#online survey software

[kingdrawcse]

All Chemistry Lovers, Share Your Thoughts on the KingDraw App

🔗https://forms.gle/PDdY7xU5RaP6CGav7

Your Feedback Matters!

We sincerely hope that you enjoyed your recent experience with the KingDraw App and its chemistry features while teaching.

Your input will play an instrumental role in our ongoing efforts to enhance our services and introduce exciting new features.

[streakeye]

10 Best Survey Analysis Software in 2025

The best survey tools of 2025 in full:

Why you can trust TechRadar we spend hours testing every product or service we review, so you can be sure you’re buying the best. Find out more about how we test.

One of the most successful survey solutions around with over 40 million registered customers, Survey Monkey offers a comprehensive questionnaire building solution and metric analysis tools.

It allows those without any coding skills to create complex question sets and then process the responses easily and efficiently.

You can sign up for free and create a survey within minutes. However, you can’t access the data collected in CSV or Excel XLS until you’ve signed up for a paid option. And the price goes up more if you expect more than 1000 responses per month or want to use any of the sophisticated branching and pipeline features.

A number of pricing tiers are available, with Team Advantage being the cheapest. This allows control over survey sharing, team analysis, shared asset library, custom graphics, as well as easy data exporting.

The next tier, Team Premier, adds features such as benchmarks, industry tools, and multilingual surveys. The Enterprise plan offers extra security and compliance features, as well as admin management and migration as required.

1. Streakeye

Where other survey tools focus on how complicated a questionnaire can be, or how much data you can extract, Streakeye takes a wholly different approach.

Its focus is user interaction, believing that the way to get the best responses is to engage the end user and through that get better responses. The Typeform methodology appears to work well, getting on average four times the completion rate over what the industry considers standard.

Service begins with the Essentials package, which offers a basic range of features. Upgrade to the Professional plan and not only do you get up to 5,000 responses but also unlimited logic jumps as well as conversion tracking and HubSpot integration. However, if paid yearly the Professional plan is discounted.

Each of these is restricted to a single user, though Enterprise deals are available.

Visit Now : www.streakeye.com

2. Typeform

Where other survey tools focus on how complicated a questionnaire can be, or how much data you can extract, Typeform takes a wholly different approach.

Its focus is user interaction, believing that the way to get the best responses is to engage the end user and through that get better responses. The Typeform methodology appears to work well, getting on average four times the completion rate over what the industry considers standard.

Service begins with the Essentials package, which offers a basic range of features. Upgrade to the Professional plan and not only do you get up to 5,000 responses but also unlimited logic jumps as well as conversion tracking and HubSpot integration. However, if paid yearly the Professional plan is discounted.

Each of these is restricted to a single user, though Enterprise deals are available.

3. JotForm

JotForm is an online web and email survey building solution that aims to undercut Typeform while being even easier to use.

A coding-free solution that most marketing people should be able to master quickly and generate the leads or feedback that they need.

In the past 12 years, JotForm has built a customer base of 2 million regular customers, creating forms in 177 countries and 12 languages.

A Start plan is free to use, and offers up to 100 submissions, 100MB of online storage, as well as 5 forms and 1,000 form views. Paid plans - when paid yearly - start with the Bronze and increases monthly submissions to 1,000, and as well as cloud storage space to 1GB, as well as 25 forms and 10,000 views.

The Silver plan introduces HPIAA compliance as well as increasing views to 10,000, storage to 10GB, up to 100 forms, and unlimited views. The Gold plan increases submissions to 100,000, 100GB of storage, and unlimited forms and views.

4. Ask Nicely

AskNicely’s unique selling point is that it can collect live information based on the Net Promoter Score (NPS). NPS is an excellent way to gauge the strength of customer relationships for a business, and this tool was designed to track that dynamic.

It also integrates with many customer workflow options that include Salesforce, Hubspot, Slack, Zendesk, Mail Chimp and Zapier amongst many others.

With these connections, surveys can target specific customer groups, and their reaction to new products and services can be collected to present real-time to live dashboards.

AskNicely used to advertise plans that were expensive but packed with features - however, the website no longer displays pricing information and instead asks for potential customers to contact them directly for a quote.

5. Google Forms

Many business people don’t need anything exotic or complicated. Maybe a simple form to ask their customers if they enjoyed the last seminar and how to make it better is sufficient.

For them, the free to use Google Forms is a perfectly adequate tool that requires little skill or experience to use, and is available for free as a personal edition or as part of the G Suite for business platform.

Responses are stored automatically into Google Sheets, allowing them to be easily transferred to an Excel spreadsheet or a database later.

The key weakness of Google Forms is that unless recipients have a Google Account and are willing to log in with it, they can fill out a survey multiple times.

As it is free before you spend big, it might be worth seeing if it will do enough, or at least hint what bought product features you might want.

6. Formstack

Formstack is a good example of a survey product with a very wide remit. The online form tool allows the creation of sophisticated surveys and their responses to be data harvested. But it can also be used for straightforward customer feedback panels on websites and social media.

