Pettr has a new logo

November 19, 2020 - Reading time: 2 minutes
The new Pettr logo

The talented architect, artist and designer, Shaun Gaylard of Blank Ink Design took some time out of his 365 Buildings of South Africa project to help me with a much needed Pettr logo.

The logo draws on inspiration of the two animals from the survey - cats and dogs - and uses colours from the new brand palette he created for the project.

I have updated the favicon and added the logo to the website, and I am slowly working on some of the existing usability issues.


How you compare and breakdowns

October 22, 2020 - Reading time: 6 minutes

It has been an incredibly busy time for me for the past few weeks, and I have been trying to use my 'idle-time' in the evenings and on weekends to build some new functionality into Pettr.

There are three things I want to cover:

  • How things are calculated
  • Feature: Breakdown
  • Feature: How you compare

How things are calculated

I have had discussions around how the current costs are calculated, and how this information is presented by the Pettr calculator. The feedback is that people feel the averages do not accurately represent the cost of ownership.

And they are right, they don't. Why so?

The Pettr calculator works by grouping data from survey respondents that are allocated into particular bands, and then calculating averages from the various costs. It is not exactly difficult to calculate, although the primary calculator does come in at ~350+ lines of code. To optimise the process (and because it really isn't necessary), all calculations are pre-generated with the results being cached.

The current downfall of calculating pet affordability in this way is that the calculator does not differentiate a survey respondent that had three cats and two dogs, from a respondent that has two dogs that are both small, or any combination in-between. And because each individual will then have different costs because of the differences in how many animals they own, the averages can become skewed.

To cater for this, I have worked on a supplemental calculation that further breaks the current cost structure for bands of people where they only have a single pet (cat, small-sized dog, medium-sized dog, large-sized dog). It represents this data in the new feature: Breakdown.

Feature: Breakdown

The new breakdown feature is designed to make use of the new pre-calculated data where I have isolated survey respondents that responded where they own a single animal. The breakdown feature will allow users of the calculator to get a further break down based on the kind of animal they are interested in viewing the potential costs involved in owning that kind of animal.

Breakdown appears under the pie chart with Pet Choices, and allows you to select the type of animal that you want a breakdown for (assuming the data exists for that animal in that bracket).

Why results can differ

While working on the new Breakdown feature, I noticed that the affordability data represented as an average can sometimes be lower than the data shown in the new breakdown feature. And this was to be expected! In fact, it was deliberately catered for when the calculator is used where there is sufficient information available to provide information. 

As seen above, a warning is displayed when there really isn't enough data to show give users accurate information.

Pettr deals with different people with different pet dynamics. An example of this situation is that in one of the bands, there is only survey respondent that has a cat. This respondent is actually spending more money on their pet than the average of all pet owners in that band.

Why would someone want to do this? A further look into their individual profile highlighted to me that this survey respondent spends above average on their cat's dietary requirements, and other needs because they only have the one pet, so feel they can spoil the animal more.

This is why it is so important to share the word of Pettr, and to get more people to participate in the survey. It is also why I am going to delay the release of this particular feature until I get more survey responses in.

Feature: How you compare

When you complete a survey in Pettr, you are currently presented with a success page, along with the ability to send your transaction information to your email address (and opt in to any email messaging I might want to provide in the future).

How you compare was designed to be a bit of a 'reward' for completing the survey, allowing you to see how you compare against the average in that affordability bracket.

What's next?

I feel that Pettr has reached a point from a technological perspective where it has achieved my initial goal of being the world's first pet affordability calculator (that works off of crowd-sourced information).

And while there are plenty of websites that provide information about pet affordability, with my own research and initial survey design being oriented around publicly available information, I feel that they are either too US-oriented, or that they give bands of costs that do not really give people a clearer understanding of the costs they might spend when they get an animal.

The next few weeks will largely focus on getting the Pettr message out, and hopefully getting more survey responses in.

From a tech perspective, I am also going to be working on looking at individual pet breeds, and building data sets around each breed in order to help people make better choices about the animals they bring into their homes.

