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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 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
Subscription
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← BackEN ▾v0.9.9
DesignTextScriptFlow
Save
1
2
3
4
5
6
7
8
9
10
11
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15
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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

Start for free without an account. Create 1-3 question quick opinion polls and share live results instantly.

OPScript

Write surveys as structured code. Faster than drag-and-drop for complex studies.

30+

Multilingual publishing

One survey, 30+ languages, unified dataset. No fragmented results.

Live Reports

Share updating result pages with clients while fieldwork is still running.

SAV · CSV · DOCX

Research-Ready Export

Export clean, structured data in SPSS, Word, and CSV — with stable variable naming, value labels, and codebook support.

Voice Responses

Respondents answer by voice. Transcribed with high accuracy. Higher completion rates.

Team Collaboration

Role-aware project access. Built for agencies running multiple client studies.

New to PublicOp? Start with a free QuickPoll — no account needed.
§ Pricing

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