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Selected Work — 05

Helping Small Businesses See What Their Numbers Are Saying

Role
Product Designer
Tools
Figma, Claude

SPAL is a business intelligence application for small businesses to help them easily manage their sales and expenses while providing intelligent insights about the business based on the data provided.

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SPAL — business intelligence for small businesses

Most small businesses already keep records. They just don’t keep them in one place

While conversing with a friend who sells food on the street ‘the street bukka’, I realized that one of her pain points was that she couldn’t manage her accounting, she found it difficult to track her sales and expenses daily in a convenient way. Her memory was what she relied on and sometimes when she felt overwhelmed, she’d scribble something on a paper that had no means of surviving a week.

SPAL — the street bukka

Was the business doing well? Absolutely but the lack of data couldn’t make this a proper business that could scale rather it functioned as a hustler’s den, fighting to avoid hunger.

The problem wasn’t a lack of data. It was a lack of clarity

SPAL — a lack of clarity

The Opportunity

At that point, I was empathetic towards her, I could feel her passion and didn’t want her to only hustle but be able to structure with data to help influence her decisions.

I first started by recommending other products, after she gave them a trial, her words were that:

‘This is too complex for me, I don’t want to feel like an accountant, I just need something simple enough for me to understand

SPAL — something simple enough to understand

And that became the start of SPAL. A product simple enough that the uneducated woman or man passionate about their business with enough daily sales can use without any expert help.

Defining SPAL

SPAL isn’t a direct accounting software, it’s basically a financial intelligent platform that can help anyone who runs a daily business gain clarity about what their sales and expenses are through various means, voice, text, image etc.

SPAL — data entry by voice, text or image

The aim simply is to help businesses who aren’t set up to be big businesses or to dream big to gain confidence in the numbers they see on SPAL whether daily or weekly or monthly or yearly and aim towards being more than a hustler’s den.

We started with an MVP whereby the MVP is to allow users input their data using either voice, text or image and that data would be analyzed by the platform and simple insights like:

What sells the most, which days are the most profitable would be provided.

The Design Challenge

The challenge wasn’t about building another complicated software where most features don’t get used, it was keeping only the essentials and discarding the nice-to-have’s until needed.

What do the target audience (everyday selling businesses) need to ensure that their data is adequately catered for?

I had to talk to not just my friend but similar businesses I had been patronizing to get their insights.

Once I realized what they wanted, I had to ensure that data was captured from the onboarding, so the experience could feel more personal.

What business does the user run and what they were struggling with and would love to achieve with SPAL.

SPAL — onboarding captures the business

Then I had to cater to different user needs of how they recorded data, one challenge was that most of the businesses were adamant to change, they loved the notes they used or the reliance on their memory and would feel reluctant when I said there is an app to do what they currently were doing.

However, I noticed that when I said they could either write or use their voice or use images, they gave me their attention.

So, I had to ensure data entry in those forms were catered for.

SPAL — data entry by write, voice or image

The AI Layer (SPARK)

Spark is the AI partner on SPAL where users can get a summary of their data and interact with it for better insight. E.g. I sold less rice and beans today, can you tell me how I might improve the sales tomorrow?

Spark can analyse their sales history and based on aggregate data, it would provide the best possible answer to how the user might improve their sales record.

SPAL — Spark, the AI partner

The Impact

After designing, including the brand, I built SPAL using Claude. Deployed and tested with over 30 users.

Built a waiting list page where I collected data from interested users and have been sending them email newsletters about SPAL while over 10 users have been onboarded on the beta app where we occasionally go and engage with them on their experience and how we can improve the app before we launch.

SPAL — the impact

One very notable achievement is the assurance from a supermarket in a mall in Abuja, Nigeria, that if we were to bring a desktop version of SPAL with an inclusion of inventory where they can scan products and get it updated, they will adopt the product.

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