Interpretation Guide

How to Interpret
Your Results

The data reveals patterns — but what do the numbers actually mean, and how should you use them? This guide helps you understand your results, navigate perception biases, and have productive conversations.

01

Understanding
Your Numbers

What the Weighted Hours Mean

Weighted hours are not the same as clock hours. They represent the true burden of your household labor, accounting for both physical effort and mental load.

EXAMPLE

If you spend 2 hours mowing the lawn (2.2× multiplier), that counts as 4.4 weighted hours because it's physically demanding.

If you spend 1 hour on meal planning (1.5× multiplier), that counts as 1.5 weighted hours because of the cognitive load involved.

This approach ensures that harder tasks get more credit, making the comparison more fair than simple time tracking.

The Confidence Bands

Time estimates are inherently fuzzy. You might round, forget, or estimate differently than your partner. The ±10% confidence bands show the range of uncertaintyaround your estimates.

When Bands Overlap Significantly

If your confidence bands overlap by more than 50%, the difference may not be meaningful. Small gaps (under 3 weighted hours) are often within measurement error.

When Bands Don't Overlap

If the bands don't overlap at all, the gap is likely real and worth discussing. Large gaps (over 8 weighted hours) represent substantial differences in burden.


02

Perception vs.
Reality

One of the most valuable insights from this audit is understanding the gap between how you feel about the workload distribution and what the data shows.

Four Common Scenarios

1

SCENARIO 1: PERCEPTION MATCHES REALITY

You both felt Partner A does more, and the data confirms it.

Insight: This is validating. The higher-burden partner's experience is confirmed, and you can now have concrete conversations about redistribution.

2

SCENARIO 2: DATA SHOWS BALANCE, BUT ONE PARTNER FEELS OVERWHELMED

The weighted hours are roughly equal, but someone still feels burdened.

Insight: This is a perception issue. Possible causes: invisible emotional labor not captured, timing/flexibility differences, or unrealistic expectations.

3

SCENARIO 3: DATA SHOWS IMBALANCE, BUT NEITHER PARTNER NOTICED

The numbers reveal a gap, but you both thought it was fair.

Insight: This is invisible labor made visible. Often happens when one partner does high-multiplier tasks (physical or cognitive) that go unnoticed.

4

SCENARIO 4: REVERSED PERCEPTION

Partner A thought they do more, but data shows Partner B actually carries the load.

Insight: This is a perception distortion. Often caused by visibility bias, availability heuristic, or focusing illusion. Requires careful, empathetic conversation.

Why Perception Matters as Much as Reality

Research shows that perceived fairness is a better predictor of relationship satisfaction than actual task division equality.

KEY RESEARCH

Lavee, Y., & Katz, R. (2002). Division of labor, perceived fairness, and marital quality: The effect of gender ideology. Journal of Marriage and Family, 64(1):27-39.


03

Common Perception
Biases

Our brains are wired to make quick judgments, but these mental shortcuts can distort how we perceive household labor. Understanding these biases helps explain why perception sometimes differs from data.

The Visibility Bias

We notice and remember tasks we can see, but underestimate invisible work.

EXAMPLE

Mowing the lawn is highly visible — neighbors see it. Meal planning happens in your head and leaves no trace.

The Availability Heuristic

We overestimate the frequency and importance of tasks we personally do.

EXAMPLE

If you do dishes every night, you're acutely aware of it. Your partner's daily tidying may not register as strongly.

The Effort Discounting Effect

We discount the effort required for tasks we don't personally do.

EXAMPLE

"Grocery shopping only takes an hour" — but you're not counting the meal planning, list-making, and putting groceries away.

The Gratitude Asymmetry

We give less credit for routine tasks and more for occasional contributions.

EXAMPLE

Partner A cooks dinner every night (routine). Partner B occasionally deep-cleans the garage (sporadic). Partner B may receive disproportionate praise.

The Focusing Illusion

We overestimate the impact of whatever we're currently thinking about.

EXAMPLE

If you just finished frustrating insurance paperwork, that task looms large — even if your partner spent 3 hours on childcare.

Gender Role Expectations

Societal norms shape what tasks "count" as noteworthy contributions.

EXAMPLE

Tasks aligned with traditional gender roles may be taken for granted or seen as "natural" rather than work deserving credit.


04

Having Productive
Conversations

The data is a starting point, not the final word. Here's how to use it constructively.

Lead with Curiosity, Not Judgment

❌ DEFENSIVE APPROACH

"See? I told you I do way more than you!"

✓ CURIOUS APPROACH

"I'm surprised by this gap. What does it look like from your perspective?"

THE "I FEEL" FRAMEWORK

  1. 1
    I feel... (overwhelmed / exhausted / resentful)
  2. 2
    When... (describe the pattern, not blame)
  3. 3
    What I need is... (specific, actionable request)
  4. 4
    How does this land for you? (invite partner's perspective)

Rebalancing Strategies

  • 🔄
    Swap tasks: Trade something you hate for something your partner hates
  • 💰
    Outsource: Hire help for high-burden tasks if financially feasible
  • 📉
    Reduce standards: Not everything needs to be perfect
  • 📦
    Shift domains: Transfer ownership of entire categories, not just tasks
  • Time-block: Create protected time for the higher-burden partner

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