or exceptions that are not in my inputs. If an objection needs a decision by another team, say that directly and give staff a safe holding response.

Before answering, check that every allowed claim is supported by my materials and flag any conflict between an objection response and an existing policy. Ask up to 3 clarifying questions only if a required input is missing.

Fill in

PlaceholderWhat to enterExample
[COMPANY AND OFFER]Name the company, product or service, and the customer problem it addresses.Northstar HR, a hiring workflow platform for 50-500 person companies.
[TEAM AND CHANNEL]State who will use the policy and where they handle objections.Sales development representatives handling live chat and email.
[EXISTING POLICIES AND NON-NEGOTIABLES]Paste relevant refund, pricing, legal, security, privacy, or brand rules.No unapproved discounts; annual plans are nonrefundable after 30 days; do not make legal compliance claims.
[COMMON OBJECTIONS]List the objections staff hear, ideally with customer wording and frequency.“We already use Greenhouse.” “Your price is too high.” “Can you guarantee faster hiring?”
[CURRENT APPROVED MATERIALS]Paste approved FAQs, product facts, claims, pricing, and escalation contacts.Pricing: $12,000/year starting plan. Integrates with Greenhouse via CSV export. Security FAQ and refund policy attached.

How to use

  1. Paste your rules before asking for response language; pricing and exception rules change the policy materially.
  2. Check each approved response against the source materials, especially claims about security, outcomes, and competitors.
  3. Have the policy owner approve the escalation names and any language that could create a commercial commitment.
  4. Follow up with: “Turn this into a one-page agent decision tree for the three highest-volume objections.”

Variations

Sales talk track

Use when representatives need a short live-call aid rather than a full policy.

Variation
Create a one-page objection-handling talk track for [PRODUCT], used by [SALES ROLE] during [CALL TYPE]. For these objections, [OBJECTIONS], provide: the concern behind it, one discovery question, a 2-3 sentence approved response, proof points supported by [APPROVED FACTS], and a next step. Include a “do not say” note for each objection. Do not invent outcomes, integrations, customer stories, discounts, or contract terms. Flag statements that require legal, security, or pricing approval. Ask up to 3 questions only if a required input is missing.

Refund objections

Use when support needs consistent responses to cancellation and refund requests.

Variation
Write a support policy for refund and cancellation objections for [PRODUCT] under [REFUND TERMS]. Use [COMMON CUSTOMER REQUESTS] and [ESCALATION RULES]. Produce a decision table with eligibility checks, empathetic response language, evidence to record, exceptions staff cannot approve, and handoff instructions. Distinguish a refund request from a charge dispute, billing error, and service complaint. Do not promise refunds or credits outside the stated terms. Check that every action matches the supplied policy, and ask up to 3 questions only if needed inputs are absent.

Manager QA rubric

Use when managers need to audit how agents handled objections.

Variation
Build a manager scorecard for reviewing [CHANNEL] objection-handling interactions at [COMPANY]. Base it on [POLICY RULES] and [QUALITY GOALS]. Include 8-12 scored criteria, clear pass/fail definitions, critical-error triggers, coaching comments, and a weekly calibration process. Score factual accuracy, acknowledgment, discovery, approval boundaries, documentation, escalation, and customer choice separately. Do not create policy requirements not supplied. Check that critical errors are tied to actual policy risks. Ask up to 3 questions only if required inputs are missing.

Tips

  • Separate an objection from its underlying concern; “too expensive” may be a budget, value-proof, procurement, or timing issue.
  • Put prohibited promises beside approved wording so staff do not treat a helpful example as permission to negotiate.
  • Require a source for claims about results, security, integrations, and competitors; these are the claims most likely to drift.
  • Review a sample of real conversations monthly and add only recurring, well-defined objections to the policy.

FAQ

Should an objection-handling policy include exact scripts?

Include short approved examples, but pair them with the underlying concern and a decision rule. Exact scripts alone break down when the customer’s situation differs.

How do we handle objections that require legal or security input?

Give staff a holding response, specify what facts to collect, and name the escalation owner. Do not let agents interpret contracts, compliance, or security controls.

Can AI write the final policy without review?

It can organize the policy and draft language, but the policy owner should verify all commitments, pricing rules, and regulated claims before use.

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