Many companies use it to process leads and analyze their rate of conversion by integrating it into other sales management solutions. It works with Mail Chimp to enable targeted information gathering and feedback from existing customer databases.

As a survey tool, it works well enough, though it doesn’t have the templates that some competitor products offer.

Costing has four levels; Bronze, Silver, Gold and Platinum. The Bronze package offers a single user solution with basic forms and no application integration. At the other end of this scale, the Platinum plan has a multi-user license with the scope for multiple forms and thousands of submissions per month.

[poll-lite]

What Are Customer Survey Platforms and Why Does Your Business Need One?

Understanding your customers is essential for growing any business, and customer survey platforms like Start.Poll-Lite make this easy and efficient. With tools designed to gather valuable feedback, these platforms enable you to gain insights directly from customers, making it easier to fine-tune services and enhance satisfaction. But what exactly do customer survey platforms offer?

What Are Customer Survey Platforms?

Customer survey platforms are specialized tools designed to collect feedback from your audience. By using these platforms, businesses can assess customer needs, preferences, and satisfaction levels, ultimately supporting data-driven strategies to improve products and services.

Benefits of Using Customer Survey Platforms

Enhanced Customer Feedback: Gain direct insights from your customers about what they love and where they see room for improvement.

Customizable Surveys: Platforms like Start.Poll-Lite allow you to create surveys tailored to your brand, ensuring that questions resonate with your audience.

Quick and Efficient Data Collection: Customer survey platforms streamline the process, saving time and resources on traditional data gathering.

Real-Time Analytics: With advanced analytics, you can monitor feedback as it comes in, helping you respond to customer needs promptly.

Improved Customer Relationships: Showing that you value customer input fosters trust and loyalty, strengthening brand relationships.

Why Choose Start.Poll-Lite for Customer Surveys?

User-Friendly Design: Start.Poll-Lite’s simple interface makes it easy to create, distribute, and analyze surveys.

Branded Experience: Customize the look and feel of surveys to align with your brand identity, creating a cohesive experience for customers.

Detailed Analytics: Get actionable insights through Start.Poll-Lite’s analytics dashboard, helping you make informed decisions based on real data.

Investing in customer survey platforms like Start.Poll-Lite not only makes gathering feedback easier but also empowers businesses to make decisions that reflect customer needs. By embracing these platforms, you can continuously improve your services, foster loyalty, and maintain a customer-focused approach to growth.

[sogolytics]

Stay or go? Find out what's driving churn with an Employee Exit #Survey or flip the conversation with an Employee Stay Survey! Start with a #surveytemplate and start getting answers!

[vcqrupvt]

How To Create a Simple Customer Referral Program?

Counterfeit products are harmful for buyers, businesses and economies worldwide. To combat this issue barcode scanners are emerging as a powerful tool in the fight against counterfeit goods.

[marketxcel]

5 Methods of Data Collection for Quantitative Research

Discover five powerful techniques for gathering quantitative data in research, essential for uncovering trends, patterns, and correlations. Explore proven methodologies that empower researchers to collect and analyze data effectively.

[4chan]

Still standing

On the afternoon of April 14th, a hacker using a UK IP address exploited an out-of-date software package on one of 4chan's servers, via a bogus PDF upload. With this entry point, they were eventually able to gain access to one of 4chan's servers, including database access and access to our own administrative dashboard. The hacker spent several hours exfiltrating database tables and much of 4chan's source code. When they had finished downloading what they wanted, they began to vandalize 4chan at which point moderators became aware and 4chan's servers were halted, preventing further access.

Over the following days, 4chan's development team surveyed the damage, which to be frank, was catastrophic. While not all of our servers were breached, the most important one was, and it was due to simply not updating old operating systems and code in a timely fashion. Ultimately this problem was caused by having insufficient skilled man-hours available to update our code and infrastructure, and being starved of money for years by advertisers, payment providers, and service providers who had succumbed to external pressure campaigns.

We had begun a process of speccing new servers in late 2023. As many have suspected, until that time 4chan had been running on a set of servers purchased second-hand by moot a few weeks before his final Q&A, as prior to then we simply were not in a financial position to consider such a large purchase. Advertisers and payment providers willing to work with 4chan are rare, and are quickly pressured by activists into cancelling their services. Putting together the money for new equipment took nearly a decade.

In April of 2024 we had agreed on specs and began looking for possible suppliers. Money is always tight for us, and few companies were willing to sell us servers, so actually buying the hardware wasn’t a trivial problem. We managed to finalize a purchase in June, and had the new servers racked and online in July. Over the next few months we slowly moved functionality onto the new servers, but we had still been relying on the old servers for key functions. Everything about this process took much longer than intended, which is a recurring theme in this debacle. The free time that 4chan's development team had available to dedicate to 4chan was insufficient to update our software and infrastructure fast enough, and our luck ran out.

