Tools · People analytics
Skills Gap Analysis
Describe a team + goal — get rated skill gaps with build/buy + a learning plan.
How it works
Corpus-grounded (people-analytics cluster). Compares the capabilities the goal needs vs. what the team has, rates each gap, tags it build-or-buy with an action, and gives a learning plan + hiring priorities.
You bring
{ context, cluster? }
You get
{ context_summary, target_capabilities[], current_strengths[], gaps[]{skill, severity, build_or_buy, action}, learning_plan[], hiring_priorities[], riskiest_assumptions[], grounded_in, provenance }
Use it for
- →PA-guide reader: map the team's gaps against the strategy
- →Decide what to train vs what to hire for
- →Get a learning plan + ranked hiring priorities
See it work
example outputContext: a 6-person marketing team at a Series-A B2B SaaS, tasked with owning product-led growth and a new self-serve motion within 12 months.
Skills Gap Analysis — Marketing team taking on product-led growth
Context: A 6-person marketing team (strong in content + field/events) now charged with owning a self-serve, product-led growth (PLG) motion within a year.
Target capabilities (what the goal demands)
- Lifecycle / activation analytics (funnel instrumentation, cohort retention)
- Growth experimentation (hypothesis → test → readout cadence)
- Self-serve conversion-rate optimization
- Product-marketing for in-product onboarding
- SQL / data tooling for self-serve reporting
Current strengths
- Strong long-form content + SEO foundation
- Event/field marketing and brand
- Solid creative and messaging craft
Gaps
| Skill | Severity | Build or buy | Action |
|---|---|---|---|
| Growth experimentation | high | Buy | Hire one growth marketer to set the experiment operating cadence |
| Activation/lifecycle analytics | high | Build (+tooling) | Upskill one marketer on the product-analytics stack; pair with data |
| Self-serve CRO | medium | Build | Train two team members; run a guided first set of tests |
| In-product onboarding PMM | medium | Build | Stretch assignment for the current PMM with mentorship |
| SQL / self-serve reporting | low | Build | Short course + templated dashboards |
Learning plan (build path)
- Product-analytics bootcamp for the nominated analyst-marketer (weeks 1–4).
- Internal experimentation guild — weekly readouts to build the test-and-learn muscle.
- CRO workshop + a supervised first experiment backlog.
- SQL fundamentals + pre-built self-serve dashboards to remove the reporting bottleneck.
Hiring priorities (buy path, ranked)
- Growth marketer — the experimentation gap is high-severity and slow to grow internally; anchor-hire it.
- (Conditional) fractional product-analytics support if internal upskilling lags by month 3.
Riskiest assumptions
- That the existing team has the bandwidth to learn while still delivering the current content + events engine.
- That a single growth hire can seed the culture, rather than needing a small pod.
- That product analytics is instrumented enough to act on — a data-foundation gap would reorder everything.
Grounded in: people-analytics cluster · constructs: capability mapping, build-vs-buy, severity rating, learning pathways · sources: The Performance Mindset / workforce-capability literature, Reforge-style growth-competency models.
Run it now
Run a skills-gap analysis
Compare the capabilities your goal needs vs. what the team has — gaps rated and tagged build-or-buy, a learning plan, and hiring priorities.
Prefer code? Call it over the API or hand it to your AI agent via MCP — POST /api/bicycle/skills-gap-analysis · analyze_skills_gap. API & agent access →