Product or service idealisation
An ideation methodology that asks participants to imagine and describe a perfect product or service for a category — one that has everything they want and need. Rather than evaluating what exists, it asks people to construct what should exist, surfacing latent needs, unmet expectations, and the emotional qualities that would make an offering feel genuinely ideal.
The qualitative theory
Section titled “The qualitative theory”Idealisation as a research technique works on a simple but powerful principle: when people are freed from the constraints of what currently exists, they reveal what they actually need. Evaluating real products anchors participants to the present — they respond to what’s there, including its limitations, and tend to compare rather than imagine. Asking participants to construct an ideal removes that anchor and invites them to describe what would genuinely satisfy them, which is often quite different from what’s available today.
This technique sits within a broader tradition of projective and generative methods in qual research. It is not asking participants to be designers or to solve engineering problems — it is asking them to articulate a felt sense of what would be right. The data it produces is attitudinal and emotional as much as functional: participants describe features, but also how those features make them feel, what problems they solve, and what the experience of using the ideal would be like.
The laddering structure in this methodology moves through three complementary lenses. The first question (what makes this important to you?) grounds the ideal in personal meaning rather than abstract product attributes. The second (what else would be part of it?) extends the picture through open-ended construction. The third (what is missing or frustrating in what exists today?) surfaces the gap between the ideal and the current reality — which is often where the most commercially actionable insight lives.
Together, these three lenses produce a rich picture of the imagined ideal: what it would do, why that matters, what it would feel like, and what current products are failing to provide.
Configured settings
Section titled “Configured settings”This section documents every setting in the methodology so you can understand the intent behind each choice.
Research framing
Section titled “Research framing”| Field | Value |
|---|---|
| Context & Background | Used to imagine and create an ideal product or service for a category. |
| Research Objectives | Uncovers the features, functions, and qualities that would make it feel truly ideal. |
| AI Moderator Tone | Friendly and inquisitive |
Friendly and inquisitive is the right register for generative work. Inquisitive signals that the AI Moderator genuinely wants to explore and understand — which encourages participants to go further with their descriptions rather than stopping at the obvious. A casual tone can work against the imaginative effort the technique requires.
Conversation introduction
Section titled “Conversation introduction”Hi, I’m
{{companionName}}, and I’m your survey companion today. We’ll imagine and bring to life an ideal PRODUCT/SERVICE TYPE.Imagine you could create the ideal PRODUCT/SERVICE TYPE, one that has everything you want and need and makes the overall experience of using it as good as possible. What would it be like? Please describe it in as much detail as you can.
The introduction does two things. It frames the exercise as a creative collaboration (“we’ll imagine and bring to life”) rather than a research task, which lowers the barrier to imaginative engagement. The opening question then sets a high bar for detail — “as much detail as you can” — which signals from the start that brief or vague answers are not what’s needed.
“One that has everything you want and need” is deliberate: it includes both rational (need) and emotional (want) dimensions, so participants don’t anchor on purely functional attributes.
Laddering questions
Section titled “Laddering questions”Three questions, with Randomise off and Paraphrase off:
| # | Question | Purpose |
|---|---|---|
| 1 | What makes this important to you for a PRODUCT/SERVICE TYPE? | Grounds each element of the ideal in personal meaning — shifts from what to why, surfacing the need or value behind the feature |
| 2 | What else would be part of your ideal PRODUCT/SERVICE TYPE? | Extends the ideal beyond the first response — invites participants to build out additional dimensions of the imagined offering |
| 3 | What is missing or frustrating in what exists today that makes you want this ideal PRODUCT OR SERVICE TYPE? | Surfaces the gap between ideal and current reality — locates the unmet need or specific frustration that the ideal would resolve |
Randomise is off because these questions follow a deliberate progression. Q1 grounds the ideal in meaning; Q2 extends the construction; Q3 connects the ideal back to the current category gap. Disrupting the order would break that arc — in particular, asking Q3 before Q1 or Q2 would anchor participants in frustration before they’ve fully constructed the ideal.
Paraphrase is off for the same reason. The specific phrasing of each question is chosen carefully: “what makes this important to you” targets personal value, not feature preference; “what is missing or frustrating” targets the gap, not a general opinion on the category.
Default probe
Section titled “Default probe”Tell me more about
{{topic}}?
Paraphrase on. A simple, open probe that gives the AI Moderator room to follow up naturally across the wide range of dimensions participants might raise when describing an ideal.
Default prompt
Section titled “Default prompt”What about
{{topic}}, please tell me about that?
Paraphrase on. Kept open and inviting — consistent with the generative register of the methodology.
Probe & prompt limit
Section titled “Probe & prompt limit”10 — calibrated across ten topics, several of which have both probing and prompting active. The higher limit provides headroom for the methodology’s broad topic coverage without capping the conversation before key dimensions have been explored.
Topics
Section titled “Topics”| Topic | Description | Probes | Prompts |
|---|---|---|---|
| Features | Product or service features of the ideal — what it has, does, or enables | 2 | Off |
| Problem solving | The frustrations, barriers, unmet needs or shortcomings the ideal offering would address | 1 | Off |
| Ease and convenience | How simple, smooth, accessible and low-effort the ideal offering would be to find, use, and interact with | 1 | Off |
| Design, look and feel | How the ideal offering would look, feel, and be packaged — e.g. size, shape, weight, materials, aesthetics | 2 | On |
| Quality and performance | How well the ideal would work or perform, and how reliably it would deliver | Off | Off |
| Difference it would make | The practical, behavioural or personal effect the ideal offering would have if it existed | Off | On |
| Situation and occasion | The moments, occasions, settings, triggers or conditions in which the ideal would be used | 1 | On |
| Importance and priorities | Which elements of the imagined ideal matter most and feel essential | 1 | On |
| Value for money | What makes the ideal offering feel worth the cost, in terms of benefits, quality, and the overall experience | Off | Off |
| Trust and reassurance | What would make the ideal offering feel credible, dependable, safe, or legitimate | Off | Off |
Randomise probe order: on. Randomise prompt order: on.