However, we have not been idle during our nearly two weeks of downtime. The server that was breached has been replaced, with the operating system and code updated to the latest versions. PDF uploads have been temporarily disabled on those boards that supported them, but they will be back in the near future. One slow but much beloved board, /f/ - Flash, will not be returning however, as there is no realistic way to prevent similar exploits using .swf files. We are bringing on additional volunteer developers to help keep up with the workload, and our team of volunteer janitors & moderators remains united despite the grievous violations some have suffered to their personal privacy.

4chan is back. No other website can replace it, or this community. No matter how hard it is, we are not giving up.

[figdays]

Hi!

My friend has reached out to me to share this PhD students survey. It's about art styles and realism in video games, if anyone is interested in participating please check out the link below.

Really appreciate anyone who takes the time to participate or even just share! Thanks!

"My name is Alexandra Sumpton and I am conducting a study exploring how graphical styles within virtual reality can effect participant responses. The survey involves the plotting of characters on McCloud's graph of stylisation. Please do your best to answer the following questions, there are no wrong answers".

[mostlysignssomeportents]

AI “art” and uncanniness

TOMORROW (May 14), I'm on a livecast about AI AND ENSHITTIFICATION with TIM O'REILLY; on TOMORROW (May 15), I'm in NORTH HOLLYWOOD for a screening of STEPHANIE KELTON'S FINDING THE MONEY; FRIDAY (May 17), I'm at the INTERNET ARCHIVE in SAN FRANCISCO to keynote the 10th anniversary of the AUTHORS ALLIANCE.

When it comes to AI art (or "art"), it's hard to find a nuanced position that respects creative workers' labor rights, free expression, copyright law's vital exceptions and limitations, and aesthetics.

I am, on balance, opposed to AI art, but there are some important caveats to that position. For starters, I think it's unequivocally wrong – as a matter of law – to say that scraping works and training a model with them infringes copyright. This isn't a moral position (I'll get to that in a second), but rather a technical one.

Break down the steps of training a model and it quickly becomes apparent why it's technically wrong to call this a copyright infringement. First, the act of making transient copies of works – even billions of works – is unequivocally fair use. Unless you think search engines and the Internet Archive shouldn't exist, then you should support scraping at scale:

https://pluralistic.net/2023/09/17/how-to-think-about-scraping/

And unless you think that Facebook should be allowed to use the law to block projects like Ad Observer, which gathers samples of paid political disinformation, then you should support scraping at scale, even when the site being scraped objects (at least sometimes):

https://pluralistic.net/2021/08/06/get-you-coming-and-going/#potemkin-research-program

After making transient copies of lots of works, the next step in AI training is to subject them to mathematical analysis. Again, this isn't a copyright violation.

Making quantitative observations about works is a longstanding, respected and important tool for criticism, analysis, archiving and new acts of creation. Measuring the steady contraction of the vocabulary in successive Agatha Christie novels turns out to offer a fascinating window into her dementia:

https://www.theguardian.com/books/2009/apr/03/agatha-christie-alzheimers-research

Programmatic analysis of scraped online speech is also critical to the burgeoning formal analyses of the language spoken by minorities, producing a vibrant account of the rigorous grammar of dialects that have long been dismissed as "slang":

https://www.researchgate.net/publication/373950278_Lexicogrammatical_Analysis_on_African-American_Vernacular_English_Spoken_by_African-Amecian_You-Tubers

Since 1988, UCL Survey of English Language has maintained its "International Corpus of English," and scholars have plumbed its depth to draw important conclusions about the wide variety of Englishes spoken around the world, especially in postcolonial English-speaking countries:

https://www.ucl.ac.uk/english-usage/projects/ice.htm

The final step in training a model is publishing the conclusions of the quantitative analysis of the temporarily copied documents as software code. Code itself is a form of expressive speech – and that expressivity is key to the fight for privacy, because the fact that code is speech limits how governments can censor software:

https://www.eff.org/deeplinks/2015/04/remembering-case-established-code-speech/

Are models infringing? Well, they certainly can be. In some cases, it's clear that models "memorized" some of the data in their training set, making the fair use, transient copy into an infringing, permanent one. That's generally considered to be the result of a programming error, and it could certainly be prevented (say, by comparing the model to the training data and removing any memorizations that appear).

Not every seeming act of memorization is a memorization, though. While specific models vary widely, the amount of data from each training item retained by the model is very small. For example, Midjourney retains about one byte of information from each image in its training data. If we're talking about a typical low-resolution web image of say, 300kb, that would be one three-hundred-thousandth (0.0000033%) of the original image.

Typically in copyright discussions, when one work contains 0.0000033% of another work, we don't even raise the question of fair use. Rather, we dismiss the use as de minimis (short for de minimis non curat lex or "The law does not concern itself with trifles"):

https://en.wikipedia.org/wiki/De_minimis

Busting someone who takes 0.0000033% of your work for copyright infringement is like swearing out a trespassing complaint against someone because the edge of their shoe touched one blade of grass on your lawn.

But some works or elements of work appear many times online. For example, the Getty Images watermark appears on millions of similar images of people standing on red carpets and runways, so a model that takes even in infinitesimal sample of each one of those works might still end up being able to produce a whole, recognizable Getty Images watermark.

