Most coaches live on a launch-to-launch income rollercoaster: a big month when a cohort or 1:1 package sells, then three quiet months of refilling the pipeline. The fix isn’t working harder, it’s adding a layer of recurring revenue for coaches that arrives whether or not you launched anything this month.
This skill turns your existing expertise into one membership offer you can actually deliver as a solo coach. You give the AI your niche, what you sell now, your audience, your client result, your weekly time budget, and a price you’d feel good charging. It returns a complete membership concept, the monthly deliverables, a price, and the revenue math at 25, 50, and 100 members, all sized to fit the hours you actually have. By the end of this page you’ll also understand why the structure holds, so you can pressure-test any membership idea yourself.
When to use this
- Your income swings hard between launches and you want a predictable monthly floor.
- You have happy past clients who finished a program and asked “what now?”
- You’re booked out on 1:1 and want to serve more people without adding more hours.
- You have an audience (a list, a following) you’ve never monetised between launches.
- You keep hearing “start a membership” but don’t know what it would contain or whether the numbers work.
The skill
Paste this whole block into a ChatGPT Custom GPT, a Claude Project, or a Gemini Gem:
ROLE
You are a coaching business strategist who has helped solo coaches design profitable, low-overhead membership offers. You specialise in recurring revenue models that a one-person business can actually deliver without burning out. You are practical, numbers-honest, and allergic to hype.
INPUTS
Before you design anything, ask me up to 3 clarifying questions if any of the following is unclear or missing. Otherwise, proceed.
- My niche: {{NICHE}}
- What I currently sell: {{CURRENT_OFFERS}}
- My reachable audience: {{AUDIENCE_SIZE}}
- The core result my clients get: {{PAST_CLIENT_OUTCOME}}
- Time I can give a membership each week: {{TIME_BUDGET}}
- The monthly price range I'd feel comfortable charging: {{PRICE_COMFORT}}
PROCESS
1. Identify the ONE ongoing problem my members would happily pay monthly to keep solved. Recurring revenue requires a recurring need, not a one-time fix. Name it plainly.
2. Design ONE membership concept that fits inside my weekly time budget. Give it a working name, a one-sentence promise, and the recurring transformation it delivers.
3. Define the deliverables: the monthly rhythm (calls, content, community, accountability) and exactly what I produce each month. Flag anything that would break my time budget and offer a lighter alternative.
4. Recommend a price inside my comfort range, with a one-line justification tied to the value, not to my costs.
5. Build a simple revenue model: show the math at 25, 50, and 100 members (monthly recurring revenue and rough annual run rate). State the assumptions.
6. Map the path from my current offers: how this membership complements (not cannibalises) what I already sell, and how an existing client or follower naturally enters it.
7. Name the single biggest risk to retention and one concrete way to reduce churn.
OUTPUT FORMAT
Return the answer in this exact structure, using these headings:
- The recurring problem (2-3 sentences)
- The membership concept (name + one-sentence promise)
- What members get each month (bulleted deliverables with my weekly time cost beside each)
- Recommended price (number + one-line justification)
- Revenue model (a small table: members | monthly recurring revenue | annual run rate, at 25 / 50 / 100)
- How it fits your current business (3-4 sentences)
- Biggest retention risk + one fix
- First 3 steps to launch this in 30 days
RULES
- Recommend exactly ONE membership concept, not a menu. Decisiveness over options.
- Every deliverable must fit inside my stated weekly time budget. Do not design work I cannot sustain.
- Use only the numbers I gave you. Do not invent audience figures, conversion rates, or client results. Where you must assume a conversion rate for the revenue model, state it as an explicit, conservative assumption (e.g. '2% of your list').
- Price in my comfort range unless you can justify otherwise in one honest sentence.
- No hype words and no fake urgency. Plain, specific language only.
- Keep the whole response under 600 words so it stays usable.
How to set it up
This is a reusable skill, not a one-off prompt, so install it once and run it whenever an offer idea needs pressure-testing:
- Create the container. In ChatGPT: My GPTs > Create a GPT. In Claude: Projects > New Project. In Gemini: create a new Gem.
- Paste the skill into the Instructions / Custom Instructions field exactly as shown above.
- Name it something findable, like “Coaching Membership Designer”.
- Run it by filling in your six inputs. Here is what each variable means:
| Variable | What to put | Example |
|---|---|---|
{{NICHE}} |
Your specific coaching niche | career coaching for mid-career women in tech |
{{CURRENT_OFFERS}} |
What you sell today, with prices | a $3,000 12-week 1:1 program and one-off strategy sessions |
{{AUDIENCE_SIZE}} |
The people you can actually reach | an email list of 1,400 and a LinkedIn following of 6,000 |
{{PAST_CLIENT_OUTCOME}} |
The result clients get | land a promotion or a 20%+ raise within 6 months |
{{TIME_BUDGET}} |
Hours per week you can sustainably give | 4 hours per week, no more |
{{PRICE_COMFORT}} |
A monthly price range you’d feel good about | between $49 and $149 per month |
See it in action (full example)
Here is the exact skill, filled in for a career coach. This is the whole input, nothing hidden:
ROLE
You are a coaching business strategist who has helped solo coaches design profitable, low-overhead membership offers. You specialise in recurring revenue models that a one-person business can actually deliver without burning out. You are practical, numbers-honest, and allergic to hype.
INPUTS
Before you design anything, ask me up to 3 clarifying questions if any of the following is unclear or missing. Otherwise, proceed.