A few things worth noting about the topic settings:
Randomise probe order and prompt order are both on — unlike most other methodologies. This is appropriate for an idealisation study because the topics here are not a sequential progression but a parallel set of dimensions that any ideal description might touch on in any order. Randomising avoids systematic bias in which dimensions get followed up first.
Features and Design, look and feel both carry two probes — the highest allocation in this methodology. These are the two dimensions most likely to be described at a surface level in an initial response, and both benefit from additional depth. Features needs probing to move beyond lists of attributes toward the underlying needs. Design benefits from probing to go beyond aesthetics toward the sensory and emotional experience.
Difference it would make has probing disabled but prompting on, with a custom override:
If something like this ideal existed, what difference would it make for you?
This topic is less likely to surface spontaneously — participants focused on constructing the ideal don’t always step back to consider its impact on their life. The specific prompt wording (“if something like this ideal existed”) keeps participants in the hypothetical frame, and “what difference would it make for you” grounds the impact in personal terms rather than abstract benefit statements.
Quality and performance, Value for money, and Trust and reassurance have both probing and prompting disabled. These are important dimensions but tend to emerge naturally as participants describe the ideal — they rarely need to be probed or prompted. Actively pursuing them risks introducing a more evaluative, product-assessment register that would break the generative flow.
Conversation ending
Section titled “Conversation ending”- Closing question: Finally, imagine yourself using this ideal PRODUCT/SERVICE in a typical situation. Beyond ‘good’ or ‘happy’ — how does it make you feel?
- Dynamic ending: Off
- Outro: Thanks for your participation! Please press ‘next’ to continue.
The closing question is the most distinctive element of this methodology’s structure. After participants have described what the ideal would be, the closing question asks them to inhabit it — to imagine actually using it — and then asks for the emotional response. The instruction to go “beyond ‘good’ or ‘happy’” is deliberate: it pushes past generic positive affect toward specific, emotionally precise language. These closing responses often produce the most insight-rich data in the entire conversation.
Dynamic ending is off — a consistent outro ensures a predictable, clean exit when this conversation is embedded within a larger survey flow.
Adapting this methodology
Section titled “Adapting this methodology”When you apply this methodology to a new conversation, these are the fields you’ll typically need to change:
- Replace PRODUCT/SERVICE TYPE throughout the introduction and all three laddering questions with your specific category. Be consistent — use the same term throughout so the conversation feels coherent.
- Context & Background — describe the specific category and any relevant context about the participants or the development challenge you are trying to address.
- Research Objectives — update to reflect which dimensions of the ideal you most need to understand. If the study is about identifying unmet needs, emphasise problem solving and difference it would make. If it’s about product design, prioritise features and design, look and feel.
- Topics — enable or disable based on your category and research focus. Physical products may need different topic emphasis than digital services or experience-based offerings.
- Probe & Prompt Limit — scale up if you enable more topics with active probing or prompting.
The three laddering questions and the closing question are the structural core of this methodology and should be left unchanged wherever possible. The closing question in particular — asking participants to imagine using the ideal and describe the emotional response — is often where the deepest insight about what an ideal would mean to people is found.
Frequently asked questions
Section titled “Frequently asked questions”Why ask people to imagine an ideal rather than evaluate existing products?
Evaluating existing products anchors participants to what currently exists, including its limitations. When asked to imagine an ideal with no constraints, participants reveal what they actually need and want — including things that don’t exist yet. The gap between the ideal and current products is often where the most commercially useful insight lives. Idealisation also produces emotionally richer data because participants are describing something they genuinely want, not rating something they may feel neutral about.
Why does Q3 ask about frustrations with existing products?
After participants have described the ideal (Q1 and Q2), Q3 brings them back to the current category to surface the specific gap the ideal would fill. This is where you get the most actionable insight: not just what the ideal would be, but what current products are failing to provide. The frustration or gap is the commercial opportunity. Asking this after the ideal has been described (rather than at the start) means participants are more articulate about what’s missing — they’ve already defined what “right” looks like.
Why are probe and prompt order randomised in this methodology but not in others?
In most methodologies, topics follow a logical sequence and should be explored in a consistent order. In an idealisation study, the topics are parallel dimensions of the ideal — there is no natural ordering between features, design, ease, and emotional impact. Randomising the order in which these topics are followed up removes systematic bias and ensures no single dimension is consistently prioritised across the sample.
Why does the closing question specifically ask to go “beyond ‘good’ or ‘happy’”?
Generic positive sentiment (“it would be great”, “I’d be happy”) is the default response when people are asked how something would make them feel. It’s the path of least resistance and conveys very little information about the emotional value of the ideal. The instruction to go beyond those words pushes participants toward more specific, precise emotional language — pride, relief, confidence, freedom — which is far more useful for positioning, messaging, and design work.
Can this methodology be used for services or experiences rather than physical products?
Yes. The methodology works for any category where an “ideal” can be meaningfully imagined — physical products, digital services, retail environments, customer service experiences, or subscription models. Adjust the category term throughout, and consider whether the topic list needs to be reconfigured. For service experiences, topics like ease and convenience, situation and occasion, and trust and reassurance may warrant more emphasis than features or design, look and feel.