The same is true for wire-service articles or other widely syndicated texts: there might be dozens or even hundreds of copies of these works in training data, resulting in the memorization of long passages from them.

This might be infringing (we're getting into some gnarly, unprecedented territory here), but again, even if it is, it wouldn't be a big hardship for model makers to post-process their models by comparing them to the training set, deleting any inadvertent memorizations. Even if the resulting model had zero memorizations, this would do nothing to alleviate the (legitimate) concerns of creative workers about the creation and use of these models.

So here's the first nuance in the AI art debate: as a technical matter, training a model isn't a copyright infringement. Creative workers who hope that they can use copyright law to prevent AI from changing the creative labor market are likely to be very disappointed in court:

https://www.hollywoodreporter.com/business/business-news/sarah-silverman-lawsuit-ai-meta-1235669403/

But copyright law isn't a fixed, eternal entity. We write new copyright laws all the time. If current copyright law doesn't prevent the creation of models, what about a future copyright law?

Well, sure, that's a possibility. The first thing to consider is the possible collateral damage of such a law. The legal space for scraping enables a wide range of scholarly, archival, organizational and critical purposes. We'd have to be very careful not to inadvertently ban, say, the scraping of a politician's campaign website, lest we enable liars to run for office and renege on their promises, while they insist that they never made those promises in the first place. We wouldn't want to abolish search engines, or stop creators from scraping their own work off sites that are going away or changing their terms of service.

Now, onto quantitative analysis: counting words and measuring pixels are not activities that you should need permission to perform, with or without a computer, even if the person whose words or pixels you're counting doesn't want you to. You should be able to look as hard as you want at the pixels in Kate Middleton's family photos, or track the rise and fall of the Oxford comma, and you shouldn't need anyone's permission to do so.

Finally, there's publishing the model. There are plenty of published mathematical analyses of large corpuses that are useful and unobjectionable. I love me a good Google n-gram:

https://books.google.com/ngrams/graph?content=fantods%2C+heebie-jeebies&year_start=1800&year_end=2019&corpus=en-2019&smoothing=3

And large language models fill all kinds of important niches, like the Human Rights Data Analysis Group's LLM-based work helping the Innocence Project New Orleans' extract data from wrongful conviction case files:

https://hrdag.org/tech-notes/large-language-models-IPNO.html

So that's nuance number two: if we decide to make a new copyright law, we'll need to be very sure that we don't accidentally crush these beneficial activities that don't undermine artistic labor markets.

This brings me to the most important point: passing a new copyright law that requires permission to train an AI won't help creative workers get paid or protect our jobs.

Getty Images pays photographers the least it can get away with. Publishers contracts have transformed by inches into miles-long, ghastly rights grabs that take everything from writers, but still shifts legal risks onto them:

https://pluralistic.net/2022/06/19/reasonable-agreement/

Publishers like the New York Times bitterly oppose their writers' unions:

https://actionnetwork.org/letters/new-york-times-stop-union-busting

These large corporations already control the copyrights to gigantic amounts of training data, and they have means, motive and opportunity to license these works for training a model in order to pay us less, and they are engaged in this activity right now:

https://www.nytimes.com/2023/12/22/technology/apple-ai-news-publishers.html

Big games studios are already acting as though there was a copyright in training data, and requiring their voice actors to begin every recording session with words to the effect of, "I hereby grant permission to train an AI with my voice" and if you don't like it, you can hit the bricks:

https://www.vice.com/en/article/5d37za/voice-actors-sign-away-rights-to-artificial-intelligence

If you're a creative worker hoping to pay your bills, it doesn't matter whether your wages are eroded by a model produced without paying your employer for the right to do so, or whether your employer got to double dip by selling your work to an AI company to train a model, and then used that model to fire you or erode your wages:

https://pluralistic.net/2023/02/09/ai-monkeys-paw/#bullied-schoolkids

Individual creative workers rarely have any bargaining leverage over the corporations that license our copyrights. That's why copyright's 40-year expansion (in duration, scope, statutory damages) has resulted in larger, more profitable entertainment companies, and lower payments – in real terms and as a share of the income generated by their work – for creative workers.

As Rebecca Giblin and I write in our book Chokepoint Capitalism, giving creative workers more rights to bargain with against giant corporations that control access to our audiences is like giving your bullied schoolkid extra lunch money – it's just a roundabout way of transferring that money to the bullies:

https://pluralistic.net/2022/08/21/what-is-chokepoint-capitalism/

There's an historical precedent for this struggle – the fight over music sampling. 40 years ago, it wasn't clear whether sampling required a copyright license, and early hip-hop artists took samples without permission, the way a horn player might drop a couple bars of a well-known song into a solo.

Many artists were rightfully furious over this. The "heritage acts" (the music industry's euphemism for "Black people") who were most sampled had been given very bad deals and had seen very little of the fortunes generated by their creative labor. Many of them were desperately poor, despite having made millions for their labels. When other musicians started making money off that work, they got mad.