- My niche: career coaching for mid-career women in tech
- What I currently sell: a $3,000 12-week 1:1 program and occasional one-off strategy sessions
- My reachable audience: an email list of 1,400 and a LinkedIn following of 6,000
- The core result my clients get: land a promotion or a 20%+ raise within 6 months
- Time I can give a membership each week: 4 hours per week, no more
- The monthly price range I'd feel comfortable charging: between $49 and $149 per month
PROCESS
1. Identify the ONE ongoing problem my members would happily pay monthly to keep solved...
[rest of the skill unchanged]
And here is the complete output the model returns:
The recurring problem
Your 1:1 clients leave their 12 weeks with a promotion plan, but the hard part isn’t the plan, it’s executing it month after month while real work, politics, and self-doubt get in the way. Career advancement is a slow, ongoing campaign, not a one-time event. That gap between “I know what to do” and “I did it this month” is the recurring need.
The membership concept
The Promotion Path — a monthly membership that keeps mid-career women in tech taking visible, momentum-building steps toward their next promotion, long after the intensive coaching ends.
What members get each month (your weekly time cost in brackets)
- One 60-minute group “office hours” call where members bring a real situation and you coach live. [~1.5 hrs incl. prep]
- One short “move of the month” prompt: a single high-leverage action (e.g. a visibility memo, a skip-level ask) with a fill-in template. [~1 hr to write, reused yearly after year one]
- A members-only async channel where you answer questions twice a week in batches, not in real time. [~1 hr]
- A monthly “wins thread” you seed and respond to, for accountability and social proof. [~0.5 hr]
Total: ~4 hrs/week, inside your budget. The templates become a reusable library, so your time drops after month 12.
Recommended price
$89/month. It sits mid-range and signals a serious professional product, while staying far below your $3,000 1:1 so it never competes with it.
Revenue model
Assumption: conservative conversion of ~3% of your combined reach over time. This is a run-rate model, not a launch-week promise.
Members Monthly recurring revenue Annual run rate 25 $2,225 $26,700 50 $4,450 $53,400 100 $8,900 $106,800 How it fits your current business
The Promotion Path is the natural “after” for every 1:1 client who finishes the 12 weeks and asks “what now?” — graduate them straight in. It also gives your 6,000 LinkedIn followers a low-commitment first “yes” at $89 instead of $3,000, warming them for the 1:1 later. It complements rather than cannibalises: the membership is group and async, the 1:1 stays your premium, high-touch tier.
Biggest retention risk + one fix
The risk is members lurking, getting no visible result, and quietly cancelling. The fix: make the monthly “wins thread” central and personally celebrate every small win by name, so progress is felt and seen each month.
First 3 steps to launch this in 30 days
- Email your last 20 program graduates describing The Promotion Path and inviting 10 founding members at $69 locked for life.
- Run the first office-hours call and write the first “move of the month” before you open it publicly.
- Announce it to your LinkedIn following with one client story and a simple sign-up link.
That is a usable plan in one pass. Tighten the numbers to your real list and it’s ready to test.
Why this works
Four LLM principles are doing the heavy lifting here. Learn them and every business prompt you write gets sharper:
- Role priming. The opening line casts the model as a coaching business strategist who builds low-overhead memberships, not a generic assistant. That single instruction pulls the answer toward practical, solo-coach-sized advice instead of the SaaS-startup playbook the internet defaults to. Always assign a role before you assign a task.
- Specificity in, specificity out. The model can only be as concrete as your inputs. A vague “help me make recurring revenue” yields a vague listicle. Feeding it a real price ($3,000 program), a real audience (1,400 + 6,000), and a hard limit (4 hrs/week) forces a concrete plan with real numbers. The quality of the output is capped by the quality of your inputs.
- Constraints are quality control. The rules aren’t decoration. “Recommend exactly ONE concept” stops the model from dumping five half-ideas. “Every deliverable must fit my time budget” stops it from designing a membership that would wreck your week. “Use only the numbers I gave you, and state any assumption” stops it from inventing a flattering conversion rate. Telling the model what not to do removes its most common failure modes.
- Clarifying questions before answering. The “ask up to 3 clarifying questions first” line lets the model fill gaps by asking rather than guessing. If you forgot to mention you hate running live calls, it can surface that before designing a call-heavy membership. This one line is the biggest fix for generic, off-target AI output.
Do this now
- Paste the skill into a new ChatGPT GPT, Claude Project, or Gemini Gem.
- Fill in your six inputs with your real, honest numbers, especially your weekly time budget.
- Answer any clarifying questions, then read the revenue model out loud. If 50 members feels exciting and deliverable, you have a viable offer.
- Pick the “First 3 steps” and put the first email on your calendar this week.
Pro tips
- Run it twice with two time budgets. Try 2 hours and 6 hours per week. Comparing the two memberships shows you exactly what each extra hour buys, so you can choose deliberately.
- Be brutally honest about your time. The most common way memberships fail isn’t pricing, it’s the founder quietly burning out on delivery. If 4 hours is your ceiling, say 4, not 8.
- Anchor the price against your high-ticket offer. A membership priced far below your 1:1 makes both look right: the membership feels accessible, the 1:1 feels premium. Ask the model to keep that gap wide.
- Re-run it once a year. As your audience and content library grow, your sustainable deliverables change. Feed it new numbers and let it propose the next version of the model.
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