JB Reyt

Work

Linkedin

jbreyt@gmail.com

Created and launched a B2B SaaS for industrial water risk management.

Created and launched a B2B SaaS for industrial water risk management.

Work carried out for

Summary

Summary

Role & Team

Product Design and Management

Discovery, product vision and strategy, UX/UI, business model, international strategy...

Mission: 6 months with a team of 3 developers, 1 data scientist, and 1 PO.

Challenge

Capture a new market

Imageau develops a product to help local authorities manage their water resources.

To expand, they aimed at industrial companies.

This is where I come in.

Results

Developed a new app in 6 months.

Secured annual subscriptions from 4 major industrial clients pre-launch.

DISCOVERY

Industrial companies face substantial financial losses from drought.

Industrial companies face substantial financial losses from drought.

July

2022

July

2022

Alert Levels

by department

46

Crisis

38

Major alert

9

Alert

2

Vigilance

2

No restrictions

Millions of euros lost per year

The State can suspend water withdrawals or reduce them by 20-45%, depending on drought alert levels.

Insurer cost: €2.9 billion.

2,000 municipalities nearing water supply cutoff.

Most affected industries

Agri-food

Chemical

Pharmaceutical

Paper

Interviewed ten industry professionals to assess drought impact on their production.

Interviewed ten industry professionals to assess drought impact on their production.

Targets

HSE (Hygiene Safety Environment) or CSR managers

Factory directors

“We have shifted from an era of water abundance to one of careful management.”

3 main problems, that no company directly address.
No visibility

on future restrictions.

No way to secure the production in the short/medium term.

No effective tool

to monitor and ensure compliance with restrictions.

Need to consult official websites regularly and create manual reports.

No effective tool

to monitor my water resources and infrastructure.

No tracking of water volume or extraction equipment condition.

2 indirect competitors

Waterplan

Focuses on managing long-term drought risks

Aquassay

Focuses on water use efficiency and industrial process optimization

Final solution ideas

Final solution ideas

View

Alert levels across all customer sites

using official API data and clear visualisation.

Anticipate

Future alert levels (3-6 months)

using a machine learning model.

Pilot

State of the resource and infrastructure

through a dashboard displaying key site water information.

DESIGN

Tested ideas and made compromises.

Tested ideas and made compromises.

Story mapping revealed the need for 2 levels of information granularity

Overview of all production sites
Detailed view of specific sites

Tested 7 hypotheses in subsequent user interviews

Intermediate fidelity mockups (inspired by client's design system) to explore and test solutions with industry professionals.

1 - Map vision: current and future state of drought alert levels

Current

Future

Goals

See at a glance:

Changes in site drought alert levels (past or future)

Drought alert levels on all sites (map on the right)

Choices

Switch easily between current and future periods.

Show alert levels only in relevant departments.

Display probability rates and considered data for predictions.

Email and in-app notifications for drought alert level changes.

User feedback

Analyzing the state of water resources, the root cause of water restrictions, would be very useful.

Clarify the link between the map and the left panel.

Add site water use KPIs to the alert level change card.

⚠️ Problem

Our model for predicting future drought alert levels didn’t work well.

Our model for predicting future drought alert levels didn’t work well.

Our data scientist pulled out his hair analyzed the data used in some drought orders for 2 weeks.

Conclusion: alert level decisions have a strong human bias and may rely on different data depending on the department.

After some discussions with the team and users...

💡Solution

Predict instead the future state of water resources

Predict instead the future state of water resources

using machine learning models already operational in Imageau's product for local authorities.

Final mockups

1 - Map view: current state of drought alert levels

2 - Map view: current and future state of water resources

Goals

View the current or future state of water resources (groundwater, Surface water, rain) across all sites and level changes.

Identify discrepancies between resource levels and current drought alerts to anticipate future restrictions.

Choices

Simplified reading with up and down arrows (cards and map).

Improved readability of level change timelines (cards).

Clearer link between the side panel and the map.

User feedback

No further improvements needed currently.