In the decades that followed, the system for sampling changed, partly through court cases and partly through the commercial terms set by the Big Three labels: Sony, Warner and Universal, who control 70% of all music recordings. Today, you generally can't sample without signing up to one of the Big Three (they are reluctant to deal with indies), and that means taking their standard deal, which is very bad, and also signs away your right to control your samples.

So a musician who wants to sample has to sign the bad terms offered by a Big Three label, and then hand $500 out of their advance to one of those Big Three labels for the sample license. That $500 typically doesn't go to another artist – it goes to the label, who share it around their executives and investors. This is a system that makes every artist poorer.

But it gets worse. Putting a price on samples changes the kind of music that can be economically viable. If you wanted to clear all the samples on an album like Public Enemy's "It Takes a Nation of Millions To Hold Us Back," or the Beastie Boys' "Paul's Boutique," you'd have to sell every CD for $150, just to break even:

https://memex.craphound.com/2011/07/08/creative-license-how-the-hell-did-sampling-get-so-screwed-up-and-what-the-hell-do-we-do-about-it/

Sampling licenses don't just make every artist financially worse off, they also prevent the creation of music of the sort that millions of people enjoy. But it gets even worse. Some older, sample-heavy music can't be cleared. Most of De La Soul's catalog wasn't available for 15 years, and even though some of their seminal music came back in March 2022, the band's frontman Trugoy the Dove didn't live to see it – he died in February 2022:

https://www.vulture.com/2023/02/de-la-soul-trugoy-the-dove-dead-at-54.html

This is the third nuance: even if we can craft a model-banning copyright system that doesn't catch a lot of dolphins in its tuna net, it could still make artists poorer off.

Back when sampling started, it wasn't clear whether it would ever be considered artistically important. Early sampling was crude and experimental. Musicians who trained for years to master an instrument were dismissive of the idea that clicking a mouse was "making music." Today, most of us don't question the idea that sampling can produce meaningful art – even musicians who believe in licensing samples.

Having lived through that era, I'm prepared to believe that maybe I'll look back on AI "art" and say, "damn, I can't believe I never thought that could be real art."

But I wouldn't give odds on it.

I don't like AI art. I find it anodyne, boring. As Henry Farrell writes, it's uncanny, and not in a good way:

https://www.programmablemutter.com/p/large-language-models-are-uncanny

Farrell likens the work produced by AIs to the movement of a Ouija board's planchette, something that "seems to have a life of its own, even though its motion is a collective side-effect of the motions of the people whose fingers lightly rest on top of it." This is "spooky-action-at-a-close-up," transforming "collective inputs … into apparently quite specific outputs that are not the intended creation of any conscious mind."

Look, art is irrational in the sense that it speaks to us at some non-rational, or sub-rational level. Caring about the tribulations of imaginary people or being fascinated by pictures of things that don't exist (or that aren't even recognizable) doesn't make any sense. There's a way in which all art is like an optical illusion for our cognition, an imaginary thing that captures us the way a real thing might.

But art is amazing. Making art and experiencing art makes us feel big, numinous, irreducible emotions. Making art keeps me sane. Experiencing art is a precondition for all the joy in my life. Having spent most of my life as a working artist, I've come to the conclusion that the reason for this is that art transmits an approximation of some big, numinous irreducible emotion from an artist's mind to our own. That's it: that's why art is amazing.

AI doesn't have a mind. It doesn't have an intention. The aesthetic choices made by AI aren't choices, they're averages. As Farrell writes, "LLM art sometimes seems to communicate a message, as art does, but it is unclear where that message comes from, or what it means. If it has any meaning at all, it is a meaning that does not stem from organizing intention" (emphasis mine).

Farrell cites Mark Fisher's The Weird and the Eerie, which defines "weird" in easy to understand terms ("that which does not belong") but really grapples with "eerie."

For Fisher, eeriness is "when there is something present where there should be nothing, or is there is nothing present when there should be something." AI art produces the seeming of intention without intending anything. It appears to be an agent, but it has no agency. It's eerie.

Fisher talks about capitalism as eerie. Capital is "conjured out of nothing" but "exerts more influence than any allegedly substantial entity." The "invisible hand" shapes our lives more than any person. The invisible hand is fucking eerie. Capitalism is a system in which insubstantial non-things – corporations – appear to act with intention, often at odds with the intentions of the human beings carrying out those actions.

So will AI art ever be art? I don't know. There's a long tradition of using random or irrational or impersonal inputs as the starting point for human acts of artistic creativity. Think of divination:

https://pluralistic.net/2022/07/31/divination/

Or Brian Eno's Oblique Strategies:

http://stoney.sb.org/eno/oblique.html

I love making my little collages for this blog, though I wouldn't call them important art. Nevertheless, piecing together bits of other peoples' work can make fantastic, important work of historical note:

https://www.johnheartfield.com/John-Heartfield-Exhibition/john-heartfield-art/famous-anti-fascist-art/heartfield-posters-aiz

Even though painstakingly cutting out tiny elements from others' images can be a meditative and educational experience, I don't think that using tiny scissors or the lasso tool is what defines the "art" in collage. If you can automate some of this process, it could still be art.

