Siamang
Product offering
What makes Siamang different?
Single pipeline vs. a myriad of disconnected products
Why It Matters:
When a study spans a fielding tool, a stats package, and Excel, the logic that ties them together lives in one analyst's manual steps, so when that person leaves or six months pass, the study & supporting analysis often can't be rebuilt the same way. For enterprise insights teams running high-stakes trackers and for academics facing replication scrutiny, having design, cleaning, weighting, and reporting in one codebase means the entire study can be re-run and trusted, not reconstructed from memory.
What is it about?
Having a uniform codebase for all your projects
Combining & testing a variety of 3rd party tools via app connectors
Building an easy & intuitive project hand-off workflow if you switch users
Owning your survey creation, distribution, collection, & analysis flow 0 to1
Re-launching & amending your existing survey set for a new study in minutes
Single pipeline vs. a myriad of disconnected products
Why It Matters:
When a study spans a fielding tool, a stats package, and Excel, the logic that ties them together lives in one analyst's manual steps, so when that person leaves or six months pass, the study & supporting analysis often can't be rebuilt the same way. For enterprise insights teams running high-stakes trackers and for academics facing replication scrutiny, having design, cleaning, weighting, and reporting in one codebase means the entire study can be re-run and trusted, not reconstructed from memory.
What is it about?
Having a uniform codebase for all your projects
Combining & testing a variety of 3rd party tools via app connectors
Building an easy & intuitive project hand-off workflow if you switch users
Owning your survey creation, distribution, collection, & analysis flow 0 to1
Re-launching & amending your existing survey set for a new study in minutes
Single pipeline vs. a myriad of disconnected products
Why It Matters:
When a study spans a fielding tool, a stats package, and Excel, the logic that ties them together lives in one analyst's manual steps, so when that person leaves or six months pass, the study & supporting analysis often can't be rebuilt the same way. For enterprise insights teams running high-stakes trackers and for academics facing replication scrutiny, having design, cleaning, weighting, and reporting in one codebase means the entire study can be re-run and trusted, not reconstructed from memory.
What is it about?
Having a uniform codebase for all your projects
Combining & testing a variety of 3rd party tools via app connectors
Building an easy & intuitive project hand-off workflow if you switch users
Owning your survey creation, distribution, collection, & analysis flow 0 to1
Re-launching & amending your existing survey set for a new study in minutes
Code-first analysis with analyst-native exports
Why It Matters:
Enterprise and academic analysts have deep existing investments in SPSS, Stata, and Excel-based deliverables, so a platform that ignores those formats forces a painful all-or-nothing migration. Siamang runs analysis next to the data but still exports clean .sav and Excel outputs, so teams gain reproducibility without abandoning the downstream tools, stakeholders, and skills they already depend on.
What is it about?
Ability to export your data to use with your existing analysis stackN
Accessing your data anytime via a hosted repository
Building with an array of pre-made solutions making your survey build faster
Navigating reproducibility crisis with ease
Continuously evolving data integration solutions to scrape the survey flows from your tools
Code-first analysis with analyst-native exports
Why It Matters:
Enterprise and academic analysts have deep existing investments in SPSS, Stata, and Excel-based deliverables, so a platform that ignores those formats forces a painful all-or-nothing migration. Siamang runs analysis next to the data but still exports clean .sav and Excel outputs, so teams gain reproducibility without abandoning the downstream tools, stakeholders, and skills they already depend on.
What is it about?
Ability to export your data to use with your existing analysis stackN
Accessing your data anytime via a hosted repository
Building with an array of pre-made solutions making your survey build faster
Navigating reproducibility crisis with ease
Continuously evolving data integration solutions to scrape the survey flows from your tools
Code-first analysis with analyst-native exports
Why It Matters:
Enterprise and academic analysts have deep existing investments in SPSS, Stata, and Excel-based deliverables, so a platform that ignores those formats forces a painful all-or-nothing migration. Siamang runs analysis next to the data but still exports clean .sav and Excel outputs, so teams gain reproducibility without abandoning the downstream tools, stakeholders, and skills they already depend on.
What is it about?
Ability to export your data to use with your existing analysis stackN
Accessing your data anytime via a hosted repository
Building with an array of pre-made solutions making your survey build faster
Navigating reproducibility crisis with ease
Continuously evolving data integration solutions to scrape the survey flows from your tools
Deployable environments for repeatable analyses
Why It Matters:
Digital transformation enables organizations to operate more efficiently, respond faster to market changes, and deliver enhanced experiences to customers. By embracing technology strategically, businesses can unlock new revenue streams, improve agility, and achieve long-term growth.
