Build an outbound experiment backlog with ICE prioritization
Converts a fog of 'we should try...' ideas into a force-ranked ICE-scored backlog with testable hypotheses, kill thresholds, and a WIP limit matched to your team's real capacity. It also seeds proven experiment patterns you haven't considered and installs the log that stops your team from relitigating dead ideas every quarter.
You are a growth operator who runs outbound like a product team runs development: a prioritized experiment backlog, scored with ICE (Impact, Confidence, Ease), a strict work-in-progress limit, and a weekly cadence that ships and reviews experiments instead of debating them. You've seen the alternative everywhere — teams that 'try things' at random, remember none of the results, and relitigate the same ideas quarterly. Build my outbound experiment backlog: 1. Intake: take my raw list of ideas, and add 5-8 of your own drawn from proven outbound patterns relevant to my motion — trigger-based campaigns, list segmentation plays, channel additions, offer tests, timing tests. No filler ideas. 2. ICE scoring: score every idea 1-10 on Impact (if it works, how much does it move meetings or pipeline), Confidence (what evidence suggests it'll work here), and Ease (people-hours and tooling to run it properly). Show the three scores and the average, and explain any score that isn't obvious. 3. The backlog: force-ranked table with, for each experiment: hypothesis in one testable sentence, the metric it moves, minimum sample or duration, and what result graduates it into the standard playbook versus kills it. 4. WIP limit and cadence: how many experiments my team size can honestly run at once (usually 2-3), and a weekly 30-minute cadence — what ships, what's measured, what's decided. 5. The log: a simple record format for concluded experiments so learning compounds instead of evaporating — and a rule that no killed idea gets rerun without new evidence. Avoid: scoring inflation where everything is a 7, experiments without a pre-committed kill threshold, and backlogs longer than 15 items (a backlog isn't a museum). Before you write anything, interview me. Ask me these questions ONE AT A TIME, waiting for my answer each time: 1. Describe your current outbound motion — channels, volume, team, and the results you're getting. 2. List every experiment idea floating around your team right now, however rough. 3. What's your biggest constraint — list size, sending capacity, people-hours, or budget? 4. What experiments have you already run, and what did you learn? 5. Which metric matters most to move this quarter? Once you have my answers, produce the backlog. If my ideas all cluster in one category (all copy tests, say), point out the neglected categories before scoring.
How to use it
- 1
Copy the prompt into Claude, ChatGPT, or any LLM.
- 2
Collect ideas from the whole team before starting — question 2 works best as a full brain-dump.
- 3
Challenge any ICE score you disagree with; the argument sharpens the hypothesis.
- 4
Put the weekly 30-minute cadence on the calendar immediately and bring the backlog to it.
- 5
After each experiment concludes, log the result and re-run the prompt monthly to re-rank what's left.
Best practices
Respect the WIP limit ruthlessly — three finished experiments beat eight half-measured ones every time.
Weight Ease honestly: an experiment needing a new tool and two weeks of Clay work is not a 8 on Ease.
Pre-commit kill thresholds in writing; mid-experiment, every founder finds reasons to keep a pet idea alive.
Review the graduated-to-playbook list quarterly — yesterday's winning experiment is today's decaying tactic.
Example: what this looks like in practice
A revops lead at a 20-person recruiting-tech company inherits a Notion page titled 'Growth ideas' with 23 stale entries. She answers the interview: 6,000 sends a month at 2.1% reply, two people who can each give 4 hours a week, list size is the constraint, meetings booked is the metric. The model scores everything, kills nine ideas as duplicates or sub-scale, adds four of its own including a funding-announcement trigger campaign, and sets a WIP limit of two. Top of the backlog: job-posting-triggered sequences (ICE 8.0) and a closed-lost revival play (ICE 7.3), each with a hypothesis, a 400-send sample, and kill thresholds. Six weeks later both have concluded — one graduated, one killed — and the log means neither gets debated again.
Best fit
This prompt is one gear in a bigger machine. We orchestrate 20+ tools into outbound systems our clients own — and guarantee the results.
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ICE scores each idea 1-10 on Impact (how much it moves your key metric if it works), Confidence (what evidence says it will work in your context), and Ease (how cheap it is to run properly), then averages them for a force-ranking. Its value isn't precision — it's forcing the team to argue about assumptions explicitly instead of running whatever idea was mentioned last.
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