3 - Site view: resources and risks of water stress

Goals

View the site's current and future drought risk exposure.

Long-term water stress: help industrial companies project drought impact over time with this initial low-cost feature (using Imageau and open data).

Choices

Focus on crucial information forming the site's water identity sheet.

User feedback

Added: water withdrawals. Goal: view the source of water and its environmental impact.

4 - Site view: water metrics

Goals

Monitor site water withdrawals and ensure regulatory compliance.

Track current resource status and water performance KPIs.

Choices

Instant metric view. Users can click any metric to enlarge its history.

User feedback

Add an interpretation layer to convert raw data into actionable insights using Imageau's expertise.

BUILD

Aligned everyone with the product vision and roadmap.

Aligned everyone with the product vision and roadmap.

There’s a first time for everything.

And it's usually fun.

I worked in Kanban for the first time with a team of developers who had little to no experience creating products from scratch.

Useful workshops, detailed story mapping, and weekly refinements helped us develop this new app in 4 months, without deviating from the initial roadmap.

BUSINESS MODEL

Crafted an attractive offer that meets diverse client needs.

Crafted an attractive offer that meets diverse client needs.

Audit

Understand and secure water access

✔️ Hydrogeological study

✔️ Drought risk impact assessment

✔️ Resource mix definition

10k€

/site, single payment.

Vigilance

Monitor water risks and resources

✔️ Current/past drought alert levels on all sites

✔️ Current/past groundwater, surface water, and rain levels

✔️ Notifications of drought alert and resource level changes

5k€

/site and /year

Management

Monitor water risks and resources

✔️ Current/past drought alert levels on all sites

✔️ Current/past groundwater, surface water, and rain levels

✔️ Notifications of drought alert and resource level changes

✔️ Monitoring of your water wells, withdrawals and consumption.

7k€

/site and /year

Prediction

Complete solution to monitor, manage and anticipate water risks.

✔️ Current/past drought alert levels on all sites

✔️ Current/past groundwater, surface water, and rain levels

✔️ Notifications of drought alert and resource level changes

✔️ Monitoring of your water wells, withdrawals and consumption.

✔️ 3-month prediction of groundwater levels

✔️ 1-month prediction of surface water

10k€

/site and /year

Research
Research

Refining the mockups with user feedback, I tested different offer formats, willingness to pay, and pricing during interviews (Gabor-Granger and Van Westendorp Price Sensitivity Meter).

Refining the mockups with user feedback, I tested different offer formats, willingness to pay, and pricing during interviews (Gabor-Granger and Van Westendorp Price Sensitivity Meter).

Result
Result

Several subscription tiers and an optional audit (existing Imageau service), depending on the needs of each client site.

Several subscription tiers and an optional audit (existing Imageau service), depending on the needs of each client site.

Offered an "Early Partner" contract for pre-launch subscriptions, including a first-year discount and advanced support.

Offered an "Early Partner" contract for pre-launch subscriptions, including a first-year discount and advanced support.

RESULTS

4 large industrial companies purchased an annual subscription.

even before the application is launched 🥳... However, this new app relies partly on French data (drought orders and water levels).

How to scale the product internationally?

Many countries face drought, have alert systems, and offer similar open data. But Imageau is a small company and cannot cover the whole world at once.

After some research on this subject, I developed a decision flow and a scoring sheet which help evaluate the opportunity to enter a any country.

Upcoming challenges

Upcoming challenges

Conversion

Corporate promotes the product, but site operations teams often bear the cost.

We had to engage with corporate before accessing the factory HSE personnel and directors who also use our product.

With initial customers, continued user research is essential to make sure the product convinces this persona.

Research

It was difficult to conduct quantitative research.

Without a product and an established customer base, it was impossible to conduct quantitative research on a representative sample.

As Imageau's customer base grows, adding quantitative methods will be essential to measure impact, test hypotheses, and prioritize efforts.

Thanks for reading! Reach out if you want to chat👋

Thanks for reading! Reach out if you want to chat👋