Just how rigorous and responsible is your AI-assisted research—really?
Most teams adopting AI in research have never actually measured it. The HEARTS Scorecard is a free, 2-minute self-assessment that scores your workflow across the six HEARTS lenses and plots you on a Rigor × Responsibility map — so you can see, at a glance, where your practice is strong and where risk is quietly hiding.
No account, no pitch. You'll get your quadrant, a per-lens read, and the one lens worth fixing first.
The HEARTS Scorecard
What's the integrity of your AI-assisted research workflows?
Rate the maturity and integrity of your current workflow across the six HEARTS lenses. You'll get a per-lens read, your overall maturity, and the one lens worth focusing on next.
How this works & what it can't tell you
- You'll answer 15 questions, one at a time, across the six lenses — each on a 1–5 frequency scale (1 = Never, 5 = Always). Pick "Not sure" if you can't see it; it's excluded from scoring.
- Each lens is the average of its questions. The six lenses roll up into two axes — Rigor (H, A, R) and Responsibility (E, T, S) — so every lens counts equally.
- Your result is a 2×2: your two axis scores place you in one of four quadrants (Exposed, Unguarded, Earnest, Assured). Axis scores are directional, not precise.
- Questions ask how often each practice actually happens — easier to answer honestly than agree/disagree.
- At the end, a few optional questions about your team help build anonymous benchmarks — used in aggregate only, never tied to you.
- Limitation: a self-assessment from one person's view — a structured reflection to surface blind spots, not a formal audit or a measure of research quality. For a team-level read, the Team Baseline Assessment is the rigorous counterpart — book a call to run it with your team.
A little about you and your team
These help build anonymous AIxUXR benchmarks, so you'll be able to compare your results to similar teams down the line. Used in aggregate only, never tied to you — skip any you like.
Want this as a takeaway?
Get your results plus a tailored 3-step action plan. I'll also send the occasional AIxUXR resource — that's it.
Now what?
What is the HEARTS Scorecard?
The HEARTS Scorecard is a free self-assessment that measures how rigorously and responsibly a team uses AI in user research. It scores your current workflow against the six lenses of the HEARTS Framework and places you in one of four quadrants on a Rigor × Responsibility grid. It is a structured reflection to surface blind spots — not a formal audit. The HEARTS Framework, developed by Kaleb Loosbrock with the AIxUXR community.
What does it measure?
Fifteen questions across the six HEARTS lenses, each rated on a "never → always" frequency scale:
H — Human-Led & Centered: the researcher stays in control.
E — Experience-Focused: AI improves the experience for everyone it touches.
A — Amplification, Not Automation: AI amplifies judgment instead of replacing it.
R — Rigorous & Responsible: outputs are validated and bias is checked.
T — Trustworthy & Transparent: AI's role is disclosed and insights are traceable.
S — Safe, Secure & Sustainable: people are protected, data is secured, practice is sustainable.
How is it scored?
Your lenses roll up into two axes — Rigor (Human-Led, Amplification, Rigorous) and Responsibility (Experience, Trustworthy, Safe/Secure/Sustainable). Your position on the 2x2 lands you in one of four quadrants: Exposed, Unguarded (rigorous but under-protected), Earnest (responsible but not yet rigorous), or Assured (both). Axis scores are directional, not precise.
Who is it for?
UX and product researchers, research leaders, and ReOps teams adopting AI who want to move faster without losing the rigor — or the trust.
Is this an AI readiness assessment?
Not exactly. The Scorecard checks the integrity and responsibility of your current AI practice. That's one input into broader AI readiness. If you want the full picture — capability, governance, and a 90-day plan — that's the AI Readiness Analysis, and the Scorecard is the natural first step.
Frequently asked questions
What is the HEARTS Scorecard? A free, 2-minute self-assessment of how rigorously and responsibly your team uses AI in research, scored across the six HEARTS lenses and plotted on a Rigor × Responsibility 2x2.
How long does it take? About two to four minutes — 15 quick questions, one at a time. No account needed.
Is it free? Yes. It's free, requires no sign-up, and you can save or email your results.
What does my result mean? You land in one of four quadrants — Exposed, Unguarded, Earnest, or Assured — based on your Rigor and Responsibility scores, plus a per-lens breakdown and the single lens worth focusing on next.
Is the Scorecard an audit? No. It's a self-assessment from one person's perspective — a reflection tool to surface blind spots, not a formal audit or a measure of research quality.
Who created the HEARTS Framework? The HEARTS Framework was developed by Kaleb Loosbrock with the AIxUXR community.
Cite this
The HEARTS Framework, developed by Kaleb Loosbrock with the AIxUXR community. Take the Scorecard at https://www.heykaleb.com/hearts-scorecard. Read the full framework at https://www.heykaleb.com/hearts-framework.