Key Performance Indicators (KPIs) 📈 Prompts

SUMMARY

Purpose: KPIs (Key Performance Indicators) help teams measure UX success by aligning user outcomes with product goals.

Design Thinking Phase: Define

Time: 45–60 min session + 1–2 hours analysis

Difficulty: ⭐⭐

When to use:After defining problem areas and opportunity spacesWhen preparing usability or product experimentsTo align cross-functional teams on what success looks like

What it is

KPIs (Key Performance Indicators) in UX are measurable indicators that reflect how effectively a digital product supports its intended user outcomes. They help bring clarity to what success means, both for teams and end users, by linking user-centric behaviours to product strategy.

📺 Video by NNgroup. Embedded for educational reference.

Why it matters

Without clear and relevant UX KPIs, teams risk optimising for vanity metrics or misaligned business goals. By setting meaningful success criteria early, you enable evidence-based design decisions, focus stakeholder conversations, and get buy-in on the UX definition of value.

KPIs also make it easier to test assumptions, run experiments, and iterate with purpose instead of following hunches. For leadership and PMs, they create a shared language around progress.

When to use

• When scoping or prioritising UX research plans
• While conducting early stakeholder workshops
• During validation and post-launch analysis

Benefits

• Rich Insights: Helps uncover user needs that aren’t visible in metrics.
• Flexibility: Works across various project types and timelines.
• User Empathy: Deepens understanding of behaviours and motivations.

How to use it

Start by identifying what success looks like from the user's perspective. Then, collaborate with stakeholders, analysts, and product managers to define metrics that can capture that success in practice.

Steps:

1. Identify clear JTBD (Jobs To Be Done) or user needs in scope.
2. Map touchpoints or user flows where you expect success to manifest.
3. Brainstorm potential user-centred KPIs: engagement, task success rate, NPS, drop-off reduction etc.
4. Prioritise each KPI for clarity, measurability, and strategic value.
5. Assign baseline values, success targets, and timelines where possible.
6. Revisit after deployment and tie results to design iteration loops.

Example Output

Project: Redesigning user onboarding for a mobile banking app

UX KPIs:

• Onboarding completion rate: Target 85% in 30 days
• Time to first successful transaction: Target < 5 mins from completion
• User-reported ease-of-use (from in-app survey): Score 8/10 avg minimum
• Error events per 100 sessions: Reduce from 12 to under 3

Common Pitfalls

• Overusing generic metrics: E.g. bounce rate or download numbers often lack UX relevance.
• Focusing only on business KPIs: Ignoring behavioural or satisfaction outcomes leads to shallow insights.
• Setting metrics without data readiness: Metrics that can’t be reliably tracked create false signals and wasted effort.

10 Design-Ready AI Prompts for KPIs – UX/UI Edition

How These Prompts Work (C.S.I.R. Framework)

Each of the templates below follows the C.S.I.R. method — a proven structure for writing clear, effective prompts that get better results from ChatGPT, Claude, Copilot, or any other LLM.

C.S.I.R. stands for:

• Context: Who you are and the UX situation you're working in
• Specific Info: Key design inputs, tasks, or constraints the AI should consider
• Intent: What you want the AI to help you achieve
• Response Format: The structure or format you want the AI to return (e.g. checklist, table, journey map)

Level up your career with smarter AI prompts.Get templates used by UX leaders — no guesswork, just results.Design faster, research smarter, and ship with confidence.First one’s free. Unlock all 10 by becoming a member.

Prompt Template 1: “Draft Success Metrics for Your UX Flow”

Draft Success Metrics for Your UX Flow

Context: You are a senior UX designer preparing to launch a revised [checkout flow] in a [mobile eCommerce app].

Specific Info: The redesign focuses on reducing cart abandonment and handling edge cases like errors during payment.

Intent: Define a list of KPIs to measure UX success post-launch.

Response Format: Return a table with KPI name, rationale, how to measure, and ideal outcome target.

If any feature detail or goal is ambiguous, ask for clarification.
Then suggest one strategy to validate assumptions behind the KPIs.