What is it about?
Having each survey deploy to distinct environments to pilot test before scaling survey distribution
Building-and-deploying from a commit tag
Validating your survey before going live
Utilizing repeatable re-fielding for tracker waves
Easy tracking survey status and build logs
Deployable environments for repeatable analyses
Why It Matters:
Digital transformation enables organizations to operate more efficiently, respond faster to market changes, and deliver enhanced experiences to customers. By embracing technology strategically, businesses can unlock new revenue streams, improve agility, and achieve long-term growth.
What is it about?
Having each survey deploy to distinct environments to pilot test before scaling survey distribution
Building-and-deploying from a commit tag
Validating your survey before going live
Utilizing repeatable re-fielding for tracker waves
Easy tracking survey status and build logs
Deployable environments for repeatable analyses
Why It Matters:
Digital transformation enables organizations to operate more efficiently, respond faster to market changes, and deliver enhanced experiences to customers. By embracing technology strategically, businesses can unlock new revenue streams, improve agility, and achieve long-term growth.
What is it about?
Having each survey deploy to distinct environments to pilot test before scaling survey distribution
Building-and-deploying from a commit tag
Validating your survey before going live
Utilizing repeatable re-fielding for tracker waves
Easy tracking survey status and build logs
Version control and audit trail built in
Why It Matters:
Enterprise research increasingly has to withstand compliance review and internal challenge ("why did the number move this quarter?"), and academic work has to survive peer review and data-integrity checks. Both require knowing exactly what changed, when, and by whom. A built-in commit history and diffing turns "we think the questionnaire changed" into a precise, defensible record, which neither Qualtrics nor SurveyMonkey can produce.
What is it about?
Intuitive change tracking with descriptive change messages
Diffable, defensible audit trail for code reviewers & easy reporting
Data integrity guarantee via lint and validation results surfacing against the code
Survey and analysis are tracked together via a single uniform repo
Study full evolution & change history to minimize human-driven error
Version control and audit trail built in
Why It Matters:
Enterprise research increasingly has to withstand compliance review and internal challenge ("why did the number move this quarter?"), and academic work has to survive peer review and data-integrity checks. Both require knowing exactly what changed, when, and by whom. A built-in commit history and diffing turns "we think the questionnaire changed" into a precise, defensible record, which neither Qualtrics nor SurveyMonkey can produce.
What is it about?
Intuitive change tracking with descriptive change messages
Diffable, defensible audit trail for code reviewers & easy reporting
Data integrity guarantee via lint and validation results surfacing against the code
Survey and analysis are tracked together via a single uniform repo
Study full evolution & change history to minimize human-driven error
Version control and audit trail built in
Why It Matters:
Enterprise research increasingly has to withstand compliance review and internal challenge ("why did the number move this quarter?"), and academic work has to survive peer review and data-integrity checks. Both require knowing exactly what changed, when, and by whom. A built-in commit history and diffing turns "we think the questionnaire changed" into a precise, defensible record, which neither Qualtrics nor SurveyMonkey can produce.
What is it about?
Intuitive change tracking with descriptive change messages
Diffable, defensible audit trail for code reviewers & easy reporting
Data integrity guarantee via lint and validation results surfacing against the code
Survey and analysis are tracked together via a single uniform repo
Study full evolution & change history to minimize human-driven error
Our Works
Our Success Stories
Discover how we’ve helped businesses and organizations achieve remarkable results.
Workflow Optimization
Global Retailer
Global Retailer Cuts Tracker Wave Turnaround by 60 %
A multinational retail brand consolidated its fragmented quarterly NPS and brand tracker into a single reproducible Siamang workflow.
Progress Tracking
Academic credibility
Research Group Enhances Reproducibility of Validated Survey Publications
A university social science group adopted Siamang to make its longitudinal survey research fully reproducible for peer review.
Building consistency
Public Service
Government Agency Delivers Civic Omnibus 40 % Faster
A public sector research unit moved its recurring civic trust omnibus survey onto Siamang for rigor and auditability.
Ready to enhance your market research?
Try our demo and reach out to our team to discover how Siamang can streamline your market research flow, optimize survey flow operations performance, and adapt our platform solution to meet your specific needs.
Ready to enhance your market research?
Try our demo and reach out to our team to discover how Siamang can streamline your market research flow, optimize survey flow operations performance, and adapt our platform solution to meet your specific needs.
Ready to enhance your market research?
Try our demo and reach out to our team to discover how Siamang can streamline your market research flow, optimize survey flow operations performance, and adapt our platform solution to meet your specific needs.
Try for FREE