Archive for the ‘User research’ Category

Kenya’s informal economy clambering on to the information highway through their smartphones

Sometimes cliches are the only way to communicate the sheer breadth and depth of the transformation now undergoing in the informal sectors, such as trade and light manufacturing, thanks to affordable smartphones and data bundles.

I began calling it digital and not online yesterday when we discovered many people didn’t recognize the word “online” in a question, and thought of it as their smartphone or an app. The next billion online, with their prepaid airtime on low cost devices, have recognized the market potential of the “internet” in the form of Facebook but do not yet recognize the concept of either “online” or the internet.

It was commonly perceived as things you could do with a smartphone that you couldn’t with a feature phone. MPesa, with its robust USSD system, could be used with a 15 year old phone, and thus, like sending a text, or making a phone, has become a basic feature of their mobile phone.

Everything else is magic.

Kenyans have leapfrogged more than just landline infrastructure in their embrace of mobile telephony. They also leapfrogged conceptual understanding of the internet, websites, HTML, and pages, that those of us who began with desktop or laptop computers had visualized conceptually as a model for our own need to understand the system.

We’re seeing wholly new ways of thinking about apps, tools, and services in the “digital world” – which, I find, is the easiest way to describe the span of technologies that most developing countries must straddle – from 2G to 4G and 5G, African countries can’t afford to turn off 2G like Singapore can. Too many people are still using old Nokias, and I was able to purchase an unboxed 2009 model Nokia for $25 in Nairobi’s Central Business District last week.

The future will remain unevenly distributed in the digitization of the informal economies of developing countries, but this is giving rise to interesting developments. Where the system is technologically “backward” as compared to the linear progression in the developed world, it will not have a development path to follow but will and does go off in its own direction of transformation.

What we are seeing here in Kenya is a hybrid digital economy that can be accessed by both featurephones and smartphones, the only caveat being the tradeoff made on the richness of information streams available for each category of device.

This to me also feels like what the mobile internet experience will be like for another decade in Kenya, and a local approximation of societal and demographic change for any other developing country context.

What will not change is the vast majority data management habits – 97% of Kenyan mobile subscribers are on prepaid airtime plans, although there does seem to be a segment of customers who are beginning to see the advantages of postpaid services. I met one of Kenya’s 3% – a Safaricom Platinum customer.

The Quiet Digital Revolution: Indigenous Innovation in Intelligent Information Systems

Big data, machine learning, and artificial intelligence are the buzzwords of the day, along with the obligatory blockchain and bitcoin. Much is being written on their potential to solve Africa’s problems, or India’s challenges. In turn, each has been promoted as the next big thing to address poverty and its discontents. Yet, we note, that all of them, without exception, assume implicitly and some go as far as to articulate explicitly, that these future and potential solutions are the sole purview of the first world’s silicon centers. “We know best, and we are the experts in this, as in so many other things, when it comes to the context and conditions of developing countries.”

However there’s a quieter digital revolution taking place, using much the same cutting edge technologies and techniques. One which is emerging from the deep contextual knowledge of local needs and local challenges, tapping into opportunities in relevant and accessible ways. I found two exemplars of this ongoing trend worth highlighting here, one from Kenya and one from India.

From Kenya, technology enabled livestock insurance

Andrew Mude, a senior economist at the International Livestock Research Institute (ILRI), created a program that protects pastoralists against losses from drought, an increasing scourge for nomadic communities in northern Kenya and southern Ethiopia. The index-based insurance uses satellite imagery revealing how much foliage has been lost to calculate the projected impact on the herds. It eliminates the need for an actual census of dead animals. More than 3 million pastoralist households in northern Kenya depend on goats, cows, sheep, and camels, and the high rate of livestock losses during droughts is a major cause of childhood malnutrition. With their households constantly on the move, the payments give families enough money to survive economic downturns without having to sell off their herds. Foreign aid programs from several nations help subsidize the cost of the insurance.

Mude, 39, says his interest in finding new tools for economic development comes from his parents, who were the first boy and girl from the Marsabit district of northern Kenya to attend high school and who later helped other villagers acquire an education.

Dr Mude won the 2016 Norman Borlaug Award from the World Food Prize for his innovative program that provides pastoralists with livestock insurance.

From India, Data Intelligence Drives Microtargeted Development in 290 Villages

SocialCops partnered with the Tata Trusts and Government of Maharashtra to drive rapid development in Chandrapur. The story behind this pioneering initiative of the Maharashtra government required the data-mapping of three blocks of the district at an unprecedented level. In this remote, inhospitable setting, a mammoth task was conducted —a survey to gather data in villages on every single individual.

