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Sensirion AG, Mixed-Methods Product Research

Translating a complex, unfamiliar air quality index into actionable visualizations

How I validated strategically plausible but untested VOC display concepts from prior desk research through two diary studies, a randomized concept test (N = 259) and five interviews in real-world use – and developed an evidence-based recommendation catalog for UX/UI and Sales.

The core decision

Under what UX/UI conditions did traffic-light and trend-line concepts work for an unfamiliar gas index and how could Sales justify which concept suited which customer context?

Sensirion indoor air quality monitor on a wooden table in a living room, showing VOC trend lines on its display

Role

Lead UX Researcher

COLLABORATION

Lead Field Application Engineers, UX/UI Designer, Product Manager, Software Developer

Study Design

Diary Study n=9 → Concept Test N=259 + 5 Interviews → Diary Study n=12

Context

Indoor Air Quality, VOC Visualization

DURATION & Outcome

3 Months; Evidence-based Design Recommendation Catalog for UX/UI & Sales

Tools

60-second story

From a plausible concept to a reliable decision logic

Problem

An agency had developed 3–5 VOC display concepts from desk research. It was still open how people would understand them with a real device over several days.

Approach

Two diary studies, a randomized concept test (N = 259) and five interviews connected longitudinal use, preference and explanation.

Key insight

There was no single solution. Traffic lights enabled quick orientation, trend lines added context at a higher interpretation effort.

Decision

Both formats needed value, context and action. I translated the evidence into a recommendation catalog: when traffic light, when trend, which color, what to add and which UX/UI conditions Sales could explain to customers.

Outcome

A decision logic instead of a ranking. Subsequent implementation and customer adoption were outside my scope.

01 CONTEXT & BRIEF

01 CONTEXT & BRIEF

The concepts were plausible. What was missing was the reality check in daily use.

Before I joined, an external agency had conducted extensive desk research and design strategies. The presentation was well-founded and delivered several plausible display ideas – but these had not yet been tested with users and a real device over multiple days.

The Sensirion team therefore commissioned me to take the concepts developed by the designer from the strategy level into real-world use. My brief was to empirically test their strengths, limitations and conditions of use – not to confirm a pre-assumed solution.

STARTING POINT

3–5 plausible display concepts from desk research and design strategies.

CHALLENGE

Static concepts did not show how changing VOC values would be understood at home.

PROJECT GOAL

Empirically investigate daily interaction, needs, pain points and format preferences.

DECISION QUESTION

Build evidence for when each concept should be recommended – including UX/UI conditions.

Research Lead: Diana

Decision ownership: UX/UI Lead + Product Managers + Engineers

02 STARTING POINT: CONCEPTS TO BE TESTED

02 STARTING POINT: CONCEPTS TO BE TESTED

Two plausible design hypotheses, that weren’t yet validated solutions

Traffic-light display concept for the VOC index on the air quality monitor

vs

Trend-line display concept showing how VOC values change over time

Compared display directions: traffic-light status and trend line (Two Variables: color and shape)

HYPOTHESIS A

Traffic-light status

Developed by Anna Maria: quick recognition of the current status through familiar color signals.

Three traffic-light monitor variants with different color schemes

HYPOTHESIS B

Trend line / spline chart

Developed by Anna Maria: more temporal context by showing how VOC values change over time.

Trend-line monitor variants side by side
Close-up of a trend-line display variant
Close-up of a second trend-line display variant

03 RESEARCH STRATEGY

03 RESEARCH STRATEGY

Each phase addressed a different uncertainty – from daily comprehension to recommendation

I sequenced methods so that each phase answered a different question. The diary studies were recruited through an external market research partner and incentivized due to the high commitment required. A randomized concept test then compared four value formats; five 1:1 interviews explained the reasons behind preferences.

Approach at a glance

Each method reduced a different uncertainty. Unresolved questions were deliberately carried into the next phase instead of forcing an early winner.

01

Observe in context 1

Diary Study 1, n = 9, 7 days

Test traffic-light status and color schemes in natural use; identify ambiguity and missing context.

