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brand-perception-q2-2025 · publicop.io
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← BackEN ▾v0.9.9
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Survey Settings
▾ S1: Screener
No questions yet
▾ S2: Core Perception
Q1: Brand familiarity
Q2: Word association
Q3: Attribute rating
▸ S3: Competitor Analysis
▸ S4: Closing
Total sections4
Total questions12

Brand Perception Tracking

Welcome to our Q2 Brand Tracking study. Your responses help us shape the future of our product.
SECTION INTRO
Core Perception
↓
⋮⋮
Section 2
Core Perception
⋮⋮
#1 Brand familiarity
SINGLE CHOICE✓ Required
⋮⋮
#2 Please rate on the following attributes:
LIKERT (1–7)✓ Required
⋮⋮
#3 Which of these features do you value most?
MULTIPLE CHOICE— Optional
Logic
IF awareness == "low" THEN skip
Translated
EN · TR · DE · ES · FR · +26
Export
.sav ready · 24 vars
§ The problem

A serious study shouldn't
require six different tools.

01 / Fragmentation

The Fragmented Stack

Survey in one tool. Data cleaned in another. Analyzed somewhere else. Results built in a presentation app. Every study is a manual assembly job.

02 / Cost

The Enterprise Wall

Enterprise pricing built for enterprise IT teams. Overkill for independent researchers and boutique agencies who just need the depth.

03 / Gap

The Missing Middle

Most "simple" survey tools stop at collection. You still have to figure out analysis, reporting, multilingual logic, and structured export yourself.

+ Translation tool+ BI dashboard+ Codebook by hand
Research tools haven't been rebuilt in a decade. PublicOp is what they'd look like if they were built today.
§ The platform

One platform.
The full research operations workflow.

Start with a free QuickPoll if you like; upgrade to structured research on the same platform as your needs grow.

PublicOp takes you from questionnaire design to client-ready report without leaving the platform.

01 / 04

Write surveys like code.

OPScript lets you build complex, branching, multilingual questionnaires in a text editor. No drag-and-drop limits. Version control built in.

brand-perception-q2-2025.ops · publicop.io
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@SURVEY: Brand Perception Tracking
# S1. Screener & Demographics
 
1. {brand} How familiar are you with this brand?
[ID: brand_awareness_q1]
[TYPE: SINGLE]
[REQUIRED]
- Use it regularly {opt_1} [POINT: 4]
- Used it before {opt_2} [POINT: 3]
- Heard of it {opt_3} [POINT: 2]
- Never heard of it {opt_4} [POINT: 1]
[LOGIC: IF == "opt_4" THEN GOTO q_screener_end]
 
# S2. Core Perception
 
2. What words come to mind when you think of {brand}?
[ID: brand_sentiment_words]
[TYPE: OPEN_TEXT]
[MAX_CHARS: 120]
 
3. Please rate {brand} on the following attributes:
[TYPE: MATRIX]
[SCALE: 1-7]
OPScript Reference
Attributes
@SURVEY: Survey title
@DESC: Internal description
@INTRO: Welcome message
@OUTRO: Thank you message
Blocks
# Section Header
## Subsection
--- Page Break
Question Modifiers
[REQUIRED]
[ID: ...]
[TYPE: ...]
[LOGIC: ...]
02 / 04

Logic that handles real research.

Branching, piping, routing, conditional display. The kind of survey logic serious studies actually need.

brand-perception-q2-2025.ops — Flow Logic
SURVEY CANVAS
S1 — Screener
S2 — Core Perception
Q1 — Brand familiarity
Q2 — Word association
Q3 — Attribute rating
S3 — Competitor Analysis
S4 — Closing
ACTIVE RULES
RULE 1
IFQ1: FamiliarityEquals
VALUENever heard of it
THENSkip to q_screener_end
RULE 2
IFQ3: RatingAvg <
VALUE3.5
03 / 04

Watch opinion form in real time.

Live result pages that update as responses arrive. Share with clients before fieldwork even ends.

Live Results · brand-perception-q2-2025
Brand Perception Tracking
LIVEUpdated 12s agoCloses in 4d
TOTAL RESPONSES
1,847
+128 today
COMPLETION RATE
82%
+2.4 pp
AVG. COMPLETION TIME
4:32
Steady
Q1 — Brand familiarity distribution
brand_awareness_q1 · n=1,847
75%
AWARE
Use it regularly34%
Used it before41%
Heard of it18%
Never heard of it7%
Responses by language
EN 812TR 541DE 298ES 196
English812
Turkish541
German298
Spanish196
+ 8 more…
04 / 04

Export exactly what your workflow needs.