The objective: setting up a real-time data system that can help the authorities and communities plan at the local level according to their specific needs.

Computing power and data intelligence allows for a customizable, human centered approach to social and economic development at scale, and India, with her vast population and their myriads of unmet needs, is showing us how to do it right, for future scale.

As their blogpost says, a quiet digital revolution is underway.

What happens when the informal economy is not criminalized? : Case of Hargeisa, Somaliland

In Hargeisa, the role of the informal economy during and after conflict has been vital to conflict prevention and peace-building.

A recently released report by Cardiff University and Somaliland research partners on their work related to the role of urban informal economies in conflict zones offers us perspective from another angle.

A little thin on insights and interpretation of their carefully gathered data, it nonetheless provides ample evidence of the value creation and economic contribution by informal sector actors in developing country contexts. In fact, I would say, it strengthens the argument for considering the informal economy as a commercial operating environment, to be taken seriously by policy makers and programme designers.

The report finds that “the IE (informal economy) became vital in replacing services and utilities destroyed by the war within Hargeisa city which both provided livelihood opportunities for the conflict-affected urban population and replaced key goods and services which had been disrupted by the conflict.”

And discovers that it was the informal economy’s acceptance by the local populace and government, characterized by extremely low levels of harassment or criminalization that was key to its ability to contribute as a trusted resource and asset during the rebuilding of society after the civil war.

In most cities in sub-Saharan Africa, urban policy marginalises the urban informal economy (IE) and IE workers are often victimised and harassed (Lyons et al., 2012). This is not the case in Hargeisa, where informal economy workers interviewed reported very low levels of police harassment, with less than 7% of the 168 current informal economy workers interviewed stating they had experienced problems with local authority. Furthermore, there are high levels of trust  and reciprocation amongst informal economy workers and in society generally, and a lack of effective municipal regulation which enables and encourages the growth of the informal economy.

The report goes on to conclude with the recommendation that recognition of the informal economy (IE) had the potential to transform the developmental trajectory of both Hargeisa, as well as greater Somaliland:

Recommendation 1: Increase national legitimacy and recognition
Recognition: It is essential that Hargeisa’s IE workers are recognised as legitimate economic actors making significant contributions to the national and city economy.
National Informal Economy Policy: A cross-government National Informal Economy Policy should be developed, so that the key social and economic contribution of the IE is reflected in the five-year national economic development planning and other relevant government strategies.
National Informal Economy Standing Committee: A high-level National Informal Economy Standing Committee should be set up, with a membership of about 10 people to include high-level representatives from: the Ministries Planning and Development (chair); Commerce and Trade; Labour, Employment and
Social Affairs, Hargeisa Municipality, and SONSAF, including 3-4 representatives of umbrella IE workers’ organisations. The Standing Committee should:
o Advise on development of the National Informal Economy Policy;
o Advise on inclusion of the IE in the Five Year National Economic Development Plan;
o Recommend inclusion of the IE in other relevant government strategies;
o Undertake sector-specific analyses of different IE sectors (needs and support);
o Identify ways to extend social protection to IE workers;
o Address negative impacts of the IE (e.g. from the qat or charcoal trade);
o Assess data needs for improving understanding of the IE (e.g. through labour force surveys).
o Address lack of IE access to credit and finance

According to the Somaliland Sun, these recommendations are being wholeheartedly adopted by the local government. One not only looks forward to the developments of this groundbreaking initiative but hopes that this shift in perspective and recognition of value creation diffuses outwards with impacts on informal economies everywhere.

 

NB: Here’s my brief TEDTalk video on this theme from TEDGlobal 2017

Financial Patterns at the Last Mile of the Farm to Fork Value Chain

Source: http://library.wur.nl/WebQuery/wurpubs/454661

This value web illustrates the last mile of the farm to fork agricultural value chain in the state of Maharashtra, India. We’d mapped it during our project/s for the Dutch government back in mid 2013, where we’d introduced human centered design thinking for sustainable agricultural value chain development. Subsequently, I led a multidisciplinary team conducting fieldwork in rural Kenya, in order to compare and contrast the last mile in the African context.

