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High Bar Smoke Test

In a High Bar Smoke Test, you increase the difficulty of the customer onboarding in order to gauge the seriousness of their purchase intent

Jordan Duff avatar
Written by Jordan Duff
Updated over a week ago


Method category: Evaluative market experiment

How to Use This in GLIDR

In a High Bar Smoke Test, you increase the difficulty or friction of the customer's onboarding to your product in order to gauge the seriousness of their intent to purchase.

In GLIDR, you will be running this test with an Experiment. First, create or connect ideas about customer conversation rate to an Experiment. Then, in the Run phase, conduct the test itself by releasing the process with increased friction, and once complete, add the results to Evidence - Other. In the Analyze phase, determine if this test was successful or not and update your project accordingly. 

Learn more about each of those aspects of GLIDR:


High Bar Smoke Test

Article excerpted from The Real Startup Book

In Brief

A High Bar test helps to gauge the customer’s willingness to pay without using any form of monetary payment. This particular form of smoke test is focused on having the customer go through a set of activities containing abnormal amounts of usability friction (e.g. a very long, complicated signup form) to gauge the customer’s desire for a particular solution. This can be combined with additional "pre-qualifying" to ensure that the customers who do take the action are exactly the right kind of customer for the product.

Helps Answer

  • How keen is the customer?

  • How big of a problem is it for the customer?

  • Who is my early adopter?


  • Purchase motivation

  • Nonmonetary

  • Behavioral

  • Sales

  • B2B

  • Quantitative


A high bar smoke test refers to using an additional behavioral filter to test actual purchasing behavior (even if you aren't charging money yet). Basically, you are assuming that a truly motivated customer will jump through any hoops you put in front of them.

This is a particularly useful technique, if:

  1. You aren't yet ready to charge.

  2. You are operating in a B2B environment where the price will be customized to the customer's needs.

It's worth establishing that customers are already "signing up" with a frictionless form of currency. For example, you are gathering a lot of prospect emails. You aren't sure how well this will translate into sales. Your conversion rate to email serves as a benchmark value. Assume you introduce additional steps (extra form fields, application criteria, additional meetings, and hurdles). If you continue to get a similar conversion rate, then this high bar is reached. The smoke test passes.

This technique corresponds with "lead scoring" in a B2B context. In short, you can prioritize the relevance of incoming sales leads based on their interactions with you. Usually, the three main criteria used include RFM (recency, frequency, and money). A prospect with recent interactions is more likely to buy from you. A prospect who's frequently "touched" you, i.e., opened emails, attended meetings, or fielded calls, is more likely to buy. A prospect who's already spent money elsewhere to solve the problem (or with you) are more likely to buy from you. This is already implemented in various CRM and email software packages.

An early stage B2B startup can run a high bar smoke test, which if passed can also serve to prescreen incoming leads. The more robust data collection process helps them prioritize future sales opportunities.

Ultimately, what matters is sales. This test helps provide a proxy for sales if it is not practical or possible to immediately sell. Even if your signup conversion rate falls, this might not proportionally impact your actual sales. If you weed out prospects for whom your product is irrelevant, this will not impact your sales.

Time Commitment

Online: A few hours to a few days of developer time for a simple approach
Existing packages: Integration time
Offline: Depends on your existing approach/processes, and what you want to learn

How To

  1. Determine what else you want to know about your target market and in what time frame (timebox).

  2. Determine the current conversion rate on your existing signup process. Make it clear exactly how this is calculated, i.e., what constitutes a conversion event, particularly if you are doing it manually. Also be clear on the ideal prospect, i.e., your near-miss prospects don't count if they fill out the form.

  3. Add some "friction" to the process in the form of additional form fields or introduce an application process. If you have enough traffic, you can try to set this up as an A/B split test.

  4. Once the timebox expires, compare your conversion rate.

Interpreting Results

This type of smoke test requires a lot of self-awareness and accountability, even compared to other smoke tests. If you get an unexpected result, there is a temptation to question your previous assumptions.

As with all smoke tests, do not ask about future behavior.

Potential Biases

  • Ambiguity: Even more so than with other test types, it is critical to be clear upfront what "counts" and what doesn't.

  • Backfire effect: The reaction to disconfirming evidence by strengthening one's previous beliefs.

Field Tips

  • Agree what constitutes a conversion event before you do a high bar smoke test.

  • Your near-miss prospects don't count if they fill out your signup form when doing a high bar smoke test.

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Case Studies


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