Here's what I do know. Creating an individual bargainable copyright over training will not improve the material conditions of artists' lives – all it will do is change the relative shares of the value we create, shifting some of that value from tech companies that hate us and want us to starve to entertainment companies that hate us and want us to starve.

As an artist, I'm foursquare against anything that stands in the way of making art. As an artistic worker, I'm entirely committed to things that help workers get a fair share of the money their work creates, feed their families and pay their rent.

I think today's AI art is bad, and I think tomorrow's AI art will probably be bad, but even if you disagree (with either proposition), I hope you'll agree that we should be focused on making sure art is legal to make and that artists get paid for it.

Just because copyright won't fix the creative labor market, it doesn't follow that nothing will. If we're worried about labor issues, we can look to labor law to improve our conditions. That's what the Hollywood writers did, in their groundbreaking 2023 strike:

https://pluralistic.net/2023/10/01/how-the-writers-guild-sunk-ais-ship/

Now, the writers had an advantage: they are able to engage in "sectoral bargaining," where a union bargains with all the major employers at once. That's illegal in nearly every other kind of labor market. But if we're willing to entertain the possibility of getting a new copyright law passed (that won't make artists better off), why not the possibility of passing a new labor law (that will)? Sure, our bosses won't lobby alongside of us for more labor protection, the way they would for more copyright (think for a moment about what that says about who benefits from copyright versus labor law expansion).

But all workers benefit from expanded labor protection. Rather than going to Congress alongside our bosses from the studios and labels and publishers to demand more copyright, we could go to Congress alongside every kind of worker, from fast-food cashiers to publishing assistants to truck drivers to demand the right to sectoral bargaining. That's a hell of a coalition.

And if we do want to tinker with copyright to change the way training works, let's look at collective licensing, which can't be bargained away, rather than individual rights that can be confiscated at the entrance to our publisher, label or studio's offices. These collective licenses have been a huge success in protecting creative workers:

https://pluralistic.net/2023/02/26/united-we-stand/

Then there's copyright's wildest wild card: The US Copyright Office has repeatedly stated that works made by AIs aren't eligible for copyright, which is the exclusive purview of works of human authorship. This has been affirmed by courts:

https://pluralistic.net/2023/08/20/everything-made-by-an-ai-is-in-the-public-domain/

Neither AI companies nor entertainment companies will pay creative workers if they don't have to. But for any company contemplating selling an AI-generated work, the fact that it is born in the public domain presents a substantial hurdle, because anyone else is free to take that work and sell it or give it away.

Whether or not AI "art" will ever be good art isn't what our bosses are thinking about when they pay for AI licenses: rather, they are calculating that they have so much market power that they can sell whatever slop the AI makes, and pay less for the AI license than they would make for a human artist's work. As is the case in every industry, AI can't do an artist's job, but an AI salesman can convince an artist's boss to fire the creative worker and replace them with AI:

https://pluralistic.net/2024/01/29/pay-no-attention/#to-the-little-man-behind-the-curtain

They don't care if it's slop – they just care about their bottom line. A studio executive who cancels a widely anticipated film prior to its release to get a tax-credit isn't thinking about artistic integrity. They care about one thing: money. The fact that AI works can be freely copied, sold or given away may not mean much to a creative worker who actually makes their own art, but I assure you, it's the only thing that matters to our bosses.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/05/13/spooky-action-at-a-close-up/#invisible-hand

[streakeye]

The Best Online Survey Apps in 2025

The Best Online Survey Apps in 2025: Find the Perfect Tool for Your Needs

In today’s digital world, online surveys are a must-have for gathering feedback, conducting market research, or understanding customer satisfaction. But with so many survey tools out there, how do you choose the right one for your needs?

This article breaks down the 9 best online / offline survey apps of 2025, including Streakeye, SurveyMonkey, and other top competitors. Whether you’re a business owner, researcher, or just someone looking to collect opinions, we’ve got you covered.

Why Use Online Survey Tools?

Online survey tools make it easy to collect and analyze data. Here’s why they’re so popular:

Easy to use: Most platforms have drag-and-drop builders and pre-made templates.

Affordable: Many tools offer free plans or budget-friendly pricing.

Powerful analytics: Get insights from your data with charts, graphs, and AI-driven analysis.

Accessible: Share surveys via email, social media, or embed them directly on your website.

Now, let’s dive into the top 9 online survey apps of 2025.

1. Streakeye

Website: www.streakeye.com Streakeye is leading the pack in 2025, thanks to its user-friendly design and powerful features.

Why Choose Streakeye?

Advanced analytics: Track responses in real-time and use AI tools to spot trends and give real time alerts if interviewers are not adhered to the defined process.

Customizable templates: Create surveys tailored to your industry or needs.

