Open-End & Verbatim Coding Services
Turn open-ended survey comments into consistent, analysis-ready theme codes while keeping the original respondent verbatims. For market research agencies and insight teams, we can review your existing codeframe or discuss a new one, including multilingual responses, multiple mentions per answer and quality checks.
Coding assigns analytical labels to text. It is not software programming, data entry or audio transcription. Pricing, output format and reviewer checks are agreed for the actual dataset.
An original, illustrative coding example — no real respondent data shown.
How one open-ended response becomes coded survey data
The respondent's exact words remain the source evidence. A coding team assigns one or more categories from an agreed codeframe and leaves a way for the researcher to check the decisions. The following examples are fictional.
| Response ID | Original verbatim | Applied codes | Why? |
|---|---|---|---|
| R-028 | Delivery was late and support did not reply. | 101 · Delivery delay 204 · Poor support response | Two distinct improvement themes; multi-coded |
| R-029 | It arrived quickly, but delivery was expensive. | 103 · Delivery charges | Do not assign delay: the answer says delivery was quick |
| R-030 | Nothing in particular. | 997 · No suggested improvement | Explicit none, not a blank or uncodable entry |
| R-031 | Not sure. | 998 · Don't know | Keep separate from “none” and missing data |
What an effective verbatim codeframe actually contains
A codeframe or codebook specifies each theme, its numerical code, what counts, what does not, and examples to resolve ambiguity. A client can provide an existing scheme or request that one be developed from sample survey responses, subject to project scope.
Define the theme and evidence
Include comments about late delivery, waiting longer than promised or repeated delays.
Exclude: price complaints, where the delivery was on time. Example: “Delivery cost too much” should not get code 101.
Allow relevant multiple mentions
Include complaints about customer support not responding or failing to follow up.
Rule: A response may receive both 101 and 204 if it contains evidence of both. Define whether you are coding mentions, respondents or both.
Separate none, don't know and missing
“Nothing to improve”, “I don't know”, a genuinely blank field and a corrupted answer may need distinct values, depending on the client's coding specification.
Rule: Agree sentinel codes at project setup; do not assume these example values match your survey platform.
Version the codeframe
When new themes appear, record who approved new codes and whether earlier responses should be revisited.
Rule: Definitions and code-frame versions should remain clear enough for another coder or analyst to audit decisions.
Verbatim coding for real survey question types
Different questions require different counting, overlap and review rules. We don't apply one automatic code limit to every question.
Brand awareness and recall
Identify mentioned brands in unprompted recall, handle aliases or misspellings and separate distinct brands under the researcher's specified brand list.
Customer experience and NPS follow-ups
Group reasons behind ratings, such as delivery, cost, quality or communication, without confusing respondent-level and mention-level totals.
Product concept feedback
Code liked and disliked features, unmet needs and barriers. A single answer may contain both a positive and negative theme.
Advertising and creative testing
Organise spontaneous reactions to an advert, message or claim, recording themes like clarity, memorability and credibility only when supported by the answer.
Healthcare and B2B research
Preserve specialist terminology and distinguish clinical, professional or industry concepts that could be lost through generic keyword matching.
Multilingual open-end responses
Align equivalent themes across markets while retaining the original-language response and any separate translation fields requested for the analysis.
Quality control for coding open-ended responses
Reliable verbatim coding is more than passing answers through a keyword list. Briefing, sampling, review and edge-case handling should match the study's complexity and agreed quality process.
- Pilot sample: confirm whether an existing codeframe covers typical verbatims, then flag gaps.
- Coder instructions: document code definitions, inclusions, exclusions and overlapping themes.
- Consistency checks: agree the proportion of responses independently rechecked and how disagreements are resolved.
- Ambiguous replies: flag sarcasm, unclear references, mixed sentiment, misspellings and incomplete context.
- Version control: record code additions and whether historical entries require recoding.
- Client approval: identify who signs off the codeframe and final coding grid.
How multilingual verbatims are translated and coded
Translating all survey comments into English and applying a codeframe is not always equivalent to coding the original-language responses. The method should preserve meaning, respondent IDs and local context.
Original-language coding
Where appropriate and agreed, a coder who understands the source language can apply common or market-specific codes to the original verbatim. This may preserve nuances that are hard to convey in translation.
