feature-investment-advisor
by deanpetersfeature-investment-advisor helps evaluate feature investments using revenue impact, cost structure, ROI, and strategic value. Use it for Strategic Planning when you need a build/don't build recommendation backed by financial logic, and when a feature-investment-advisor guide should pressure-test roadmap requests before engineering time is committed.
This skill scores 74/100, which means it is listable and useful for users who want a financial lens on feature prioritization, but it is not fully turnkey. The repository gives enough workflow detail and examples for an agent to trigger and run it with less guesswork than a generic prompt, though directory users should expect to supply business inputs and tolerate some missing operational tooling.
- Strong, specific trigger: it is explicitly for evaluating feature investments using revenue impact, cost structure, ROI, and strategy.
- Substantial workflow content: the skill body is large, has multiple headings, and the example conversation shows a stepwise analysis process with real inputs.
- Good install decision value: clear best-for scenarios and concrete decision outcomes (build/don't build) make the use case easy to understand.
- No support files or scripts: there are no companion references, rules, or automation assets, so users rely entirely on the SKILL.md guidance.
- No install command or tooling metadata: adoption may take a bit more manual setup and interpretation than a more packaged skill.
Overview of feature-investment-advisor skill
feature-investment-advisor is a decision-making skill for evaluating whether a feature is worth building based on revenue impact, cost structure, ROI, and strategic value. It is best for product managers, founders, and strategy leads who need a clearer answer than “sounds valuable” before committing engineering time.
The main job-to-be-done is to turn a vague feature request into a financially grounded build / don’t build recommendation. The feature-investment-advisor skill is especially useful for Strategic Planning when a roadmap item needs to be tested against margin, payback, and opportunity cost instead of just user demand.
What differentiates it is the explicit financial lens: it asks how the feature creates revenue, what it costs to build and run, and whether the result is strategically defensible. That makes it stronger than a generic prioritization prompt when the real blocker is investment justification.
What feature-investment-advisor is for
Use feature-investment-advisor when you need to pressure-test a feature before it enters a roadmap, quarter plan, or budget discussion. It helps with “Should we build this now?” questions, especially when the request comes from sales, leadership, or a high-value customer.
What it is not
This feature-investment-advisor skill is not a substitute for qualitative discovery, customer research, or a full portfolio planning model. It does not replace RICE or product sense; it gives you a financial decision layer that complements them.
Who gets the most value
Teams with pricing power, usage-based economics, enterprise selling, or meaningful support and infrastructure costs will get the most value. If your organization often has to defend build choices with numbers, this skill is a strong fit.
How to Use feature-investment-advisor skill
Install and open the right files
Install feature-investment-advisor with:
npx skills add deanpeters/Product-Manager-Skills --skill feature-investment-advisor
Then read SKILL.md first, followed by examples/conversation-flow.md. Those two files show the intended interaction pattern and the kind of context the skill expects. There are no support folders like rules/ or resources/, so the repo is intentionally lightweight.
Give the skill decision-grade input
feature-investment-advisor works best when you provide numbers, even if they are estimates. Start with the feature, target segment, expected revenue mechanism, build cost, and any ongoing costs.
A strong prompt looks like this:
“Evaluate whether we should build SSO for mid-market customers this quarter. The feature could reduce churn by 0.5% monthly, we have 1,200 mid-market accounts, ARPA is $1,500, gross margin is 82%, dev effort is 3 engineers for 8 weeks, and ongoing support cost is expected to rise slightly.”
Use the recommended workflow
First, state the feature in one sentence. Next, provide business context: ARR or MRR, customer segment, margin, churn, and pricing model. Then give cost inputs: engineering time, external spend, COGS, and support load. Finally, ask for a recommendation framed as build now, defer, or do not build.
Read outputs as an investment memo
The best outputs are not just verdicts; they show the reasoning behind the verdict. Look for how the skill weighs direct revenue, retention impact, strategic fit, and payback period. If the recommendation feels too abstract, add better assumptions and rerun the analysis.
feature-investment-advisor skill FAQ
Is feature-investment-advisor only for finance-heavy teams?
No. The feature-investment-advisor skill is most valuable for product teams, but it is usable anywhere roadmap decisions need commercial logic. It is especially helpful when engineering capacity is limited and every feature has an opportunity cost.
How is this different from a normal prompt?
A normal prompt often produces a generic opinion. feature-investment-advisor usage is more structured: it pushes you to quantify revenue linkage, implementation cost, and strategic value so the recommendation is easier to defend in planning meetings.
Can beginners use feature-investment-advisor?
Yes, if they can share rough estimates. You do not need perfect financial data to get value, but you do need enough context to answer “What changes if we build this?” Without even approximate numbers, the result will be less actionable.
When should I not use this skill?
Do not use feature-investment-advisor when the real question is pure usability, exploratory research, or short-term copy/UX tuning. It is a poor fit if you are not trying to make an investment decision or if the feature has no meaningful business cost.
How to Improve feature-investment-advisor skill
Bring stronger assumptions, not just a feature name
The biggest quality gain comes from better inputs. Instead of “Should we add analytics?”, provide customer segment, expected adoption, monetization path, and cost estimate. feature-investment-advisor can only judge what you actually specify.
Clarify the decision threshold
Tell the skill what would count as a win: payback in six months, retention lift above a certain level, or strategic importance for enterprise deals. That makes feature-investment-advisor more useful for Strategic Planning because the recommendation can be measured against your bar.
Watch for weak revenue stories
A common failure mode is optimistic revenue language without a clear path to dollars. If a feature mainly “improves the product,” ask whether it reduces churn, enables pricing, expands a segment, or lowers support cost. If none of those are credible, the business case is usually weak.
Iterate with scenario ranges
If the first answer depends heavily on assumptions, rerun feature-investment-advisor with best-case, base-case, and conservative numbers. That helps you see whether the decision is robust or fragile, which is often the real planning question.