As mentioned previously, while the details of seasonality and crops may change due to geography, the essential foundation and framework of the farm’s financial management behaviour remained the same. And, while the actors and roles in the value web may shift and change between rural India and rural Kenya, the essence, here, too, remains the same. There are intermediaries and brokers, transporters and aggregators, and wholesalers and retailers, along with agrovets and extension agents. Everyone has a part to play in the interdependent web of value exchange, based on trusted relationships for the most part.

Therefore, their cash flows and income streams too, are closely linked to the harvest seasons and the crops, just like the farmers‘. In fact, Indian business magazines go as far as to assess the health of each year’s monsoon season in order to attempt forecasts on the annual peak of consumer activity – the post harvest festival season in the October-November period. They recognize the linkages and networks that connect the rural and urban markets, and the ripple effects of the quality of the year’s harvest. It would not be inaccurate to say that the degree of impact and influence is proportional to two related factors – the proportion of GDP from agriculture and related activities; and, the percentage of the country’s population dependent on agriculture and related activities.

Market town finances

In addition to the linkage, we have observed financial management behaviours among traders, and not just those dealing in agricultural commodities or fresh produce, that resemble those on the farm.

The factors that impact the management of working capital and income streams – uncertainty of amount and the timing of its arrival – remain the same, as do the majority of the characteristics of the operating environment, such as infrastructure and systems. A trader dealing in new clothes also sees seasonal differences in her sales, and, unlike a trader in foodstuffs, is also more likely to see greater impact of a low season as people go without the discretionary purchase of a new shirt. Thus, traders must also manage the volatility, uncertainty, and seasonality of their addressable market, and their customer base, and their cash flows and income streams accordingly. We see the impact of this in their business development strategies, and that will be the subject of the next post.

Furthermore, in market towns and border markets, unlike urban metros with a myriad of occupations, the health of the agricultural season will impact everyone in the ecosystem not just the traders themselves. The internetworked last mile of the farm to fork value web closely links the health of the harvests with that of the rural and peri-urban economies.

 

Collected Works
Work in Progress: An Introduction to the Informal Economy’s Commercial Environment – Links to organized series of articles on the topic

Rural Household Financial Management on Irregular Incomes

While all farms are not alike, and scale and variety and geography differs, the pattern of household financial management holds its fundamental logic across continents.

click to expand image

As we saw previously, an experienced farmer tends to fall somewhere in between a salaried employee and an odd job labourer in their ability to predict with any reasonable degree of accuracy when they might expect cash income to arrive and approximately how much. They are able to estimate the quantum of the crop, and when it will be ready to harvest. They may already have buyers or a market.

However, in practice, farmers rarely rely solely on these infrequent lump sums for managing their household finances – a big harvest once or twice a year, maybe three times depending on the crops and the local geography. Instead, they manage on sophisticated portfolio of investments, each maturing over different periods of time, as a way to mitigate risk, as well as smoothen out cash flows over the course of the natural year, and minimize the impact of uncertainty or shock. The drivers for these goals are the foundation for the variety of business practices observed across sectors in the informal economies of the developing world.

You will find even the humblest farmer, as long as he owns the patch of land on which his homestead is built, even if his fields may be further away, doing some or all of a combination of these activities to manage his income stream over the course of the natural year. I will explain the basics, and then give examples from different regions.

Managing A Portfolio of Investments based on “Time and Money”

The illustration above captures our attempt to map the various cash flow patterns from the farmer’s portfolio of investments. Consider each cluster of elements as a “deposit” with varying times of maturity for cashing out, as the need may be. For example, cows give milk which can be sold for almost daily cash returns, as can the eggs from chickens. The fresh produce from the kitchen garden matures far more quickly than staples such as maize or beans. And, if there is a cash crop such as tea or coffee, this may taken an entire year for the harvest to be monetized. At the same time, various farmyard animals are invested into when young, maturing over time for sale, as an emergency cushion or for earmarked expenses such as annual school fees.

Thus, over the course of the year, cash arrives in hand with varying degrees of frequency, and periodicity, thus ensuring the farm’s ability to manage regular household expenditure on a more or less regular basis, even though there are no predictable wages. Nor, is the farmer burdened with credit and debt over the time whilst waiting for her 2 or 3 major harvest seasons.

Variance in regional seasonality influences coping mechanisms

While the foundational framework of the farmstead’s domestic financial managment remains the same, regional differences due to geography, and thus seasonality, influence crop choices, number of harvests, and the details of the coping mechanisms selected by the farmer to manage her financial portfolio.

