Product Analysis
Does your product have Product-Market Fit — or are you just hoping? The answer lies not in gut feeling but in the signals: How high is retention? Who recommends you? Who pays without hesitation? And who disappears after the first month?
A product analysis puts these signals on the table in half a day. No feature discussion, but a systematic assessment of whether your product serves the right market.
Format
| Duration | Half day (4 hours) |
| Participants | Founder/product lead + 1-2 key people |
| Preparation | 1 week (usage data + customer feedback) |
| Deliverable | PMF scorecard + signal map + next steps |
| Follow-up | PMF assessment within 3 business days |
Does this format fit? → Schedule a conversation
Process
Preparation (1 Week Before)
You provide usage metrics: retention, churn, activation rate, NPS, referral rate. Plus: customer feedback from support, reviews, and sales conversations. We analyze the data upfront and identify initial patterns.
Analysis Day
Morning: Signal Mapping
We systematically map PMF signals: Which user segments stay? Which leave? Where is willingness to pay highest? Where are referrals? The result is a signal map showing where Product-Market Fit exists and where it does not.
Afternoon: Bottleneck Identification and Prioritization
Based on the signal map, we identify the bottleneck: What is missing for PMF? Is it the product (wrong features), the market (wrong segment), or the positioning (built right, communicated wrong)? The three most impactful levers are prioritized.
Follow-Up (3 Business Days)
You receive the PMF scorecard with signal map, bottleneck diagnosis, and prioritized recommendations.
What You Receive
- PMF Scorecard: Assessment of PMF signals (retention, referral, revenue, engagement) per segment
- Signal Map: Visualization of which segments show PMF and which do not
- Bottleneck Diagnosis: Product, market, or positioning — where is the lever?
- Prioritized Recommendations: The three next steps with expected impact
Who It’s For
- Founders post-MVP: You have initial users, but the metrics are unclear. The analysis shows whether you are on the right track.
- Product teams with stagnating metrics: Growth is flattening, churn is rising. The analysis identifies the structural bottleneck.
- Before a funding round or pivot decision: Investors ask about PMF. The analysis delivers the data-based answer.
Results from Practice
Starting point: Serving 3 industries simultaneously, stagnating growth despite feature releases. The half-day PMF signal analysis showed: one industry had 3x higher net revenue retention and the highest referral rate. The other two showed classic non-PMF signals: high churn, low activation. Decision: focus on the industry with PMF. Result: revenue doubled within 12 months.
Starting point: Internal digital product for dealer network, after 18 months only 15% activation rate. Signal analysis showed: the product solved a real problem, but only for large dealers (50+ employees). Small dealers had the bottleneck elsewhere. Decision: narrow target group, optimize onboarding for large dealers. Result: activation rate to 60% in 6 months.
Frequently Asked Questions
What does a product analysis cost?
A product analysis is in the mid to high three-figure to low four-figure range (EUR). You receive a binding fixed-price offer upfront.
Is half a day enough for a PMF assessment?
Yes — for a diagnosis with clear next steps. You receive a PMF scorecard with the signals that speak for or against Product-Market Fit, plus prioritized recommendations. Not a full product strategy.
What is the difference from product development?
The product analysis is a status assessment in half a day. Product development is a project format over several weeks that covers conception, validation, and market launch. The analysis shows where you stand — product development takes you further.
What data do you need upfront?
Usage metrics (retention, churn, activation rate), customer feedback (NPS, reviews, support requests), and revenue data per customer segment. No elaborate preparations — existing dashboards and raw data are enough.
We don't have a product on the market yet. Does the analysis still make sense?
For products in the concept phase, we recommend the Product-Market-Fit Sprint instead of the analysis. The analysis requires real usage data — without market data, there are no signals to evaluate.
What happens after the analysis?
Within 3 business days, you receive the PMF scorecard with signal map and prioritized recommendations. Typical next steps: Product-Market-Fit Sprint for validation or product development as a project format.
Related Services
- Product Development — From idea to market-ready product
- Product-Market-Fit Sprint — PMF validation in 1-2 days
- Strategy Sparring — Monthly strategic support
Next step: If the analysis shows that PMF exists in one segment, the Product-Market-Fit Sprint validates the hypothesis in 1-2 days.