I am also acutely aware that the current iteration of Pettr has focused on 2020 within the bounds of both the survey, and the calculator. I want to do some strategic planning on how to either bring 2020's results into 2021, and also refocus on how I collect this information. Pettr might be a sideline project of mine, but I have a long list of things I want to learn, accomplish, and grow in this new venture.


Things I need to remember with Cockroach DB

October 21, 2020 - Reading time: 3 minutes

We have been working with Cockroach at IGM as a potential replacement for our Postgres database.

This is just a space for me to add some of my thoughts on how to run these commands - and the might come in handy for other people too.

We are currently trying to import our current databases in to various nodes, but it keeps breaking (though most of the manuals and searches we've done seem to indicate that CSV is favoured over the PGDUMP method).

Creating a cockroach user

adduser --system --disabled-password --disabled-login --no-create-home --shell /bin/false --group cockroach

Creating the cockroach.service file

This is for use with systemd. The manual says you can also download a file to cater for this using wget

wget -qO- https://binaries.cockroachdb.com/cockroach-v20.1.7.linux-amd64.tgz | tar  xvz

But I find it easier to just use the file directly - because most of our server environment is setup the same - so it is easier to replicate to different nodes. The file belongs in /etc/systemd/system/

[Unit]
Description=Cockroach Database cluster node
Requires=network.target
[Service]
Type=notify
WorkingDirectory=/var/lib/cockroach
ExecStart=/usr/local/bin/cockroach start --certs-dir=/var/lib/cockroach/certs --advertise-addr=localhost --cache=.25 --max-sql-memory=.25 --storage-engine=pebble
TimeoutStopSec=60
Restart=always
RestartSec=10
StandardOutput=syslog
StandardError=syslog
SyslogIdentifier=cockroach
User=cockroach
[Install]
WantedBy=default.target

It is also good to remember the different systemctl commands and journalctl -ex command to trouble shoot when things go wrong.

When rebooting the machine, ensure you've run sudo systemctl enable cockroach (assuming your service is cockroach.service in /etc/systemd/system) to ensure it automatically restarts when you reboot the machine.

Other things to consider

Changing the access permission for the key files (as an example)

sudo chmod 600 node.key

sudo chmod 600 client.node.key

And to recursively change the ownership (usually from the dir where your data files will be and your certs)

sudo chown -R cockroach: .

Updating income and disposable income levels

October 2, 2020 - Reading time: 4 minutes

One of the areas that I got feedback with regard to Pettr was that the income and disposable income levels are too high for certain countries, like the United Kingdom. Last night, I set out to tackle this problem and released the new changes.

In the first iteration of the user interface (UI), I designed the select boxes to just change the currency symbol instead of trying to alter the actual bands. I mean, the goal was to get something out quickly, so there are bound to be oversights in the design.

What this meant for users is that a lot of people visiting Pettr from these kinds of geographic areas would in all likelihood select a very low value - given the ranges are in large bands. And this would have affected their choices, but also skewed the overall scores because these countries 'buckets' of information would have most people falling into the same bucket instead of having a range to work from.

Before the changes, every
country had the same bands.

After the changes, bands
are a more refined.

With the latest release, not only are the bands more dynamic, but I can set them individually per-country. While I have not had time to break each country into better income bands, this is the first step in doing so.

The new changes affect both the calculator, the survey, as well as the administration pages.

Technology

With this new enhancement, I have shifted from using a file-based config for countries and currency information, and have pushed all this data into CockroachDB. I've also duplicated these results in Redis (which I also use to store aggregated calculation data per-region) to reduce the number of calls to the database - there are actually very few calls to the database in general.

I will be rolling out further enhancements to the tech platform as it matures.

Feedback

I haven't had too much feedback on the UI in general, other than people seem to think that the Pettr calculator is 'recommending' a particular kind of pet to them, where it is actually just showing them what is the most popular animal in the category.

Right now, I am not too concerned with that element, but I want to focus on breaking the data boundaries down a little further. People have provided great insight into their pets from the get-go, and it has been fantastic to see data come in, which presents an opportunity to sit back and investigate what can be done to further enhance the solution.

Edit - 05/10/2020

At first I didn't realise that my bands were slightly off (based on the way I was doing the calculations) where the lower limit and upper limit had a variance between them. I have since fixed the bands so that the end of the one band is -1 of the start of the next band.