→

02

Compare formats

Concept Test, N = 259, randomized

Compare four value representations and retain ambiguity instead of declaring a survey winner.

→

03

Explain the why

5 × 1:1 interviews

Explain preferences, expectations and misinterpretations behind the quantitative pattern.

→

04

Observe in context 2

Diary Study 2, n = 12, 6 days

Test trend-line display, value formats and color schemes again in everyday use.

→

05

Translate evidence

Cross-method synthesis

Turn trade-offs into conditions for UX/UI and Sales recommendations.

Decision rule: preference data informed the next field study; it was not treated as the final design decision.

01

Diary study 1

N = 9; 7 days, externally recruited

Evaluation of the traffic-light concept and color schemes in participants’ natural usage context.

02

Concept test + interviews

N = 259; randomized order, online

Compare four value representations and understand the reasons behind preferences and misinterpretations through five 1:1 interviews.

03

Diary study 2

N = 12; 6 days, externally recruited

Evaluation of the trend-line concept, alternative color schemes and value formats in daily use.

Diary Study 1, Research artifact and synthesis

Diary Study 1 research board with participant entries and clustered observations
Diary Study 1 synthesis board summarizing findings

04 EVIDENCE 01 – DIARY STUDY 1

04 EVIDENCE 01 – DIARY STUDY 1

The biggest risk was not red. It was ambiguity.

ASSUMPTION

Red in the traffic-light concept could broadly trigger anxiety or overreactions.

EVIDENCE

This broad assumption was not confirmed in Diary Study 1. Participants generally appreciated the clarity of familiar status signals; however, later interviews still revealed individual emotional associations with red.

IMPLICATION

Color could support quick classification, but could not carry meaning alone. Users needed explanations for fluctuations, reference points and guidance on what to do next.

Research pivot: Instead of continuing to ask ‘Which color is safest?’, the next phase focused on what information users need beyond the visual signal to confidently interpret VOC

05 EVIDENCE 02 – CONCEPT TEST

05 EVIDENCE 02 – CONCEPT TEST

Users wanted a visible value, but there was no single ‘magic format.’

A sequential-monadic concept test with N = 259 compared four value representations in randomized order. The result was valuable precisely because it produced no artificial winner: ‘No value’ was chosen least often, while the two leading numeric formats were close together.

34%

Scale

x/500

31%

Percent

%

24%

Index

visuelles / Index-Format

12%

No value

lowest preference

WHAT WAS CONFIRMED

Concrete values were perceived as more transparent

‘No value’ was chosen least often. The five interviews additionally showed that participants expected a concrete measurement for VOC – especially because other air quality indicators on the device also displayed numbers.

THE TRADE-OFF

Familiar does not automatically mean correctly understood

Percentage values felt familiar but were interpreted by some users as an absolute health or quality score. The x/500 scale was less familiar but more neutral. Both formats therefore needed context rather than being treated as self-explanatory.

Concept Test, Setup, preference data and synthesis

Concept test setup showing the four VOC value representations
Concept test survey screen
Concept test preference data chart
Concept test synthesis board

Decision sequence: Both leading value representations advanced to the next real-world study. The survey preference was deliberately not treated as the final design decision.

06 EVIDENCE 03 – DIARY STUDY 2

06 EVIDENCE 03 – DIARY STUDY 2

Trend lines provided more information and increased interpretation effort

The second diary study tested the information-richer, trend-based concept over six days with N = 12 participants. This phase examined whether historical context actually helped when the display needed to work at a glance in daily life.

01

Current status needed priority

Trend lines were conceptually helpful, but small display size, contrast and color differentiation made it difficult to quickly grasp the current VOC status.

02

Values still needed context

Neither % nor x/500 was self-explanatory. Users still needed a reference frame to assess whether a value was good, acceptable or concerning.

03

Expectations for action signals were clear

11 of 12 participants expected a proactive signal – such as a notification, blinking or sound – when air quality required attention.

Evidence boundary: The research supports these usability and interpretation findings; it does not document which downstream screen variant was ultimately implemented by individual customers.

