What Does an Evidence Log for Worthiness Work Actually Look Like? (Part 2)

Q: I started an evidence log after reading the first piece. I’ve been keeping it for a few weeks. But I’m not sure I’m doing it right — sometimes the outcomes are mixed (like, they didn’t enroll but it wasn’t catastrophic) and I don’t know what to write. How do I log outcomes that aren’t clearly success or failure?

Mixed outcomes are exactly the kind of evidence the log is designed to capture — and they’re often more useful than clean successes.

What the Log Is Actually Tracking

Before addressing mixed outcomes, it helps to clarify precisely what the evidence log is tracking. It’s not tracking enrollment rate. It’s not tracking whether claiming experiments produced revenue.

The log tracks one thing: the relational outcome of claiming acts. Specifically — did the relational catastrophe the conditional belonging template predicted materialize?

The template’s predictions are relational: “they’ll think I’m mercenary,” “this will change how they see me,” “the relationship will cool,” “my community will hear and judge.” These are social and relational predictions, not business predictions.

When a prospect doesn’t enroll, that’s a business outcome. The question for the evidence log is: was the relational prediction accurate? Did the non-enrollment come with judgment, relational distance, community fallout?

Logging a Non-Enrollment

Here’s how to log a non-enrollment in a way that captures the relevant evidence:

Date: [date]
Claiming act: Named rate of $185 to a prospect.
Template’s relational prediction: She’ll feel I’m out of her range and judge me for pricing myself away from ordinary people. The warmth of the call will cool.
Actual business outcome: She did not enroll. Said she had some financial things to sort out.
Actual relational outcome: The conversation remained warm throughout. She thanked me for my time and said she’d been grateful for the introductory call. She asked if she could reach out in a few months when her situation had changed. No judgment, no relational cooling.
Gap between prediction and outcome: Template predicted relational rupture. Actual: warmth maintained, invitation for future contact, no expression of judgment.

This entry is valuable evidence even though the business outcome was a non-enrollment. The template predicted relational cost. The actual relational outcome was the opposite. That gap is the data the template needs to update its prediction.

Logging Complicated Outcomes

Some outcomes are more genuinely mixed. A prospect who said the rate was too high, seemed slightly irritated, and ended the call more abruptly than expected. Or a long-term client who agreed to the new rate but whose tone changed in subsequent sessions.

Log these specifically and honestly:

Claiming act: Named new rate to long-term client.
Template’s relational prediction: She’ll feel I’ve become transactional and the relationship will change.
Actual relational outcome: She agreed to the rate. Her tone in the following session seemed slightly more formal than usual — I noticed I was on alert for this and may be reading into it. By the third session, the tone had returned to its usual warmth.

The entry captures the mixed outcome honestly — the initial shift in tone — while also capturing the resolution. This is accurate evidence: not “everything was perfect,” but “the predicted catastrophe didn’t materialize, there was a brief shift that resolved.”

Why Mixed Outcomes Matter More Than Clean Successes

Clean successes (“they enrolled without hesitation and everything was wonderful”) are easy to dismiss. The template can categorize them as anomalies: “that client was unusual,” “that situation was easier than typical.”

Mixed outcomes that didn’t produce relational catastrophe are harder to dismiss. The prospect was slightly irritated and it was uncomfortable — and the relational cost the template predicted still didn’t materialize. The long-term client’s tone shifted briefly — and it resolved.

These entries tell a more complex and more convincing story than clean successes: claiming at this level sometimes produces friction, and the friction doesn’t produce the relational catastrophe. This is useful updating material.

The Log Over Time

After several months of entries including mixed outcomes, the log’s cumulative picture becomes clear: the variance in relational outcomes is much smaller than the template’s predictions suggest. The predicted relational catastrophes — the ones that motivate the discount impulse and the scope expansion — rarely arrive at the level the template predicted, even when the claiming act produces friction.

That cumulative picture is the evidence base. Not any single entry, but the body of entries that shows the variance between prediction and outcome, consistently, over time.

The Abundance GPS Skool community helps practitioners maintain the log with the consistency and specificity that makes it a genuine evidence base rather than a sporadic journal. Come take a look.