Anoded

Anoded is a B2B platform that monitors large scale battery optimisation in real time.

Year

2023

Responsibilities

Product strategy
User research
Information architecture
UX + UI Design

Team

1x Product Manager
1x Engineering Manager
2x Frontend Developers
3x Backend Developers

Overview

A clarified optimisation
process

A transparent optimisation process

Storing energy from renewables into batteries is an emerging technology that improves the efficiency of the UK grid. Synthesising energy market trading & operational data, Anoded equips battery owners to make the best decisions for their assets. Financial directors use it to stay in touch with their return on investment, while asset operators track the health of their battery in real time.

Problem

Problem

Limejump’s goal is to become the number one energy storage optimiser, but their Business Development team is not confident when demoing current insights tooling to their leads. Customers are not systematically informed on how their batteries are being managed.

Limejump’s goal is to become the number one energy storage optimiser, but their Business Development team is not confident when demoing current insights tooling to their leads. Customers are not systematically informed on how their batteries are being managed.

Solution

Solution

A customer portal for customers to track their own batteries’ trading schedule and performance. One that a Business Development team member is delighted to demo to potential customers.

A customer portal for customers to track their own batteries’ trading schedule and performance. One that a Business Development team member is delighted to demo to potential customers.

Jump to solution
discovery

In-house workshops

With the help of the CX team's product manager, I led workshops between heads of departments to understand what insights our customers are missing when it comes to their assets' optimisation.

We discussed the need for customers to synthesise between two main facets of their battery, in order to gage the value that their optimiser is bringing them: Commercial and Operational.

The two facets of battery optimisation, dependent on the National Grid’s balancing demands
OKR scoping map done with Engineering, Business Development and Account Management teams
discovery

Qualitative research

Given our small amount of battery customers, I got to know them in depth. Their needs were respective of their contract type and familiarity with the energy industry.

I interviewed Financial directors, Operational engineers, and Asset Managers. I shared the research plan across the business for guidance and feedback.

Snippets of our research plan, research sessions and interview synthesis
Define

User problem

There was a pattern of battery owners struggling to understand trading strategies made on their behalf. They relied on their Account Manager to share strategy updates on request, retrospectively.

We defined a high level question that tied various problem spaces into a clear set of user pains, which we kept visible during most of our scoping meetings.

Define

User story mapping

My key role in the Define stage was to draw our stories from the user's POV, and only allow system-focused tasks to be written from and within them.

These stories make up the MVP milestones where user needs, business goals and technical feasibility can gradually meet.

Jira stories written directly from the user story map
Ideate

Sitemap

I laid out a navigation path where data sets could be analysed in silo, as well as compared to others.

I laid out a navigation path where sets of data could be analysed in silo, as well as compared to others.

This map was the first design asset to be tested with close customers. I used the card sorting methodology for items I couldn’t find a name, or a place for.

Sitemap of pages, view filtering and viewable data
Ideate

Wireframing

The strategy was to develop the Optimisation area first as a POC, to allow beta users to track their revenue while we scoped out the Operational area.

I stayed away from refined pixels until we had a structure for the product’s overall content. This made it easier to iterate on options for targeted feedback.

Wireframes on FigJam describing functionality
test

A/B (+C) testing

I gaged how our design decisions performed against our target customers' mental models. And learned to identify smile-frowns.

I mainly used the A/B testing framework, but kept an occasional hidden C option introduced later in the test to contextualise and confirm opinions.

Options for Wholesale trade representation tested with 4 customers
Implement

A focus on transparency

Compartmentalisation

Navigate through individual revenue streams to analyse profit & loss, with the larger context always visible

Progressive disclosure

Grasp the trading strategy through visual cues, then uncover the relevant insights

Summary to details

Skim through the health status of all sites at once, then drill down into specific assets

Data visibility

Get a thorough health assessment of a site or battery, from above the fold. Screenshot and send to a colleague!

Fluid time controls

Dive into a precise timeframe to investigate minute incidents and receive time-based reports

reflection

Problems solved

  • Customer service calls relating to trading questions have decreased by 48% in 3 months

  • Confidence levels have increased within the Sales team, resulting in 12% more demo calls in 3 months

  • Key account customers have replaced a scattered toolkit with a single, all-encompassing product


  • Customer service calls relating to trading questions have decreased by 48% in 3 months

  • Confidence levels have increased within the Sales team, resulting in 12% more demo calls in 3 months

  • Key account customers have replaced a scattered toolkit with a single, all-encompassing product

  • Complex trading strategies and battery updates are made accessible through visual communication

  • Health & Safety protocols are more easily implemented given the real-time alerting system

  • Customers are able to validate their own monthly revenue through transparent and modular data

Next: Quotejump
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