The Revenue AI Report

LinkedIn Poll Ideas

CreateSales

Ten LinkedIn poll ideas for your industry, each with three answer options, to start conversations with buyers. Adapted from Daniel Disney.

This is the skill file version. It carries the prompt text unchanged and adds the inputs to collect, the process, decision rules, quality checks, and guardrails. The one-off prompt lives on its prompt page.

The file

---
name: ai-generated-linkedin-poll-ideas-for-industry-engagement
description: >-
  Ten LinkedIn poll ideas for your industry, each with three answer options, to start conversations with buyers. Adapted from Daniel Disney.
  Task type: Create. Built for Sales.
  Use when the request sounds like "LinkedIn Poll Ideas".
  Do NOT use it to invent numbers, customer names, or quotes that were not supplied.
license: MIT
metadata:
  author: The Revenue AI Report
  suite: Outbound and Prospecting
  version: "1.0"
  source: https://www.therevenueaireport.com/prompts/ai-generated-linkedin-poll-ideas-for-industry-engagement
---

# LinkedIn Poll Ideas

Ten LinkedIn poll ideas for your industry, each with three answer options, to start conversations with buyers. Adapted from Daniel Disney.

One job only: ten LinkedIn poll ideas for your industry, each with three answer options, to start conversations with buyers. Anything outside that job belongs in another file in the Outbound and Prospecting suite.

## When to use this skill

- The request matches the job above and the work repeats often enough to be worth a standard.
- You have, or can ask for, the inputs listed below.
- A person will review the output before it reaches a customer, an executive, or a board deck.

## When not to use it

- The answer needs a number, a benchmark, or a quote nobody supplied. Ask for it instead of producing one.
- The task is a different job in the same suite. Open that file rather than stretching this one.
- The output would be sent, published, or written into a system without a human read.

## Inputs to collect first

- industry

Ask for anything missing before running. Do not fill a gap with a plausible guess.

## Process

1. Confirm the job, the audience, and the decision the output feeds.
2. Collect the inputs above. Name anything still missing out loud.
3. Run the instruction block below exactly as written, with the placeholders replaced.
4. Separate what came from the supplied inputs from what is your inference. Label the inference.
5. Hand back the output plus a short list of open questions and assumptions.

## Instruction block

Run this text with the placeholders filled in.

```text
Your task is to come up with 10 industry-relevant LinkedIn poll ideas that will ask thought-provoking questions with 3 voting options for each one. The poll ideas should be relevant to the {$INDUSTRY} industry.

Each poll idea should meet the following requirements:

1. Be relevant and applicable to professionals working in the {$INDUSTRY} industry.
2. Ask a thought-provoking question that encourages discussion and different perspectives.
3. Provide 3 distinct voting options as potential answers to the question.

For each poll idea, format it as follows within <Poll Idea></Poll Idea> tags:

<Poll Idea>
Question: [Write the thought-provoking question here]
Option 1: [Option 1 for the poll]
Option 2: [Option 2 for the poll]
Option 3: [Option 3 for the poll]
</Poll Idea>

Make sure all 10 poll ideas follow this format and meet the requirements of being industry-relevant, thought-provoking, and having 3 voting options.

Begin with the first poll idea inside <Poll Idea 1></Poll Idea 1> tags, then continue with the remaining 9 poll ideas numbered sequentially.
```

## Decision rules

- Supplied evidence beats inference. If the two disagree, say so and keep the evidence.
- Unknown is a valid answer. Write "unknown" rather than estimating.
- Keep one recommendation per output. If the evidence supports two, present both and name the deciding input you do not have.
- Match the reading level of a working operator. Short sentences. Explain any term the reader may not use daily.

## Quality checks

- Every number, name, date, and quote traces to an input the user supplied.
- No vendor claim is repeated as fact without naming the source.
- Assumptions are listed separately from findings.
- The output answers the original request and nothing else.
- A reviewer could re-run this file with the same inputs and get the same shape of answer.

## Guardrails

- Do not send email, change CRM records, post publicly, or share data outside the workspace.
- Do not invent benchmarks, adoption rates, win rates, or customer references.
- Flag anything that needs a human decision instead of deciding it.

## Source

- Prompt page: https://www.therevenueaireport.com/prompts/ai-generated-linkedin-poll-ideas-for-industry-engagement
- Suite: https://www.therevenueaireport.com/agent-skills/suites/outbound-and-prospecting
- Publication: The Revenue AI Report, https://www.therevenueaireport.com

Install this skill

  1. For Claude Code, copy the command below into your terminal. It creates the skill folder and saves the file as SKILL.md.
  2. For another assistant that supports skills, download the file above and place it in a folder named ai-generated-linkedin-poll-ideas-for-industry-engagement inside that assistant's skills directory.
  3. Start a new conversation and ask for the job named on this page. Review the result before using it.

For the supporting files, download the full Outbound and Prospecting package too. The single-file command only installs SKILL.md.

mkdir -p "$HOME/.claude/skills/ai-generated-linkedin-poll-ideas-for-industry-engagement" && curl -fL "https://www.therevenueaireport.com/agent-skills/prompt/ai-generated-linkedin-poll-ideas-for-industry-engagement/SKILL.md" -o "$HOME/.claude/skills/ai-generated-linkedin-poll-ideas-for-industry-engagement/SKILL.md"

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