For instance, in rural Philippines, in the rice growing Visayas islands, only well situated farms benefit from three rain fed rice harvests a year whilst the majority must manage on two. Thus, farmers invest in piglets, calves, or even cull chicks for nurturing into fighting cockerels which sell for more than 10 times the price of a regular chicken. They stock firewood, coconut husk, and supplement their cash money needs through petty retail during the low season.

In rural Malawi, outside of Blantyre, the farmwife who is a member of beekeeper’s cooperative, distills traditional wine for sales 2 to 3 times a week, boosting her cash flow frequency instead of waiting for the annual honey harvest.

Minimizing volatility to enable financial planning

Thus, we can see that even under conditions of uncertainty, farmers have established the means to manage their household expenses, including periodic ones such as school fees or loan repayments, on irregular and unpredictable cash flows from a variety of sources. Their sophisticated portfolio of investments contain “deposits” that mature over varying times, for different amounts, and their planning, thus, goes into ensuring that the volatility between income and outgoing expenses is kept to a minimum.

Next, we will see how less agriculturally dependent sectors of the informal economy base their financial management patterns on the rural economy’s foundation of portfolio management.

 

Collected Works
Work in Progress: An Introduction to the Informal Economy’s Commercial Environment – Links to organized series of articles on the topic

Competitive Advantage & Customer Relationships: Lessons from Market Mummies of Ghana

Source: Gerry van Dyke presentation

Source: Gerry van Dyke presentation

How would you differentiate yourself in this informal retail market? Ghanaian market research guru Gerry van Dyke took a closer look at the market ‘mummies’ – Mama Biashara, as we call her – and their consumer marketing techniques in the “non-label environment”. His findings form an excellent foundation for understanding marketing and customer relationships in the informal sector. You can explore insights from his presentation here (PDF).

The story that follows tells the interesting marketing skills that reside in the traditional African market and the similarities in the tools employed by modern marketing.

Goal Directed Research for Innovation Planning in Emerging Markets

What differentiates the research conducted to inform the design of an innovative product or service, in an untapped market? Michael Kimani asked me this question during a recent Skype conversation and I promised to write out the answer.

  • Goal directed research for innovation planning seeks to discover opportunities for new products and services for a particular market or population segment.
  • This means the scope must be broad enough to gather evidence of a market opportunity, customer needs and willingness to pay, as well as identify the constraints and barriers in both the environment (such as infrastructure) and the target population.
  • Looking for evidence of a viable value proposition and/or a business model is what distinguishes this type of early stage research from traditional product and service design research whose goals are to discover the optimal design solution for a particular task and target audience.
  • Unlike academic research, there may not always be a hypothesis to be validated at inception, nor the outcome pure knowledge.
  • Instead, there is a goal driving the design of the research, whether broad focused and exploratory, or narrow focused and specific.
  • This initiating goal can be set at three levels:
    • Sector specific
      • An example of sector specific goal setting would be to explore the potential for financial products and services for a bank. Alternately, this can be framed as identifying opportunities for innovation in financial services.
    • Demographic specific
      • A startup with a product or service under development may want to discover which segments of the target population should be prioritized for their product testing and launch. Alternately, a consumer products manufacturer might want to explore wholly new markets and the customization required for their product range.
    • Outcome specific
      • A popular outcome specific research framing that is sector and population agnostic is “What are the barriers to adoption for our intended innovation among this target audience?” We have conducted such research for a wide range of objectives, from the introduction of sustainable agricultural techniques among farmers in rural East Africa, to insights driving product development for a fintech startup.

The challenge in untapped markets is a dearth of legacy data and consumer insights, hence the need for more discovery driven exploration upfront prior to drilling down to specific research focus areas. In the forthcoming post, I will share our customization of Vijay Kumar’s innovation planning methodology developed over the past few years in situ during projects in East Africa. Note that subsequent research to inform the specific concept design of a product or service will have more of an indepth focus on the target demographic and their particular context.

Lessons for development from the demand driven investment strategies of the informal sector

This shopkeeper in Laare, Kenya provided me with deep insight on how investments in expensive inventory are managed in a heavily cash based economy. He runs a consumer electronics store stocking everything from solar panels, music systems, spare parts and batteries, through to mobile phones and accessories.

His purchasing decisions are based on visible consumer demand, he said, preferring to stock what he calls “fast moving items” that sell and keep the cash flowing than to risk tying up capital in something that might not sell. For instance, he pointed to a dusty 5W solar panel, this has been sitting here for a year since most customers in the area prefer buying 20W or larger.

