- Home
- Skills
- Education & Learning
- Executive Case Practice Studio
Works with the AI Agents you already use
Executive Case Practice Studio
Create a realistic executive product practice case with separate candidate material, evaluator guidance, and a scoring rubric.
$18
Executive Case Practice Studio
Example session with this skill installed
Create a fresh 90-minute VP Product practice case for a fictional operations SaaS company deciding between self-service activation and assisted onboarding. Use synthetic data, two to four coherent exhibits, at least two defensible paths, a separate evaluator key and a rubric totaling 100. Return the complete candidate packet; keep the evaluator files separate and do not leak their contents into the candidate packet.
- Read your context and instructions
- Compiled the executive case practice
RelayForge: VP Product practice case
Simulation notice: RelayForge, its customers, observations, quotations, costs and numerical values are entirely fictional data prepared for this practice exercise. They do not describe a real company or measured customer results.
Your role and decision
You are the incoming VP Product of RelayForge, an operations SaaS company that helps distributed service teams assign and verify shift handoffs. The CEO wants the next quarter's one onboarding investment to improve useful customer adoption and sustainable subscription contribution.
Choose whether to prioritize
- a self-service activation improvement for single-site accounts; or
- a structured assisted onboarding offer for network accounts that operate multiple sites.
You may recommend deferring either investment if you explain the consequence and the evidence needed to release the allocation. Make one primary choice. Do not split the engineering allocation between both pilots.
You have
90 minutes to prepare a decision memo of
up to 1,000 words, plus one small calculation table and an oral-defense card of
up to 200 words. The calculation table and defense card are outside the memo's word limit. After preparation, be ready for a five-minute discussion of your recommendation. The discussion is outside the 90-minute preparation period.
Use only the four supplied exhibits. AI assistance and ordinary calculation tools are permitted for this fictional exercise. External research is unnecessary and should not be used. State assumptions explicitly. You do not need company knowledge or a particular framework.
Constraints and expected submission
The quarter has one six-engineer-week allocation, with a fixed loaded cost of $24,000. Only one of the proposed pilots can use that allocation. There are 144 incremental customer-success hours available for an assisted pilot. These hours are a capacity limit; their variable cost is specified in Exhibit 3. Do not assume additional staff or acquisition spend.
In your memo, state the decision, chosen customer behavior, strongest alternative, economic comparison, scope boundary, proposed test, measurement and decision rules, accountable owner role, and evidence that would change your direction. Address customer friction and operating consequences. Connect useful adoption to subscription contribution without claiming an unobserved causal effect.
The calculation table should show a common economic comparator, input assumptions and a break-even condition. The defense card should give a short spoken recommendation, the most important assumption and two likely objections with concise responses.
You are not being asked for an annual company forecast, a full product strategy, a complete technical architecture or a production launch. Do not assume the existence or absence of capabilities beyond the supplied baseline.
Exhibit index
- Mature 90-day new paid-account cohort
- Onboarding progression for that same cohort
- Next-quarter capacity and cost assumptions
- Directional customer evidence and current product baseline
Exhibit 1: mature 90-day new paid-account cohort
This is one cohort of 240 new paid accounts that began service during a fictional April–June enrollment window. Every account has its own complete 90-day observation period; windows start at the account's service start. Internal accounts and trials are excluded. There was no onboarding experiment and no random assignment. The two segments use the current approach.
Prices are fixed monthly recognized subscription revenue. A paid account-month means one complete 30-day subscription period recognized within the first 90 days. The maximum is three per starting account. All accounts pay for the first period; canceled accounts may have paid for one, two or three periods. An account retained at day 90 is still paying and active at that point. There is no expansion, discount, refund, pass-through revenue or acquisition spend in these figures. Retained-at-day-90 status and the three-period paid-month count are different measurements.
| Segment | Starting accounts | First verified handoff by day 14 | Retained at day 90 | Paid account-months in first 90 days | Monthly price |
|---|---|---|---|---|---|
| Single-site | 160 | 72 | 112 | 400 | $160 |
| Network | 80 | 56 | 68 | 221 | $520 |
The account-level join is available. Of the 72 single-site accounts with a first verified handoff by day 14, 63 were retained at day 90. Of the 56 network accounts with a first verified handoff by day 14, 51 were retained at day 90. These are observational associations; onboarding route and customer complexity were not randomized.
A
verified handoff is an assignment to a named customer operator, with required fields valid and receipt acknowledged by a different customer operator, persisted in RelayForge's authoritative handoff record. Demo or internal handoffs are excluded.
Exhibit 2: onboarding progression for the same cohort
Counts below use the same 160 single-site and 80 network accounts and the same account-relative observation windows as Exhibit 1. Each stage count is distinct accounts, not attempts. Workspace creation, role assignment and first verified handoff are cumulative by day 14. A repeat verified handoff is a second verified handoff by day 28, by an account that completed the first by day 14. Repeat counts are a subset of first-handoff counts. A later first handoff does not qualify for this repeat measure.
| Progression stage | Single-site accounts | Network accounts |
|---|---|---|
| Created workspace by day 14 | 136 | 78 |
| Assigned operator and receiver roles by day 14 | 104 | 72 |
| First verified handoff by day 14 | 72 | 56 |
| Repeat verified handoff by day 28 | 54 | 48 |
The current human onboarding option is offered after signup, but cohort records do not reliably identify which accounts accepted it or how much assistance they received. Service exposure cannot be used as a treatment indicator. Failure reasons are not consistently recorded for accounts that abandon a stage. The verified-handoff and payment records are authoritative; source logs can be joined to assignment records in a new pilot.
