Pretotyping Signals
Understand the real evidence behind your validation scores.
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Overview
Pretotyping signals are the core output of HolyShift's validation process. They represent concrete evidence — extracted from hundreds of real conversations — that real people either want what you are building or they do not.
Unlike survey responses or focus group feedback, pretotyping signals come from natural conversations where people react honestly and in their own words. HolyShift categorizes, scores, and contextualizes every signal so you can make decisions based on evidence, not speculation.
Each signal is tagged with a confidence score, a type classification, and the raw language that produced it. You always see the data behind the number.
How to Use It
- Open your completed project and navigate to the Demand Signals section of your Pretotyping Signal Report.
- Review the signal summary at the top for an overall picture of demand strength.
- Drill into each signal type — explicit demand, implicit demand, and counter-signals — to understand the nuances.
- Pay attention to confidence scores to gauge how reliable each signal is.
- Read the real user language excerpts to hear your market's voice directly.
Feature Details
Signal Types
Explicit Demand Direct statements of interest or willingness to pay. These are the strongest signals because they leave little room for interpretation.
- "I would pay for something like this."
- "Where can I sign up?"
- "I have been looking for exactly this."
- "How much does it cost?"
Implicit Demand Behavioral patterns and indirect indicators that suggest interest without a direct statement. These require more interpretation but often reveal deeper motivations.
- Asking detailed follow-up questions about how the product works.
- Describing workarounds they currently use to solve the same problem.
- Comparing it favorably to existing solutions.
- Sharing the idea with someone else unprompted.
Counter-Signals Evidence that works against your hypothesis. Counter-signals are not failures — they are essential data that prevents you from building something people will not buy.
- "I already use [competitor] and it works fine."
- "This is not a problem I care about solving."
- "I would not pay for this."
- "I tried something similar and stopped using it."
Confidence Scores
Every signal is assigned a confidence score from 0 to 100 based on multiple factors:
| Score Range | Meaning |
|---|---|
| 80-100 | Strong signal. High consistency across conversations, clear language, multiple corroborating data points. |
| 60-79 | Moderate signal. Majority of conversations support this signal, with some variation. |
| 40-59 | Mixed signal. Evidence exists but is inconsistent or contradicted by other data. |
| 20-39 | Weak signal. Limited supporting evidence. May reflect a niche segment rather than broad demand. |
| 0-19 | Negligible signal. Very few data points, high noise. Do not base decisions on this alone. |
Confidence scores factor in sample size, consistency across conversations, strength of language, and corroboration across multiple independent data points.
Signal Strength
Signal strength indicates intensity — how strongly people feel about a given signal, independent of how many people expressed it.
- High strength — Emotional language, urgency, willingness to act immediately.
- Medium strength — Interest and engagement, but no urgency.
- Low strength — Acknowledgment without enthusiasm.
A signal can have high confidence (many people expressed it) but low strength (none of them felt strongly about it), or vice versa. Both dimensions matter.
Real User Language Extraction
Every signal includes the exact words and phrases your market used. This is not paraphrased or summarized — it is direct extraction from conversations.
This language is valuable beyond validation. Use it in your landing page copy, ad campaigns, investor pitch, and product messaging. Your market has already told you how they describe the problem. Use their words, not yours.
FAQ
How are confidence scores different from signal strength? Confidence measures how reliable the signal is based on volume and consistency. Strength measures how intensely people feel about it. A high-confidence, high-strength signal is the best possible outcome — many people feel strongly. A high-confidence, low-strength signal means lots of people acknowledge it but nobody cares much.
Can I see the raw conversation data? Your report includes representative excerpts and extracted language. Full conversation transcripts are not provided to protect participant privacy, but all signals are traceable to specific conversation patterns.
What if I get strong counter-signals? Strong counter-signals are valuable. They tell you exactly what objections you need to overcome, what competitors have already locked down, and what your market considers a deal-breaker. Use them to refine your positioning or pivot your approach.
How many conversations does it take to generate reliable signals? HolyShift runs 500 to 1,000 conversations per validation. At this scale, patterns emerge clearly and confidence scores are statistically meaningful. Individual outlier responses do not skew results.
Do signals change if I rerun validation? If your market and description are the same, results should be broadly consistent. Differences between runs reflect natural variation in conversations and may surface new nuances. Running validation twice can increase confidence in strong signals.
What's Next
- Market Analysis — See how your demand signals map to market size and trends.
- Competitive Teardowns — Understand what your market already uses and pays for.
- Understanding Your Report — Learn how signals fit into the full Pretotyping Signal Report.