In this context, “fast moving items” are not the same as the marketing term “Fast Moving Consumer Goods” or FMCG which refers to over the counter perishables and consumables like tea, shampoo, biscuits or soap. Instead, they refer to the product range that sells in the local market, and as my visits to electronics stores in different parts of Kenya back in 2012 quickly showed, each market had different price points and products which tended to be “fast moving”.

In a more economically challenged region, it was black and white 14″ TV sets, smaller solar panels and no name Chinese mobile phones, while in the wealthier region around Kilgoris as we see in the previous post, its flat screen Sony Bravias and very large solar panels that sell.

Local demand drives decisions, and thus business growth strategies and investments. Can this insight not also inform development strategies?

The Economist has just published this article on how fish farms are experiencing a boom in response to the growing demand for food from the big city:

The task of feeding that huge population has not been accomplished by the government, by charities or by foreign agricultural investors. It is the work of an army of ordinary Bangladeshis with an eye for making money. Mr Belton’s research shows that the number of fish-feed dealers in the main aquaculture areas more than doubled between 2004 and 2014. So did the number of feed mills and fish hatcheries. Mr Belton has found similar trends in Myanmar, where the fish farms are often larger than in Bangladesh, and in India.

As well as transforming landscapes in a large radius around Dhaka, the fish boom has changed many people’s lives. Aquaculture requires about twice as much labour per acre as rice farming, and the demand is year-round. Many labourers who used to be paid by the day are now hired for months at a time. Seasonal hunger, which is a feature of life in some rice-farming regions of Bangladesh, is rarer in the watery districts. People are eating more protein. Mohammad Shafiqul Islam, a feed dealer, points to another advantage. Because food is now so cheap in the cities, migrant workers are able to send more money back to their families in the villages.

I believe this element of assessing local or regionally accessible demand for a product or commodity before investment is often missing even from the private sector influenced “making markets work” philosophy now prevalent in development strategies. Too often, the “market” is framed as an international one, and an e-commerce platform devised as the bridging solution. Local intermediaries are demonized as “brokers out to squeeze profits at the farm gate” without once considering their role as infomediaries of supply and demand. The very information networks that provide the shopkeeper with guidance on what would sell and what to order are often erased and replaced with an app. Little or no attention is paid to existing consumer demand nor any attempt to link to the existing ecosystem. The informal becomes invisible.

How many of these pilots fail to sustain themselves once the project’s funding cycle ends?

Leveraging Disability as Competitive Advantage: The Wheelchair Cargo Movers of Uganda

Only in Busia do wheelchair owners from all over Uganda congregate as it is to their economic advantage to do so. Documented, and observed were the handicapped professionals who crossed the border numerous times a day ferrying goods.

In the past 25 years, the Busia tricyclists have created a strong community with initiative and resourcefulness in exploiting economic and political opportunities. Dialogue and negotiations have allowed them to conduct business without having to pay customs duties under the watchful eye of the authorities.

They point out with satisfaction that there are no disabled people begging on the streets of Busia, not even on Fridays when Muslims give out alms to the poor. On the other hand, each new officer must be sensitized.

These children from destitute families earn shillings helping with moving the freight. Neither participant is dependent on handouts.

 

Photographs: Michael Kimani, for Emerging Futures Lab, in Busia, Uganda, December 2015.

Household energy consumption behaviour in East Africa: Lighting & Conclusion (3 of 3 Parts)

 

Jua Kali Kerosene Lamp, Kenya

The following is extracted from a six month study during 2012 on household energy consumption behaviour in rural Kenya and Rwanda among the lower income demographic, that led to an understanding of some of barriers hampering the sales of client’s solar products in this market. This 3rd and final part will focus on fuel usage and consumption behaviours for lighting. Users sampled for this study were selected based on varying fuel consumption patterns, ranging from a single homestead to a rural hotel open from dawn to 1am offering solar powered football on television.

Fuel Choice and Consumption Behaviour is Influenced by Duration and Timing of the Need

Kerosene is the primary source of fuel for lighting for those who live without access to electricity, regardless of whether its on their shamba, or in a building in town. Not only is the reach of grid access limited to a small percentage of rural Kenyans but the cost of the final connection to the dwelling is also a barrier for many. Due to the nature of this project’s focus, the majority of homes visited were without a solar home system.

