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Importance vs. Satisfaction Gap Analysis

Find your biggest opportunities by measuring the same attributes twice — how much each matters, and how well you deliver it today. The gaps become your priority list, and slider matrices keep it fast enough that people actually finish. AI follow-ups dig into the biggest gap each respondent reports.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

6 questions · ~5 min
Q01
Message

This short study asks about the same set of product qualities twice: first how much each one matters to you, then how well we deliver it today. The gaps between those two answers tell us exactly what to fix first. About 4 minutes.

Q02
Slider MatrixRequired

First: how IMPORTANT is each of these to you when using a product like ours?

7 rows, one slider each
  • Speed and responsiveness
  • Ease of learning
  • Depth of features
  • Quality of support
  • Price for value
  • +2 more
Slider 010Min:Not importantMax:Critical
Q03
Slider MatrixRequired

Now: how SATISFIED are you with how we deliver each of these today?

7 rows, one slider each
  • Speed and responsiveness
  • Ease of learning
  • Depth of features
  • Quality of support
  • Price for value
  • +2 more
Slider 010Min:Very dissatisfiedMax:Very satisfied
Q04
Multiple ChoiceRequired

Of the qualities above, which ONE would you fix first if you ran the company?

  • Speed and responsiveness
  • Ease of learning
  • Depth of features
  • Quality of support
  • Price for value
  • Reliability and uptime
  • Data security and privacy
Q05
AI Interview

Explore the respondent's single biggest importance-satisfaction gap: a recent, specific moment when the shortfall affected them, what they did as a workaround, how it influences their renewal or recommendation intent, and what 'fixed' would concretely look like. Anchor on the attribute they said they'd fix first.

Q06
Message

Done — thank you! Your answers plot straight onto an importance-satisfaction matrix, and the interview explains the 'why' behind your biggest gap.

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • Paired importance and satisfaction batteries on identical attributes produce per-attribute gap scores automatically
  • A forced 'fix first' choice prevents the everything-matters flatline that pure rating grids produce
  • The AI interview digs into each respondent's single biggest gap with a concrete recent story — the evidence behind the quadrant chart

Qualtrics

Feature Prioritization Survey

A free, PhD-designed template that prioritizes features by separating need-to-have from nice-to-have and produces a feature-importance matrix. It leans on conjoint methodology and prebuilt logic to identify what customers value most and where market gaps exist, though it emphasizes importance/trade-off more than a paired satisfaction measure and is English-only.

What it does well

  • Expert (PhD-designed) prebuilt logic and survey structure so users do not design the method from scratch
  • Delivers a feature-importance matrix distinguishing need-to-have from nice-to-have
  • Frames output toward action: allocating limited development resources and avoiding costly build errors
  • Free to use with a Qualtrics account and reusable for tracking preferences over time

Where it falls short

  • No adaptive AI follow-up asking why a feature matters or where satisfaction falls short
  • No voice administration of the prioritization questions
  • English-only, so it cannot field the same study across languages natively
  • Prioritization centers on importance/trade-off; a paired current-satisfaction gap view is not the emphasis, and output is a matrix rather than a written narrative

QuestionPro

GAP Analysis - Satisfaction Vs. Importance

QuestionPro's GAP Analysis module pairs importance and satisfaction ratings on the same attributes and computes the difference in means to reveal where high-importance attributes underperform. It makes the core argument well (high satisfaction on a low-importance attribute does not help ROI), but the page explains the concept without showing the quadrant chart or scoring UI in the fetched content.

What it does well

  • Correctly pairs importance and satisfaction on identical attributes and computes the gap as a difference in means
  • Articulates the key insight that satisfaction alone misleads without importance weighting
  • Ties the analysis directly to ROI prioritization (fix high-importance, low-satisfaction attributes first)
  • Uses concrete attribute examples (Level of Support, Response Turnaround Time) to illustrate

Where it falls short

  • No AI follow-up probing why an important attribute is dissatisfying, so root causes stay unexplained
  • No voice-interview capture of the reasons behind low satisfaction
  • Page conveys the concept but does not expose the quadrant chart or gap-scoring visualization to the user
  • No auto-generated report translating gap scores into a prioritized action narrative

SurveySparrow

Gap Analysis Questionnaire Template

A real gap-analysis questionnaire for comparing actual versus desired outcomes on projects. Useful structure for the same core idea; it targets project management rather than product attributes, and the gap math and follow-up are manual.

What it does well

  • Genuine gap-analysis framing (actual vs. desired) ready to field
  • Chat-style survey experience with easy customization
  • Free template on a specialist survey platform

Where it falls short

  • Project-management orientation — not paired importance/satisfaction batteries on product attributes
  • No automatic per-attribute gap scores or quadrant output
  • No probe into the story behind each respondent's biggest gap

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.