Translate, then code
For centralised analysis, first translate the response to a shared language, retain its ID and original text, and apply the codebook to the translated version. Flag ambiguous expressions for clarification.
Hybrid coding and review
Use bilingual checking for uncertain themes, idioms and culturally specific product or service descriptions. Document how concepts are mapped across markets and when an English label masks differences.
Do not merge data sources inadvertently: Keep question ID, respondent ID, market/language, raw verbatim, any translation, code columns and reviewer flags tied together. For translation rather than coding work, see market research translation. For audio-based research responses, see market research transcription.
What an analysis-ready coding delivery should include
Agree the output structure at the start. Typical research workflows may use Excel/CSV or a client-supplied platform import template; final file types depend on the actual project.
Respondent-level traceability
Original respondent and question IDs, source verbatim, translated verbatim if relevant, assigned codes and any agreed missing-data or reviewer flag fields.
Example columns: respondent_id · question_id · original_verbatim · translation_en · code_1 · code_2 · qa_flag
Definitions and review history
Code number, label, inclusion/exclusion notes, typical quotes and category/net grouping where used. Include version notes and any adjudicated exceptions as agreed.
Example columns: code_id · label · definition · include · exclude · examples · version
How to request open-end coding services
Provide a short brief and representative sample so the coding scope, review method, delivery and timetable can be assessed.
Describe the survey and questions
Number of responses, open-end question wording, languages, markets, research subject and whether a codeframe already exists.
Agree the codeframe and QA
Single versus multiple codes, categories, “other/none/don't know”, required recoding and independently checked samples.
Confirm the delivery structure
Provide the required Excel/CSV template or coding platform import specification, deadlines and the agreed review and approval procedure.
Open-end coding and verbatim coding FAQs
What is verbatim coding in market research?
Verbatim coding assigns consistent theme or category codes to respondents' original open-ended survey answers. These codes help analysts count and compare the topics mentioned while retaining the source text for review.
What is the difference between a codeframe and a coding grid?
A codeframe (codebook) defines the available codes, meanings and rules. A coding grid contains the actual respondent answers and the codes assigned to each answer.
Can one survey response receive several codes?
Yes, if the research design allows multi-coding. For example, a respondent complaining about late delivery and poor customer support can receive two different theme codes. The base for percentages must be agreed to avoid overstating respondent counts.
How do you handle “none”, “don't know” and blank answers?
They should not automatically be treated as equivalent. Specify separate codes for explicit “none”, uncertainty, missing responses and unusable text, following the client's analysis rules.
Can you create a new coding codeframe?
A project can begin with a sample of answers to develop or refine themes. The scope should include who approves definitions, when new codes may be added and whether earlier responses must be recoded.
Do you provide bilingual or multilingual verbatim coding?
You can enquire about coding survey responses in multiple languages. Agree whether the data will be coded in the source language, translated before coding or checked using a bilingual workflow.
Is verbatim coding the same as transcription?
No. Transcription turns audio into written words. Verbatim coding assigns analytical theme labels to an already written survey response or transcript excerpt. A project may require both stages.
Is verbatim coding automated with AI?
Automation and machine-assisted coding are possible techniques, but the service workflow, tools, human review and any automation should be agreed for the project. This page does not promise a particular AI platform or perfect automated accuracy.
Can the coded results be supplied in Excel or CSV?
Common deliverables include a respondent-level coding grid and a codebook in Excel or CSV or an agreed import format. Provide your preferred column layout and platform requirements before work begins.
How do you check coding consistency and quality?
A QA plan can specify coder briefing, pilot responses, independent sample checks and how disagreements are resolved. The extent of review and any formal agreement metric should be confirmed in the brief.
How much do open-end coding services cost?
Pricing depends on response volume and length, number of questions, languages, codeframe availability, multi-coding rules, QA effort and delivery format. Share the scope and a representative sample for assessment.
Get your verbatim coding brief reviewed
Tell us the survey size, languages, questions, current codeframe, QA and delivery format. Use the preserved enquiry form immediately below; avoid emailing identifiable participant data unnecessarily.
Open-end and verbatim coding enquiry
Send your survey coding brief
Include respondent count, open-end question count, source languages, coding-frame status, desired QA checks and file format. Share a redacted example if possible; confirm a secure transfer method before providing identifiable respondent data.