Hurricane lanterns are the most popular lighting devices among kerosene users, as the glass covering the lamp protects the flame as well as contains the smell and smoke. With prices as low as 250Kes, everyone has at least one, if not more at home and the number maintained depends on size of the family, number of buildings on the homestead and the fluctuating ability to purchase fuel.

Pressure lamps can cost ten times as much and consume far more fuel although they offer a brighter light – they were not seen in Makueni households and the only regular user was the furniture maker who restricted its use to times of high productivity during the Christmas season. In Kisii, they are owned by members of the congregation who use them once a month for religious functions and the fuel is provided by the church. Gregory the schoolteacher called them “gas guzzlers” whose bright light was not worth either the high running cost or price of the device itself.

Everyone owns a few small tin lamps but they were referred to as something discarded during the upwardly mobile climb to a hurricane lantern – “Oh, we must have a few lying about somewhere in a dusty corner” said one wife while Mama Grace only used it in the confines of the kitchen building where the open flame, with its attendant smoke would make no difference. However, due to their small size, they require very small amounts of kerosene and tend to be kept as a backup for times of need when the fuel supply runs low or to be used by the aged, such as Kilonzi’s grandmother who finds the hurricane lantern difficult to maintain.

In addition to kerosene fuelled lamps and lanterns, every home owned at least one flashlight of some sort, whether powered by dry cell batteries, grid rechargeable or disposable for what they referred to as “emergencies or needing to go outside at night”. By emergency, they meant that this form of light was faster and easier to turn for sudden need than the more complicated task of lighting a kerosene lamp, plus it could be used in wind or rain. For many, this item received first priority if resources such as batteries or cash for charging were limited.

What stood out across the board was that everyone knew, almost to the minute in some cases, exactly when they used their light source. This behaviour was evident regardless of the household’s energy source including if it was solar power and thus “free”. Answers would range in specificity from estimates “around 7pm to maybe 10pm, sometimes later” to on the dot timings “from 5.45am to 6.30am in the morning”.

“I only use it for children to study” Mama John who scrimped and saved for solar

This gives rise to the conjecture that the fundamental observation in household financial behaviour of being able to control time (duration, frequency, periodicity) and money(whether prepaid source of fuel like kerosene or postpaid like electricity), is an ingrained habit even after upward mobility has removed the need for such stringent conservation. SHS do not require the same frugality daily use and cost and this can be seen in increased use of entertainment appliances like televisions and radios but lights still follow this pattern. However, it can also be said that rural life is slow to change in response to the introduction of modern conveniences and this may also be a significant factor.

The dry cell battery

Similar patterns of duration and accuracy of timing were also observed in choice and purchase of dry cell batteries, particularly for the radio. People knew which specific programs they wanted to listen to thus the
time and duration of their use of the radio. Everyone wanted to be able to listen to the radio more often but conserved battery life for as long as possible. Many even acknowledged that expensive brands like Eveready which cost 65Kes a pair lasted three times as long as the cheaper Chinese Lion brand costing only 30kes the pair but their irregular cash flows acted as a barrier to purchase dependant as they were on what cash was available on hand (or in pocket) at time of need.

Concluding Remarks

Consumers with limited incomes prioritize household energy and fuel spending according to importance for survival. Food and thus cooking come first followed by light. Everything else depends on the criticality of need against funds available. For example, Muthoka, who was unemployed and living on his small subsistence farm deep in the interior away from a market town, said that if he had to choose between 20Kes worth of kerosene or charging his mobile phone, he would choose kerosene first for lighting was more important to him than his mobile.

Similarly, Gregory the schoolteacher, put batteries for the emergency flashlight as more important than for playing the radio. The question becomes “What can we do without?” and only one of the many respondents of the more general household survey prioritized her mobile phone over light but she was a business woman whose income depended on her being available for calls.

The caveat here is that these answers are not absolutes and while most people will say that the phone is less important, there will be times of need when charging the phone or topping up airtime will be critical.

However, unlike kerosene or dry cell batteries for light, one can always borrow a friend or neighbour’s phone for an emergency phone call. These are the kinds of trade-offs people make when living on the edge on limited and irregular cash flows.

Pricing is rarely the problem

These insights on people’s household energy management and purchasing patterns, based as they are on the limitations and timing of their income sources are what led to the conclusion that the actual price itself was not the barrier to sales but instead it was a combination of factors starting with the choice of packaging and the subsequent pricing and sales strategy.

 

Part One: Introduction to Household Energy Consumption Behaviour Study in East Africa (2012)
Part Two: Cooking