Pettr - One week In

September 30, 2020 - Reading time: 6 minutes

It has been just over one week since I wrote up about Pettr, so I thought I would share some insights since the project was released to the public.

Firstly, wow! I cannot believe the constructive feedback I have received and the words of encouragement from people around my "pet project" - excuse the pun! Thank you to everyone that took the time to read the post, participate in the survey, and share the post in their social circles.

I am happy to report that there have been quite a few people who have actively participated in the survey, with results coming in from South Africa (obv. the easiest since it is where most of my network resides), the United Kingdom, and Australia. Early days, but I am happy with the progress so far. 

I've been using a private-install of Matomo to track usage and conversions - opting in for a more privacy-centric analytics platform where the usage information isn't visible (or available) to a third party.

Getting the word out

The main route to gaining some traction has been through social media - it is, of course, one of the best ways to get instant visibility of a product.

I wrote the initial blog post and had that go off on a scheduled timer for Monday, 21 September 2020. I then created a basic post on LinkedIn, which up to now has had over 1000 views!

I also added a post to Facebook (a rarity for me), in order to further distribute the news. I also went ahead and wrote a WhatsApp message which I sent to people I know who have pets. In some cases, these friends also passed on the message to other people, helping send the message out further.

Here is the visitor map and no. of visits to Pettr since its 'social media release' last week.

Collaborative space

Two days after releasing Pettr, I received a mail from a company asking about how we might be able to collaborate! My initial thoughts were: what the hell?! This idea-turned-project is just a few days old in terms of being released to the World, and already its gained some interest by big-business!

I can't say who it is, or what has been discussed - but I can say I am extremely excited for some of the potential ideas that have been discussed and how Pettr can continue to grow. I am feeling completely overwhelmed in the way that people have seen this project of mine and are looking for ways to help create an impact in what I am trying to achieve!

Next steps

As Intergreatme takes priority, making changes to the Pettr platform will be gradual. Right now, my core focus is on bug fixes and minor enhancements (see below).

I have had some really fruitful discussions with people around possible ideas that are definitely great enhancements to the platform and will be working on these. I also think it is important to make it known that there is a development road map along with a product road map - so while Pettr is just starting out and in its infancy, not all ideas and suggestions might get implemented (I am also a one-man-band in this project that I've built entirely from scratch).

As always, feel free to share feedback, and if you have a pet, participate in the survey. I am really excited to see where this idea can go!

Bug fixes and patches (the tech stuff)

  • Calculating scores

I identified an issue in the routine that converts survey results into calculation results, where I did not add initialisation variables in one of the loops which has resulted in some scores from South Africa 'leaking' into scores for other countries.

This has been patched, and I have generated the correct scores for surveys.

  • Fixed error page when linking from Facebook

Links on Facebook add the awful ?fbclid GET parameter that FB appends to the URL in order to allow then to track your usage through other sites and tracking platforms. I currently use some GET param in the URL which was causing the system to throw error pages. I have written code that checks for the FB param in the URL and ignores it.

  • Regenerating Pettr Survey GUID

Fixed a logic flaw with the generation of the Pettr Survey GUID which is used while a user goes through the survey. In some instances, it was incorrectly generating a new GUID per-page which could have caused error pages to display, or issues while trying to complete a survey.


So I started a social entrepreneurship product

September 21, 2020 - Reading time: 7 minutes

An intro to Pettr.io

Pettr.io, a play on the words Pet, and Better (with the .io signalling inputs and outputs), is a little side project I've been working on for the last 'year and a bit'. I settled on the name Pettr after thinking about a a few other project names, but not being able to use them (a story for another day).

In the end, I do think that part of what I am trying to achieve here is around the mindset of treating our pets, better. And making better financial decisions about them too.

A bit of background.

I remember in my 'younger years' having discussions with friends who were intent on adopting a pet, and I think the main concern I had back then was around whether friends were in the best financial position to have pets, and whether they understood the commitment they were really signing up for?

Fast forward to 2016. During my MBA, I had some chats with a friend around the pet industry. While the discussion brought forth other ideas, (some of which I'd like to implement in the future), one of the main things that kept on running through my mind was around the affordability of the animals we adopt in to our lives. It rebooted my previous thoughts of pet ownership, especially towards pet affordability, and I wanted to do something to highlight this.