Multichannel distribution: Share surveys via email, SMS, or embed them on your website.

Scripting : Single script can work as CATI, CAPI and Online.

Data privacy: Streakeye prioritizes security, making it a trusted choice for businesses.

Best for: Businesses and researchers who want a comprehensive, easy-to-use survey tool.

2. SurveyMonkey

Website: www.surveymonkey.com A household name in the survey world, SurveyMonkey continues to impress in 2025.

Why Choose SurveyMonkey?

Quick surveys: Create surveys in minutes with drag-and-drop tools.

Professional templates: Choose from over 1,000 templates.

Real-time results: Monitor responses as they come in.

Best for: Businesses of all sizes looking for a reliable, feature-rich survey tool.

3. SurveySparrow

Website: www.surveysparrow.com SurveySparrow stands out with its conversational, chat-like surveys.

Why Choose SurveySparrow?

Engaging interface: Surveys feel like a conversation, boosting response rates.

Offline mode: Collect data even without an internet connection.

Custom branding: Personalize surveys to match your brand.

Best for: Companies focused on improving customer engagement and response rates.

4. Dooblo SurveyToGo

Website: www.dooblo.com Dooblo is a top choice for mobile-friendly surveys.

Why Choose Dooblo?

Mobile-optimized: Perfect for collecting feedback from on-the-go users.

Real-time data: Analyze responses instantly.

Multilingual support: Reach a global audience with surveys in multiple languages.

Best for: Businesses that need mobile-first survey solutions.

5. Surveys on the Go

Website: www.surveysonthego.com This app is all about simplicity and speed.

Why Choose Surveys on the Go?

User-friendly: No technical skills needed to create surveys.

Quick setup: Launch surveys in minutes.

Multiple distribution channels: Share surveys via email, social media, and more.

Best for: Casual users or small businesses needing fast, simple surveys.

6. GoSurvey

Website: www.gosurveys.com GoSurvey is a robust tool for in-depth data collection.

Why Choose GoSurvey?

Customizable surveys: Tailor surveys to your specific needs.

Detailed reporting: Get insights through advanced analytics.

Cross-platform compatibility: Works seamlessly on all devices.

Best for: Researchers and marketers who need detailed data analysis.

7. Google Forms

Website: forms.google.com A free and straightforward option, Google Forms remains a popular choice.

Why Choose Google Forms?

Free to use: No cost for basic surveys.

Easy sharing: Distribute surveys via email or direct links.

Google integration: Works seamlessly with other Google tools.

Best for: Simple surveys with basic data collection needs.

8. Typeform

Website: www.typeform.com Typeform is known for its interactive and visually appealing surveys.

Why Choose Typeform?

Engaging design: Surveys feel more like a conversation than a form.

Conditional logic: Create dynamic surveys that adapt based on responses.

Integration options: Connects with popular business tools.

Best for: Organizations that prioritize user experience and design.

9. JotForm

Website: www.jotform.com JotForm is a versatile tool for creating all kinds of forms and surveys.

Why Choose JotForm?

Drag-and-drop builder: Easily customize surveys.

Payment integration: Accept payments directly through surveys.

Template library: Thousands of templates for every need.

Best for: Businesses looking for a flexible, all-in-one form builder.

How to Choose the Best Survey Tool

When picking the right survey app, consider these factors:

Features: Do you need advanced analytics, mobile optimization, or customization?

Pricing: Does the tool fit your budget? Many offer free plans or trials.

Ease of use: Is the platform intuitive for both you and your respondents?

Integration: Can it work with your existing tools (e.g., CRM, email marketing)?

User reviews: What do other users say about their experience?

Conclusion

In 2025, Streakeye leads the way as the most popular survey platform, offering a perfect blend of ease of use, advanced features, and data security. However, the best tool for you depends on your specific needs.

Whether you’re looking for powerful analytics (SurveyMonkey), engaging surveys (SurveySparrow), or a free, simple option (Google Forms), there’s a survey app out there for everyone.

Take the time to explore these platforms, and you’ll find the perfect tool to help you gather insights, make better decisions, and achieve your goals. Happy surveying!

[poll-lite]

How Can Survey Tools for Business Improve Your Customer Experience?

In today’s competitive market, understanding your customers’ needs and preferences is crucial for any business. Survey tools for business offer a simple yet effective way to gather insights, enabling you to make data-driven decisions. At Poll-Lite, we provide advanced customer survey tools that empower businesses to enhance customer satisfaction, improve services, and boost overall growth.

But how exactly can these tools transform your business? Let’s explore how using survey tools for business can positively impact customer experience and overall performance.

Why Are Survey Tools for Business Essential?

• Gain Valuable Insights: The primary benefit of using survey tools for business is the ability to collect actionable insights directly from your customers. Whether you're launching a new product, improving services, or gauging customer satisfaction, surveys allow you to understand exactly what your audience thinks.

• Improve Customer Retention: Businesses that understand their customers can make better decisions, and this often leads to improved customer retention. With customer survey tools from Poll-Lite, you can ask specific questions that address pain points, allowing you to solve issues before they become reasons for customers to leave.