Structured data in SPSS, Word, and CSV. Stable variable naming, codebook included, ready for analysis without reformatting.

Export Data · brand-perception-q2-2025
Export Dataset
1,847 responses · 24 variables · 4 languages
EXPORT OPTIONS
Include value labels (Recommended)
Normalize variable names (q1_ → brand_awareness_q1)
Generate PDF Codebook + 2 pages
Apply sample weights
Strip incomplete responses 336 rows removed
SAVbrand_perception_q2_2025.sav214 KB
PDFcodebook.pdf38 KB
SYNvalue_labels.sps6 KB
Dataset generation will take ~4 seconds
brand-perception-q2-2025.ops · publicop.io
Dashboard
WORKSPACE
Surveys
Studies
Distribution
Reports
Models
ACCOUNT
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← BackEN ▾v0.9.9
DesignTextScriptFlow
Save
1
2
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7
8
9
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@SURVEY: Brand Perception Tracking
# S1. Screener & Demographics
 
1. {brand} How familiar are you with this brand?
[ID: brand_awareness_q1]
[TYPE: SINGLE]
[REQUIRED]
- Use it regularly {opt_1} [POINT: 4]
- Used it before {opt_2} [POINT: 3]
- Heard of it {opt_3} [POINT: 2]
- Never heard of it {opt_4} [POINT: 1]
[LOGIC: IF == "opt_4" THEN GOTO q_screener_end]
 
# S2. Core Perception
 
2. What words come to mind when you think of {brand}?
[ID: brand_sentiment_words]
[TYPE: OPEN_TEXT]
[MAX_CHARS: 120]
 
3. Please rate {brand} on the following attributes:
[TYPE: MATRIX]
[SCALE: 1-7]
OPScript Reference
Attributes
@SURVEY: Survey title
@DESC: Internal description
@INTRO: Welcome message
@OUTRO: Thank you message
Blocks
# Section Header
## Subsection
--- Page Break
Question Modifiers
[REQUIRED]
[ID: ...]
[TYPE: ...]
[LOGIC: ...]
brand-perception-q2-2025.ops — Flow Logic
SURVEY CANVAS
S1 — Screener
S2 — Core Perception
Q1 — Brand familiarity
Q2 — Word association
Q3 — Attribute rating
S3 — Competitor Analysis
S4 — Closing
ACTIVE RULES
RULE 1
IFQ1: FamiliarityEquals
VALUENever heard of it
THENSkip to q_screener_end
RULE 2
IFQ3: RatingAvg <
VALUE3.5
Live Results · brand-perception-q2-2025
Brand Perception Tracking
LIVEUpdated 12s agoCloses in 4d
TOTAL RESPONSES
1,847
+128 today
COMPLETION RATE
82%
+2.4 pp
AVG. COMPLETION TIME
4:32
Steady
Q1 — Brand familiarity distribution
brand_awareness_q1 · n=1,847
75%
AWARE
Use it regularly34%
Used it before41%
Heard of it18%
Never heard of it7%
Responses by language
EN 812TR 541DE 298ES 196
English812
Turkish541
German298
Spanish196
+ 8 more…
Export Data · brand-perception-q2-2025
Export Dataset
1,847 responses · 24 variables · 4 languages
EXPORT OPTIONS
Include value labels (Recommended)
Normalize variable names (q1_ → brand_awareness_q1)
Generate PDF Codebook + 2 pages
Apply sample weights
Strip incomplete responses 336 rows removed
SAVbrand_perception_q2_2025.sav214 KB
PDFcodebook.pdf38 KB
SYNvalue_labels.sps6 KB
Dataset generation will take ~4 seconds
§ Capabilities

Built for how researchers actually work.

QuickPoll

Deploy an instant polling tool without an account. Create rapid surveys and share live results instantly.

OPScript

Write surveys as structured code. Faster than drag-and-drop for complex, programmable survey forms.

30+

Multilingual publishing

Seamless multilingual survey translation. One survey, 30+ languages, unified dataset.

Live Reports

Real-time survey analytics and dashboards. Share updating result pages with clients while fieldwork is still running.

SAV · CSV · DOCX

Research-Ready Export

Export clean, structured data directly from SPSS to Word and CSV — with stable variable naming.

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Run audio response surveys. Respondents answer by voice, transcribed with high accuracy for deeper insights.

Team Collaboration

Role-aware project access. Built for agencies managing complex survey automation tools.

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§ Pricing

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