Its in the numbers.

This is where I hope Pettr shines! Starting out, I did quite a bit of research on pet affordability, thanks to some searching and Google Scholar, I noticed that there is was not too much information for people who are interested in buying pets to get a more realistic view of the cost of pet ownership based on their geographic positioning. Sure, there are a couple of sites out there that have articles about it, but most of the ones I could see were heavily tailored to the US (and the last thing I would want to do is try convert US Dollars to South Africa Rand).

But as each country is different, as in the culture and behaviour of the individuals in those regions; it was really important for me to try and bind this data to a geography. Trying to use US-based information in South Africa just seemed like a disaster to me when I looked at the prices of things and noticed a disparity in cost. It meant the information I was seeing was not entirely relevant to the South African landscape (or to other regions, I suspect).

To this effect, Pettr tries to figure out which geographic region you're in, and tries to show you the calculator relevant to that area. Of course, it can get it wrong, so you can override the selection. The point of this is to provide cultural relevance in the numbers being presented to you - the information provided is effectively crowd-sourced from people living in those regions!

Where I am today.

The original survey was based on the cost of ownership for cats and dogs, and I have since interpreted the data which really helped reinforce my assumptions. Over the last few months, I have been working in my spare time on this pet-project (excuse the pun), and am happy to say that I have released the first incarnation of a solution designed around providing more up-to-date information about pet affordability.

Pettr is a solution that consists of two components: a pet survey system (link), designed for multi-region data gathering; and a calculator (link) that presents an average of costs associated for that particular disposable income group. Effectively the survey system is used to feed data into the calculator system. Right now, I have data for South Africa, which was based on the input for 2019's survey, but I am actively looking to build up a new data set for 2020 and beyond.

How can you help?

Since Pettr is a new idea, it really is in a minimum viable product (MVP) stage. During the development and showcasing to friends, there were often (very constructive) ideas presented, or further enhancements that could be done down the timeline if the project continues. I obviously am excited about the product's potential, but also am elated to hear similar responses from the people who I can trust to give me their honest opinion - even if it's something which I do not necessarily agree on (but ultimately implemented because it's not about me, it is about what is best for the product!).

If you have a pet, take the survey!

The information you provide feeds into the existing data set of information that I have already collected with the survey I conducted in 2019. Click here to add your info to the survey.

Share the link.

The more people that take the 2020 survey, the better the calculator will be.

Provide suggestions for improvement.

The first version of the survey went under some review with friends, to try and see if the types of questions that were being asked were specific enough to build proper qualitative data. During the analysis phase, I picked up on some areas of information that were not required, so I removed those questions for the latest survey on Pettr.

Part of my goal is to either create different surveys for different areas in the pet ownership / affordability area, and to make those accessible to people.

What's next?

I would love to partner with shelters and agencies (like the SPCA) to show case animals in need of adoption within the guide lines of affordability! I've seen a lot of posts on Facebook and I think it would help drive Pettr usage, but hopefully also drive pet adoption from these agencies.

Pettr is also free to use, and I'm using my own resources to finance it. It would be great to get a corporate sponsor involved just to help cover some of the basic running costs. But I'm also happy to run on my own fuel with this project as it is something I'm passionate about. So if there are businesses that would like to sponsor this initiative, get in touch. I'd be happy to discuss branding opportunities.

Ultimately, the success of the calculator and the social entrepreneurship activities that surround it are dependent on quality information entering the system, the proper analytics taking place in order to ensure the calculator works, and to drive adoption of the tool to help people make better financial decisions when it comes to buying animals, and recognising the costs associated with pet ownership.

I look forward to hearing from you!


About



My name is James Lawson, and I am one of the founders of IGM and its current Chief Information Officer.

I also have a consulting firm, Caelisco where I provide advisory services, predominately to startups that require technical advice.

Pettr is my social entrepreneurship project, which takes a global look at pet affordability.

I completed my MBA from the Gordon Institute of Business Science (GIBS), and a BTech in Software Development from the University of Johannesburg.