Diary Study 2, Screens and cross-method synthesis

Diary Study 2 display screens with trend lines and value formats
Diary Study 2 findings board
Cross-method synthesis board combining diary studies, concept test and interviews

Product context – Sensirion Indoor Air Quality Monitor: example photos from diary study participants sent to me.

Diary study participant photo of the Sensirion air quality monitor in their home
Diary study participant photo of the air quality monitor placed in a room
Diary study participant photo of the air quality monitor, portrait format

07 SYNTHESIS

07 SYNTHESIS

The research produced no universal winner. It delivered a reliable recommendation logic for both concepts.

Both visualizations remained part of the recommendation catalog: the traffic-light concept supported quick status recognition; trend lines provided historical context but required stronger UX/UI support.

Across both, status, value, context and action had to be connected.

STATUS

Make the current status immediately recognizable.

VALUE

Show a concrete measurement instead of relying on color alone.

CONTEXT

Explain what the value and its fluctuations mean.

ACTION

Link critical states with action guidance or proactive alerts.

Recommendation logic: Traffic-light status for quick orientation; trend lines when temporal context matters and current status remains visually prioritized

08 OUTCOME & MY ROLE

08 OUTCOME & MY ROLE

From a presumed concept comparison to an evidence-based recommendation catalog for Sales

Both display directions could be recommended – under different UX/UI conditions. I synthesized the cross-method evidence into a catalog that explained when each concept was appropriate, what trade-offs existed and how Sales could justify the recommendation to B2B partners.

WHAT I DELIVERED

Evidence-based recommendation catalog

A prioritized set of conditions of use and UX/UI principles for traffic-light and trend-line concepts.

Decision rationale for Sales

Guidelines enabling Sales to justify when which VOC concept suited a customer context and which trade-offs needed consideration.

Cross-method synthesis

A consistent recommendation based on longitudinal use, five qualitative interviews and randomized preference data.

MY ROLE

Lead UX researcher

I owned research planning, recruiting partner management and the design, execution and analysis of the diary studies, concept test and five interviews – including synthesis, stakeholder readouts and the final recommendation catalog.

Cross-functional collaboration

I collaborated with UX/UI, Product, Engineering, Sales, Field Application Engineering and Software Development.

Decision ownership

Downstream product, design and customer decisions rested with the UX/UI Lead, Product Managers and Engineers – and were outside my scope.

The full recommendation catalog remains confidential. The abstracted decision logic is shown above.

WHAT I DO NOT CLAIM AS IMPACT

Which screen variants individual customers ultimately chose, how Sales used the catalog and what was implemented were outside my visibility. I therefore do not present these as impact.

09 KEY LEARNINGS

09 KEY LEARNINGS

Not every strong research outcome ends in a single solution

01

Desk research delivers hypotheses, not real-world evidence

The agency work was strategically plausible. Only longitudinal use with a real device showed which ideas remained comprehensible even as values changed.

02

Sequence methods by uncertainty

The concept test revealed preferences, interviews explained expectations and diary studies made long-term comprehension and behavior visible. No single method could have supported the decision alone.

03

A catalog can be more valuable than one clear winner

There was no single solution. The strategic value lay in translating trade-offs into reliable selection rules: when traffic-light, when trend and which UX/UI conditions apply in each case.

Recommended next step: Validate the recommendation logic with broader and culturally diverse user groups, test onboarding and thresholds and measure actual catalog adoption by Sales and Product. This downstream impact was outside my scope.

CASE: MIXED-METHODS PRODUCT RESEARCH, IAQ

Diana Szczepanik, UX research and experimentation portfolio

Contact

Facing a similar decision?

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Contact

Facing a similar decision?

In a free 30-minute intro call, we look at your product question and the research approach that fits – an experiment, usability testing or discovery research.

30-minute free intro call

Reply within 1–2 business days

Get a free proposal

Contact

Facing a similar decision?

In a free 30-minute intro call, we look at your product question and the research approach that fits – an experiment, usability testing or discovery research.

30-minute free intro call

Reply within 1–2 business days

Get a free proposal