Exhibit 3: next-quarter capacity and cost assumptions
These are fictional finance and operations planning inputs, not observed pilot outcomes. The next quarter's planning population is 160 new single-site accounts and 80 new network accounts; do not extrapolate beyond that population. A comparison group may receive the current experience. The following service limits apply to the intervention; candidates should explain how they allocate treatment and comparison without exceeding them.
| Input | Self-service option | Assisted option |
|---|---|---|
| Candidate intervention | Guided selection of the existing first-handoff setup and role examples | Structured mapping and verification sessions using current scheduling and handoff tools |
| Maximum accounts receiving the intervention next quarter | 160 single-site accounts | 48 network accounts |
| Fixed product/engineering allocation | Six engineer-weeks; $24,000 | Six engineer-weeks; $24,000 |
| Incremental onboarding delivery/support cost | Estimated $12 per treated account, once | Three hours per treated account at $80/hour, once |
| Incremental human-service capacity | Included in the $12 estimate; no additional dedicated session pool | At most 144 hours; no overtime or new hires |
Ordinary recurring variable hosting, payment and support costs equal $32 per paid single-site account-month and $104 per paid network account-month. These costs are additional to the one-time intervention costs above; do not count the same costs twice. Ordinary costs for the current experience belong in the counterfactual. Fixed pilot investment should be kept separate from recurring contribution.
The $12 self-service estimate has not been validated. Its modeled range is $6–$30 per treated account. The assisted three-hour estimate is the staffing assumption; time overruns reduce the number of accounts that can be served under the 144-hour cap. No price increase or new onboarding fee is authorized.
The causal effect of either intervention on first handoffs, repeat use, cancellation and paid account-months is unknown. If you use a 12-month incremental contribution model, define paid-month uplift relative to the current approach and label any uplift values as assumptions. The historical 90-day cohort is not a 12-month forecast. For comparison, show each option both at its permitted deployment size and at the treatment size chosen for your test, or explain why a different common unit is more useful.
Exhibit 4: directional customer evidence and current product baseline
These synthetic interviews were sampled for convenience from recently onboarded customers and accounts that stalled. They are separate from the quantified cohort; interview accounts cannot be joined to it. Responses may overlap within each sample. They are directional observations, not representative prevalence estimates.
| Interview sample | Observation |
|---|---|
| Ten single-site operators | Six described uncertainty about who should own and acknowledge the first handoff; four said they reverted to their existing chat process after initial setup. |
| Eight network operators | Five described difficulty mapping site-specific roles to one operating workflow; three described trouble finding a time when all relevant site leads could join onboarding. |
Synthetic single-site quote: “I could create the workspace, but I was not sure who should receive the first handoff.”
Synthetic network quote: “A session helped one site; we still had to decide what should be shared across the others.”
Verified current product baseline: a workspace setup flow, role assignment, field validation, six generic handoff templates, a CSV import with mapping preview, human-session scheduling and persisted handoff acknowledgement. The templates have not been tested as a guided onboarding sequence. The import works for supported fields; it does not resolve customer ownership or site policies.
Unverified capabilities: cross-site policy recommendations, automated mapping from a customer's existing tools and an AI onboarding planner. Public silence or this exhibit's omission does not prove those capabilities are absent. Treat them as unknown and state the evidence needed before committing scope. No AI component is required by this case.
Return your work
Return the memo, the small calculation table and the oral-defense card together. Clearly distinguish supplied facts, inferences, assumptions and proposed thresholds. Choose a direction and specify what the CEO is being asked to authorize now, what must be learned before a larger commitment, and who owns the next decision.
Connects securely to your tools. The creator never sees your data.
About this skill
What it helps you do
Create a realistic executive product practice case with separate candidate material, evaluator guidance, and a scoring rubric.
Built for product leaders preparing for executive interviews who need a concrete work product they can inspect and revise.
What is included
- A focused SKILL.md operating workflow with evidence and decision boundaries.
- Original fictional practice material with explicit source definitions and constraints.
- A delivery review for the errors that can change the decision.
- A ready-made case with separate candidate/evaluator resources, plus design and scoring guidance.
How to use it
Give your agent the decision, source material, audience, and requested format. Ask it to use this skill. For a first run, use the included fictional practice packet. The agent separates supplied facts from assumptions, produces the deliverable, and checks decision-critical gaps.
Why this edition
This paid edition extends the creator's original workflow with task-specific practice material and delivery resources. It is intended to help you produce and review the work, not just fill headings. The listing demo uses fictional evidence; it is not an actual customer result.
Boundaries
Works from supplied or authorized evidence; it cannot invent access, facts, benchmarks, or measured business impact. Synthetic fixtures demonstrate the method only. Quality depends on source coverage and the executing agent. Real document page limits require a supported renderer. Practice scores are diagnostic, not hiring predictions. Live assignments must permit the chosen AI assistance. Blind practice requires a fresh context without the answer key. No customer accounts are required for supplied-context practice. Optional connected research and external writes depend on your tools and authorization.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
Money-back guarantee
Doesn't do what its page promises? You get your money back.
Trust & safety
Security scanned
Verified clean 6 days ago
- Passed all security checks, Safe to install