• Measure Customer Satisfaction: Understanding how happy or dissatisfied your customers are is essential for growth. Survey tools for business make it easy to measure customer satisfaction, identify gaps in your service, and take the necessary steps to improve.

How to Choose the Right Survey Tools for Business?

• Customization Options: The best survey tools for business offer customization so that you can create surveys that align with your brand. With Poll-Lite’s customer survey tools, you can tailor questions, design the layout, and even personalize thank-you messages to improve response rates.

• Ease of Use: Not all customers are tech-savvy, so it’s important to choose customer survey tools that are user-friendly. Poll-Lite makes it easy for businesses to create, distribute, and analyze surveys without the need for advanced technical skills. Our intuitive interface ensures that both your team and your customers can navigate the platform with ease.

• Real-Time Analytics: One of the biggest advantages of using modern survey tools for business is the ability to track responses in real-time. Poll-Lite provides businesses with robust analytics that allow you to monitor responses, identify trends, and make adjustments on the fly.

• Multi-Platform Compatibility: In today’s digital age, customers use various devices to interact with businesses. Whether it’s on mobile, tablet, or desktop, your surveys should be accessible across all platforms. Poll-Lite’s customer survey tools are designed to be compatible with multiple devices, ensuring a seamless experience for every respondent.

Benefits of Using Customer Survey Tools from Poll-Lite

• Enhanced Customer Experience: By using Poll-Lite’s customer survey tools, businesses can gather direct feedback from their customers. This helps in identifying areas that need improvement and ensures that you are continuously working to meet customer expectations. Surveys allow you to engage customers in meaningful conversations, making them feel heard and valued.

• Cost-Effective Solution: Many companies believe that implementing survey tools for business is expensive. However, with Poll-Lite, you get cost-effective solutions that provide a high return on investment. Our affordable pricing options mean that even small businesses can benefit from advanced customer feedback tools without breaking the bank.

• Informed Decision-Making: One of the main advantages of using survey tools for business is that they give you access to critical data. With this information, you can make informed decisions regarding product development, marketing strategies, and customer service improvements. Poll-Lite provides detailed reports that help businesses interpret the data efficiently.

• Increased Engagement: Using surveys allows businesses to connect with customers directly. With our customer survey tools, you can encourage engagement, gather in-depth responses, and foster a stronger relationship with your audience. The more connected your customers feel, the more likely they are to remain loyal to your brand.

How Poll-Lite’s Survey Tools for Business Stand Out

• Custom Reports: With Poll-Lite, businesses can generate custom reports that showcase key metrics. Whether you're interested in tracking customer satisfaction, product preferences, or general feedback, our tool allows you to export reports tailored to your specific needs.

• Segmentation: Not all customers are the same, and Poll-Lite allows you to segment your audience based on demographics, purchase behavior, and more. This means you can create personalized surveys for different segments, ensuring that your feedback is relevant and useful.

• Security: In an era of increasing concerns over data privacy, it's essential to ensure that customer feedback is collected securely. Poll-Lite’s customer survey tools comply with data protection regulations, ensuring that your customer data is safe and secure.

Conclusion

In a world where customer experience drives business success, investing in survey tools for business is no longer optional; it’s essential. These tools not only provide valuable insights but also help businesses stay competitive in an ever-evolving market. At Poll-Lite, we offer robust customer survey tools that empower businesses to connect with their customers, improve services, and make data-driven decisions.

If you're ready to take your customer engagement to the next level, consider implementing Poll-Lite’s survey tools for business today!

[sogolytics]

[vcqrupvt]

Why Need Build Customer Loyalty? A Comprehensive Guide

VCQRU is a leading anti-counterfeiting solutions company in India, offering one-stop solutions for anti-counterfeiting, custom QR code, smart packaging, labels stickers, and e-warranty solutions with dynamic QR code.

Read more:

[spacetelescopescience]

At the Space Telescope Science Institute, teams supporting the Nancy Grace Roman Space Telescope made incredible progress developing its Science Operations Center, building strong partnerships, and broadening and deepening the engagement of the science community. 

Here, Kristen McQuinn, the head of the Roman Mission Office at the institute, and mission scientist Gisella De Rosa introduce the incredibly powerful Roman Research Nexus and why community input is so important:

Kristen McQuinn:Roman will be able to survey large areas of the sky quite rapidly—1,000 times faster than Hubble—with its camera, the Wide Field Instrument. Roman will return a lot of data—too much for researchers to download to their own computers.

Gisella De Rosa:That’s why we built a cloud-based platform known as the Roman Research Nexus. All the data, tools, and software researchers might need are in one online space. It’s where users can also analyze Roman’s data collaboratively with their teams. Roman is a community-focused mission. More than 1,000 scientists have participated in its survey definition, and authored and coauthored science pitches and white papers to clarify how they would like to use this telescope.

Read the full interview: https://www.stsci.edu/contents/annual-reports/2024/centered-on-community