Why I built Wobidobi: fixing repetitive survey workflows
I built Wobidobi because recurring surveys are often treated as a series of disconnected forms.
A team creates a questionnaire, applies the branding, distributes it, collects responses—and then rebuilds much of the same workflow for the next client or survey wave.
The current Wobidobi MVP brings questionnaire creation, branding, link-based distribution, response collection, and results review into one workspace. It is deliberately focused on recurring feedback workflows, while also being designed to support a broader range of survey use cases, including more structured and professional research work used by agencies and teams.
The product is live, but still early. I’m now looking for the first teams or agencies willing to test it on one small real survey.
The question I’m trying to answer is simple: does a repeatable, branded workflow remove meaningful manual work, or do existing form tools already solve this well enough?
I’d especially value feedback from anyone who regularly runs client, UX, CX, employee, or research surveys.
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Comments (8)
Great to see a product from Kazakhstan, zemlyak! I wish I could help with feedback but I don't have a team or run research surveys at the moment. Google Forms covers my needs so far. You could try posting a request in the Feedback Exchange section of the community (top left corner), you might have better luck finding the right people there.
Thank you, Olga - and great to meet a fellow Kazakhstani here! Google Forms covering your current needs is useful feedback too: Wobidobi needs to earn its place when the workflow becomes recurring or client-facing. I’ll post a focused request in Feedback Exchange as you suggested.
Artem, the repeat piece is the real test here, not the first survey but the fifteenth one for a different client where you are rebuilding branding and structure you already built once. I run compliance surveys for my own business and the manual part that actually costs time is not filling out the form, it is remembering what changed since the last cycle and making sure nothing from last time got dropped. If Wobidobi can show someone what changed between survey waves instead of just storing another set of responses, that is the piece a generic form tool cannot fake. Do you already show that comparison across waves, or is that still on the list?
That comparison is not in the current MVP yet. Today Wobidobi helps reuse survey structures and workspace-level branding, but it does not show a structured change log between waves.
Your point is important: repeatability is not just cloning a survey—it is preserving the context of what changed and making sure nothing gets lost.
For your compliance surveys, which changes are most important to review: question wording, logic and settings, required fields, or something else? If you’re open to it, I’d value a short look at your process and could use one small cycle to define this workflow properly.
The recurring-workflow focus makes Wobidobi interesting. Existing form tools can collect responses well, but teams still spend time duplicating questionnaires, reapplying branding, organizing links, and preparing each new survey wave. I think the strongest validation would come from measuring how long an agency takes to launch a repeat survey with Wobidobi compared with its current process.
Starting with one real client survey is a sensible test. I’d be curious to see whether reusable templates, branding presets, and results organized across multiple waves become the features that make teams return. Wishing you luck finding your first testing partners!
Thank you, Jinny. That is exactly the test I should run.
For the first pilot, I’ll capture a baseline for the current process and compare time to launch, manual setup steps, and rework after review. Reusable templates and workspace-level branding already exist; organizing multiple waves as one evolving workflow is the part I now need to validate.
Your comment and Stacy’s point give me a much sharper pilot plan.
You asked whether a repeatable branded workflow removes meaningful manual work. Direct answer: yes, but not the work that stops people.
Rebuilding the shell each wave is annoying and cheap. Branding, distribution and a results view are 20 minutes in any form tool, and teams doing this quarterly have already templated around it. Writing the questions is the expensive part, and that cost repeats in full every wave no matter how good the workspace is.
I signed up just now, went through the create flow, got to adding questions one at a time, and stopped. Nothing was broken. It was the moment I was asked to do the hard part manually, and that is the part I expect a tool to draft. Editing 12 questions I did not write is 10 minutes. Writing them is an afternoon.
So on your positioning question: "repeatable branded workflow" is a real irritation but not a painful one. "Never write a survey from scratch again" is a different sentence, and the workflow you have built is what would make the drafting good, because it knows what the last wave asked.
Smaller thing: the first thing I saw on your landing page was $19/month, before I knew what the product did. Move the price under the explanation.
I launched WorkstationAI here today and I am after the same thing, honest reads on where people stop. Would value yours.
Thank you for actually signing up and identifying the exact point where you stopped. That is much more useful than a general opinion about the positioning.
I agree with your diagnosis of the first-run experience, although I see the recurring case slightly differently. A team should not have to write the same 12 questions again for every wave. Wobidobi should let them start from an existing questionnaire, preserve what changed, and help draft only what is new. But the current new-survey flow asks users to do too much manual work before they experience that value. Your test makes that very clear.
So I would frame the lesson as: “never rebuild a survey from scratch,” supported by importing, reuse, and assisted drafting—not necessarily replacing the entire product with an AI survey generator.
The pricing observation is fair too. Visitors should understand the problem and the workflow before they encounter the $19/month price.
I also opened WorkstationAI. The 71% versus 8% conversion finding is the strongest part of the page because it immediately explains why retaining application history matters. I’ll go through the actual flow and return the favour with the exact point where I hesitate or stop.
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